US20070192254A1 - Multi-processing financial transaction processing system - Google Patents

Multi-processing financial transaction processing system Download PDF

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US20070192254A1
US20070192254A1 US11/689,219 US68921907A US2007192254A1 US 20070192254 A1 US20070192254 A1 US 20070192254A1 US 68921907 A US68921907 A US 68921907A US 2007192254 A1 US2007192254 A1 US 2007192254A1
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transaction
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William Hinkle
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N_GINE LLC
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Priority to US09/181,698 priority patent/US6442533B1/en
Priority to US10/085,596 priority patent/US6904411B2/en
Priority to US10/928,463 priority patent/US20050165668A1/en
Application filed by N_GINE LLC filed Critical N_GINE LLC
Priority to US11/689,219 priority patent/US20070192254A1/en
Publication of US20070192254A1 publication Critical patent/US20070192254A1/en
Assigned to N_GINE LLC reassignment N_GINE LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: HINKLE, WILLIAM H.
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    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06Investment, e.g. financial instruments, portfolio management or fund management
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q40/12Accounting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q40/125Finance or payroll
    • GPHYSICS
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    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/109Time management, e.g. calendars, reminders, meetings, time accounting
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    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/40Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
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    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/12Accounting
    • G06Q40/128Check-book balancing, updating or printing arrangements

Abstract

A financial transaction processing system is disclosed, wherein substantial processing efficiencies are provided with, additionally, a substantial decrease in the size of the executable code. Each transaction processed by the transaction processing system is described by a transaction data descriptor that includes a series of subtransaction data descriptions of actions that can be performed independently of one another. Thus, complex transaction processing logic is substantially removed from the executable code, and instead such transaction data descriptors are processed interpretatively. Moreover, the independence of the subtransactions allows the subtransactions of a transaction to be processed in parallel when performed on a multiprocessor computer. Additionally, the transaction processing system provides account balancing enhancements in that there are control columns in various data tables that are automatically updated during transaction processing so that by comparing control column totals, an indication of the integrity of current financial records is provided. Additionally, the transaction processing system provides full auditability in that any changes to financial data can be traced for any effective period of time into the past so that auditors can periodically perform a full audit of the financial transaction data retained by the transaction processing system.

Description

    FIELD OF THE INVENTION
  • The present invention relates to a financial transaction processing system, and in particular, to such a system that is capable of decomposing transactions into subtransactions and multi-processing subtransactions simultaneously.
  • BACKGROUND OF THE INVENTION
  • Computerized data processing systems for processing financial transactions have become increasingly more complex as further strides toward automation have occurred. Such complexity has generated a number of related difficulties for the financial data processing industry. In particular, complex financial transaction processing systems may have subtle programming defects or errors that may go unnoticed for long periods of time before the extent of the problems thereby generated are fully recognized. For example, the number of positions allotted for the dating of transactions has recently been problematic, wherein the dates for the millennium starting at the year 2000 can be problematic for many financial transaction processing systems.
  • In addition, such complex financial transaction processing systems also are typically incapable of being fully audited. That is, it is common practice in the financial data processing industry to provide only partial auditability in that it is generally believed that the amount of data required to be stored for full auditability is so large as to not be cost effective.
  • Further, in many circumstances, the rate of transaction increase is becoming problematic in that progressively larger computers are required for processing financial transactions at an acceptable rate. This problem is exacerbated by the fact that such transaction processing systems are not architected for use on multi-processing machines having a plurality of processors. Thus, the advantages of parallel-processing computers cannot be fully utilized by such systems.
  • Accordingly, it would be advantageous to have a financial transaction processing system that alleviates the above difficulties, and that additionally, provides flexibility to adapt to the changing business needs of business enterprises so that the transactions processed and the respective reports generated may be modified easily according to business constraints and demands.
  • SUMMARY OF THE INVENTION
  • The present invention is a financial transaction processing system that achieves substantial increases in auditability and processing efficiency. In particular, the present invention provides auditable trails or history in a number of different ways. For example, financial data within transactions is used in the present invention to update various control fields in different tables or files so that cross-checks of system financial integrity can be performed for assuring that, for example, cash fields, total units fields, and cost fields balance appropriately across system data tables provided by the present invention. Additionally, the present invention provides a full range of auditable history files for each system data table having information that is required during auditing.
  • The present invention also performs financial transaction processing using a novel computational paradigm. That is, the financial transaction processing system of the present invention has an architecture wherein financial transactions can be decomposed into corresponding collections of independent subtransactions, such that for each input transaction, the corresponding collection of subtransactions are performed by operations that are independent of one another. Thus, the subtransactions can be performed in any order, including in an overlapping fashion, such as may occur during multiprocessing of these subtransactions on a computer having multiple processors.
  • Further, note that each of the subtransactions is described by a relatively short (e.g., less than 8 characters) text string that can be straightforwardly interpreted as an operation (e.g., either plus or minus) together with a series of operands, in particular, a first operand having a value to be used in modifying a data table field (column) specified by a second operand. Such high level descriptions of subtransactions provide both compact conceptualization and a reduction in the total size of the executable code for the present invention. Accordingly, when one of the subtransactions is performed, not only is its corresponding operation performed on the operands, but additionally, control fields such as those mentioned above are updated appropriately in various data tables for the present invention to enhance auditability of the financial data resulting from the transaction processing. Further, note that since the subtrarisactions are independent of one another and their executable code is relatively small, there is no need for lengthy and complex flow of control transaction processing modules. That is, the size of the code for the present invention may be up to 100 times smaller than many prior art transaction processing systems. Accordingly, this has a substantial positive impact on the efficiency of the present invention in that the swapping of program elements in and out of primary computer memory is substantially reduced.
  • In another aspect of the present invention, the financial transactions of a plurality of business enterprises can be processed in an interleaved manner. In particular, since the present invention is substantially data driven, including the descriptions of the transactions and their related subtransactions, the present invention can be easily modified to incorporate both different or updated versions of transactions and associated data tables for an existing business enterprise (e.g., also denoted “licensee” hereinafter). Additionally, the transactions and related data tables for an entirely new or different business enterprise (licensee) may be straightforwardly incorporated into the present invention so that its transactions can be interleaved with the transactions of other business enterprises. Thus, transaction processing may be performed by the present invention for business enterprises having different transactions, different account record structures and differently organized general ledgers substantially without modifying the program elements of the transaction processing system.
  • For example, the present invention can be used to simultaneously process transactions for:
      • (1) a single software application such as an investment management or telecommunications billing system,
      • (2) multiple disparate software applications such as investment management, and ‘telecommunications’ billing, paying agencies, etc., all with disparate definitions.
  • Accordingly, the present invention may be viewed as a software engine, or a user-definable transaction processing tool that can be adapted to a variety of industry specific software application needs without changing the actual program code. That is, by surrounding the present invention with application specific software for inputting transaction data to the multi-processing financial transaction processor of the present invention and retrieving data from the multi-processing financial transaction processor of the present invention, a particular business enterprise can have substantially all of its financial records in condition for auditing on a daily or weekly basis.
  • The present invention may be further characterized along the following dimensions: flexibility, auditability, multiprocessing, efficiency and size, these dimensions being discussed, in turn, hereinbelow.
  • Flexibility is achieved by permitting a business enterprise to define:
  • (1) a series of “reference” tables (also denoted “master tables”) that describe the appropriate management decision-making, accounting structure, and regulatory information for the specific application;
  • (2) a series of audit controls and system procedures that provide for complete control of all processing and prevent the overwriting of any original data;
  • (3) a series of institutional and customer reporting files, known as the “driven” tables; and
  • (4) the specific processing content of each individual transaction to be processed via a series of table definitions, known as the “driving” tables.
  • Thus, transactions may be customized according to the business needs of a business enterprise.
  • Auditability is achieved by:
  • (1) providing separate control columns for cash, units and cost basis (if any) in detail records generated and stored for each financial transaction;
  • (2) repeating these three control columns, or variations thereof, in at least three different tables so that subsequent summations of each of the four tables will result in similar balances and thus prove that no critical data has been lost in the course of processing, as one familiar with auditing and financial transactions systems will understand;
  • (3) adding appropriate data columns:
      • (a) to each reference table or master row for maintaining a history of the effects of add, change and delete commands in a current database as well as an archive database;
      • (b) to each original file record (i.e. table row) that represents an add to a current database as well as the periodic archive and purge to a permanent database;
      • (c) to tables for retaining transaction processing data representing error identification, error negation and error correction.
        Thus, auditabilty of transaction records is achieved by four sets of files for a specific period. These are: (a) a snapshot of all the reference files at the end of the period; (b) snapshots of a history file for each master table, wherein the corresponding history file (table) contains all changes to the master table during the specific period; (c) a snapshot of all financial transactions for the specific period, and (d) a snapshot of all of the “driven” tables at the end of the period.
  • Multiprocessing is achieved by:
  • (1) decomposing the processing of the present invention into a series of separate and independent subprocesses that may be simultaneously performed on any number of simultaneous processors, and
  • (2) decomposing input transactions into a series of subtransactions that are processed by independent processes, which may be executed in any particular order, with complete auditability.
  • For example, multiprocessing can be achieved by allocating the next prescribed subtransaction process to the next available processor.
  • Efficiency is achieved by:
  • (1) Defining and utilizing only four standard processing models that perform all prescribed functionality and auditability of the present invention. The models are:
      • (a) Processing Model 1 provides an architecture for maintaining historical transaction data so that financial changes can be traced through time;
      • (b) Processing Model 2 provides an architecture for automatically maintaining data columns such as Units, Debits and Credits for cross checking table sums to assure that the financial records for a business enterprise balance;
      • (c) Processing Model 3 provides an architecture for automatically maintaining financial records relating to financial instruments such as stocks, bonds, real estate, etc.; and
      • (d) Processing Model 4 provides an architecture for producing a common processing format for maintaining customer and institutional data tables.
  • (2) Defining only four primary program modules for controlling functionality of the present invention, these modules being:
      • (a) a transaction processing controller module for receiving transactions to be processed, and controlling the processing thereof;
      • (b) a preprocessor and decomposer module for determining the validity of a received transaction, assuring that all data tables and rows thereof are available for processing the transaction, and retrieving the appropriate subtransactions data descriptions to be processed;
      • (c) a subtransaction scheduling module for scheduling instantiations of the subtransaction processing module on each of one or more processors; and
      • (d) a subtransaction processing module for performing each subtransaction retrieved by the preprocessor and decomposer module.
  • (3) Utilizing a number of software switches to control which tables within collection of “driven” tables are to be updated when a specific type of transaction is to be processed.
  • Thus, by providing a small number of processing models, decomposing input transactions, and supplying only the necessary subtransaction descriptions, the reliability of the transaction processing system of the present invention is substantially increased.
  • The software for the present invention is small in size (both source code and object code) due to the following:
  • (1) defining business enterprise financial data processing methods, accounting structures, and regulatory definitions as data rather than program code;
  • (2) reducing the processing content to a series of individual transactions; and
  • (3) reducing all financial transactions to a collection of subtransactions wherein each subtransaction includes an operator and two or more operands in an 8-character string.
  • Thus, the financial processing by the present invention may be performed on several transactions at a time, one transaction at a time, or different processors within a multiprocessor context. Or, the subtransactions for a specific transaction may be spread over several simultaneous processors. This means that the business enterprise is afforded a large number of options in tailoring the present invention.
  • Hence, by defining the accounting structure and processing functionality as data rather than actual program code, the size of the total code required to process a specific industry application may be substantially reduced compared to prior art transaction processing systems. For example, the executable code for the present invention may be less than one megabyte (1 MB). Thus, since the secondary cache attached to each processor in multiprocessing personal computer servers can be one megabyte, substantially the entire executable for the present invention can be provided to each processor. Thus, the positive impact on total system efficiency is believed to be substantial in that secondary cache is typically about four times faster than normal cache, so productivity gains of about three-hundred percent would not be unreasonable. In other words, the executable code for the present invention can reside in the secondary cache of each processor, thereby allowing the off-loading of any processing function to any processor with relative ease. Additionally, given that a typical RAM memory for a personal computing devices is 16 megabytes, it is believed that such a device will have the capability to process the back office financial transactions of a major money center financial institution or communications billing system.
  • Additional features and benefits of the invention will become evident from the detailed description and the accompanying drawings contained herein.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 is a high level block diagram illustrating the present invention conceptually.
  • FIGS. 2A and 2B is another block diagram of the present invention illustrates: (a) the high level transaction processing modules, and (b) the data tables (represented by the symbols with arcuate vertical sides) provided and maintained by the present invention. Furthermore, the present figure shows the data flows as solid arrows and control flows as dashed arrows. Moreover, this figure also indicates the data tables effected by process models No. 2 and No. 3 of the present invention.
  • FIG. 3 is another high level block diagram of the present invention during activation of the preprocessor and decomposer 54 wherein the solid arrows are illustrative of the data flows that occur during the activation of the preprocessor and decomposer 54. Moreover, the tables within boxes represent tables having a process model No. 1 representation, and the tables having account balancing control fields include the identifier, “CNTLS.”
  • FIGS. 4-A through 4-E illustrate the steps of a flowchart for initializing the database tables of the present invention for a new business enterprise licensee that is to have its financial transactions subsequently processed by the present invention.
  • FIG. 5 is a block diagram illustrating process model No. 1 of the present invention.
  • FIG. 6 is a high level flowchart of the steps of an embodiment of the transaction processing controller 52 of FIG. 2A.
  • FIGS. 7-A through 7-D show the high level steps performed by an embodiment of the preprocessor and decomposer 54 of FIG. 2A.
  • FIGS. 8-A and 8-B show the steps of a flowchart for obtaining indexes or pointers to particular rows of a general ledger table wherein the rows are used in processing a transaction.
  • FIGS. 9-A and 9-B show the steps for a flowchart of an embodiment of the subtransaction processing module 64 (FIG. 2A).
  • FIG. 10 is an embodiment of a flowchart of the steps performed for processing income cash transactions by the present invention.
  • FIG. 11 is an embodiment of a flowchart of the steps performed for processing principal cash transactions by the present invention.
  • FIG. 12 is an embodiment of a flowchart of the steps performed for processing invested income transactions by the present invention.
  • FIG. 13 is an embodiment of a flowchart of the steps performed for processing invested principal transactions by the present invention.
  • FIG. 14 is an embodiment of a flowchart of the steps for performing custom accounting such as income expenses, and cash flow for a business enterprise.
  • FIG. 15 is an embodiment of a flowchart of the steps for maintaining a business enterprise's balance sheet related to buys and sells of financial entities or instruments.
  • DETAILED DESCRIPTION OF A PREFERRED EMBODIMENT OF THE INVENTION
  • FIG. 1 shows a high level conceptual block diagram of a transaction processing system 50 according to the present invention. In particular, the present invention is conceptualized in the present figure as including five functional components, these being:
  • (a) transaction processing controller 52 for: (i) receiving transactions 58 from business enterprises, (ii) controlling the processing of such transactions, including the scheduling of subtransactions to be performed, and (iii) writing of transaction details to, for example, a transaction journal file or table;
  • (b) a transaction preprocessor and decomposer 54 for initially receiving a transaction 58 from any one of a plurality of business enterprises as shown, wherein the preprocessor and decomposer 54 decomposes transactions into subtransactions;
  • (c) a subtransaction processing module 64 for performing the instructions for each subtransaction determined by the transaction preprocessor and decomposer 54. In particular, the subtransaction processing module 64 utilizes a collection of subtransaction programmatic data descriptions 66 that can be independently scheduled and performed for processing each transaction 58 provided to the transaction processing system 50;
  • (d) a subtransaction scheduler 62 for scheduling the execution of each subtransaction output by the preprocessor and decomposer 54;
  • (e) a collection of databases 70 containing financial information for each of the one or more business enterprises. Note that the term “database” in the present context includes both the data therein as well as database management functional elements and data structure definitions.
  • Another illustration of the present invention is provided in FIG. 2. This figure is a block diagram providing both the processing components of FIG. 1, and additionally, greater detail is provided of the tables or files within the databases 70. However, to simplify the discussion hereinafter, the database terminology used will be that of a relational database. Accordingly, files may also be equivalently referred to as tables, records may also equivalently be referred to as rows, and record fields may also be equivalently referred to as columns. Thus, all the data storage symbols having the collective label of 70 are provided within the like numbered databases of FIG. 1. It is worth noting, however, that in one embodiment of the present invention, the data tables for distinct business enterprises may be provided in the same collection of tables such as those represented in FIG. 2. That is, it is an aspect of the present invention that the accounting and transaction processing of the present invention can use the same plurality of financial data tables for business enterprises having substantially different financial transactions and accounting categories. Thus, although FIG. 1 illustrates the databases 70 as being distinct for each business enterprise, many of these databases (if not most) may be combined into a single database having a plurality of data tables such as those labeled collectively “70” in FIG. 2, these tables being discussed in detail hereinafter.
  • Referring still to FIG. 2, a high level view of the processing performed when processing a transaction 58 is provided. In particular, the transaction processing controller 54 receives an input transaction 58 and invokes the preprocessor and decomposer 54. The preprocessor and decomposer 54 subsequently performs, for each transaction 58, the following functions:
      • (a) determines, using input from the business enterprise databases 70, whether all necessary data for performing the transaction is available and otherwise rejects the transaction without performing any portion thereof. In particular, the transaction preprocessor and decomposer 54 determines that all data tables to be accessed are available;
      • (b) retrieves the data needed to perform the transaction;
      • (c) checks to determine that the transaction operation(s) requested is available, and that the transaction is legitimate to be performed on the data for the input transaction 58;
      • (d) retrieves the subtransaction data descriptors for decomposing the input transaction 58 into subtransactions.
        Accordingly, the preprocessor and decomposer 54 retrieves into the working storage 72 (shown in FIG. 3) of a host computer (not shown), upon which the transaction processing system 50 is operating, substantially all data and table rows that are necessary to process the transaction 58. Additionally, note that as one skilled in the art will understand, if some portion of the required data to process the transaction is unavailable, then the preprocessor and decomposer 54 terminates processing and subsequently writes appropriate error messages and/or details of the transaction into the reject table 74 (FIG. 2).
  • Assuming that the preprocessor and decomposer 54 successfully performs the gathering of information for the decomposing of the transaction into subtransactions appropriately, then control is returned to the transaction processing controller 52, wherein this controller then writes the details of the transaction to the transaction journal 78 along with identification data uniquely identifying the transaction (e.g., a transaction sequence number and/or time and date stamp). Following this, the transaction processing controller 52 invokes the subtransaction scheduler 62 for scheduling the performance of each subtransaction by an invocation of the subtransaction processing module 64. Note that it is an important aspect of the present invention that since the subtransactions can be processed independently of one another for a given transaction, instantiations of the subtransaction processing module 64 can be executed in substantially any desired order. In particular, such instantiations of the subtransaction processing module 64 can be performed concurrently, thus providing a substantial increase in transaction processing efficiency when such concurrency is provided on a computer having a plurality of processors.
  • Given that a subtransaction is performed successfully by the subtransaction processing module 64, various accounting tables within the transaction processing system 50 are updated. In general, each subtransaction conceptually indicates a single operation of either plus or minus that is to be performed with two operands also indicated in the subtransaction. That is, the first operand indicates the data to be added or subtracted from a particular field or column of a table row identified by the second operand. Additionally, each subtransaction updates other tables within the transaction processing system 50 automatically in order to provide consistency among the data tables so that: (a) substantially on-line account balancing capabilities can be performed, and (b) full auditability of the records of the business enterprise providing the transaction can be facilitated by retaining history records of table updates, as will be discussed with reference to “master table transaction cluster processing” described hereinbelow. Accordingly, each subtransaction processed by an instantiation of the subtransaction processing module 64 may update a plurality of the data tables contained in the collectively labeled database 70. Note that for one skilled in the art of transaction data processing and accounting, the names provided to the tables are indicative of their information content and structure. However, for clarity, substantially all of the tables for the present invention will be discussed in detail and/or illustrated hereinbelow.
  • The subtransaction processing module 64 processes subtransactions derived from three general categories of transactions that may be input to the present invention. That is, there may be input transactions for each of the following types of financial transactions (1.1) through (1.3) hereinbelow.
  • (1.1) Transactions related to exchanges of funds such as cash debits and credits for accounts of a particular business enterprise are provided. At a high level, the tables related to this functionality include the account master table 84 (FIG. 2), the general ledger table 88, and the entity, attribute master table 92.
  • (1.2) Transactions related to additional or customized accounting for clients having accounts in the account master table 84 are provided. For example, in addition to providing the functionality of the transactions described in (1.1) immediately above, a customer income statement (income/expense) table 96 may be provided with client account and transaction information related to income and expenses for tax purposes. Additionally, a customer cash flow (receipts/disbursements) table 100 is also provided for recording any account transaction information related to receipts and disbursements in client accounts. Further, a customer performance measurement table 104 is also provided for retaining client account performance information related to the performance of client portfolios in comparison to investment indexes such as the Dow Jones Industrial Average, the S&P 500, etc. Note that these tables will be discussed and/or illustrated hereinbelow.
  • (1.3) When transactions are additionally related to financial instruments other than cash, debits and credits, such as portfolio management wherein there is buying and selling of equities, income derived from equities, and trade settlements related thereto. Further, note that these additional capabilities also provide the same degree of flexibility, adaptability and simplicity as provided in relation to the transaction processing capabilities discussed in (1.1) and (1.2) immediately above. That is, financial equity transactions of various types and for various business enterprises may be easily modified and/or added or removed from the transaction processing system 50 of the present invention, since these transactions are also described by transaction data descriptors consisting of a collection of subtransactions that are capable of being performed in substantially any order that is determined by the subtransaction scheduler 62.
  • Accordingly, in providing the functionality for the transactions related to portfolio management, the preprocessor and decomposer 54, upon being invoked by the transaction processing controller 52, also retrieves into working storage (as shown in FIG. 2) the necessary data for processing such portfolio maintenance transactions, this data including a subtransaction decomposition for the transaction. Subsequently, as discussed hereinabove, the subtransaction scheduler 62 invokes an instance of the subtransaction processing module 64. However, in addition to updating any appropriate rows of the tables 84, 88, 92, 96, 100 and 104, the subtransaction processing module 64 invokes a portfolio adjuster module 110 for capturing and/or updating detailed data of portfolio transactions that are not otherwise effectively captured for proper accounting and auditing. In particular, for a given subtransaction, the portfolio adjuster 110 invokes one of the following modules (2.1) through (2.4) hereinbelow.
  • (2.1) Original add module 114 for processing a subtransaction related to the addition of further financial instruments to a portfolio such as occurs when securities are bought and must be added to a given account.
  • (2.2) A reverse of add module 118 for reversing an addition of financial enterprises to a particular account portfolio. Note that this module is typically activated when financial enterprises are inadvertently added to an incorrect portfolio account.
  • (2.3) An original sell module 122 for processing subtransactions related to selling financial enterprises within a given account portfolio.
  • (2.4) A reversal of original sell module 126 for reversing the affects of an inadvertent sell of financial enterprises within an account portfolio.
  • These four modules 114-26 update the tables labeled collectively as 70B. In particular, the processing performed herein and the tables updated herein are described below.
  • Major Programs and Functionality
  • Major Programs
  • The N_gine transaction processing system contains four major programs. These are:
      • (1) Transaction Processing controller 52
      • (2) Transaction Preprocessor and Decomposer 54
      • (3) Subtransaction Processing module 64
      • (4) Subtransaction Scheduler 62
        Program Functionality
  • The purpose of the Transaction Processing controller 52
      • (a) test for incoming transactions and once detected
      • (b) execute the Transaction Preprocessor and Decomposer 54 and then
      • (c) execute the Subtransaction Processing module 64 for each transaction.
  • The purpose of the Transaction Preprocessor and Decomposer 54 is to verify
      • (a) that all information in the transaction is accurate
      • (b) that all files and controls are available to properly process the transaction
      • (c) that the specific subtransaction processing instructions are loaded into working storage.
  • The purpose of the Subtransaction Processing module 64 is to
      • (a) execute all of the subtransactions that have been previously defined for a transaction
      • (b) create auditability for every transaction.
  • The purpose of the Subtransaction Scheduler 62 is to
      • (a) allocate a specific task to a specific processor
      • (b) return processing to the Transaction Processing controller 52.
  • The present invention may be described as “Table-Driven Transaction Processing”. That is, the present invention permits the processing of virtually any type of user-definable transaction by defining the processing for such transactions as data descriptors that are interpreted in real time and dynamically as needed for processing corresponding transactions. Accordingly, the transaction data descriptors are denoted as “driving data” and are defined by the transaction processing master table and the transaction master table. That is, the transaction master table provides a first initial collection of data for identifying each transaction and the transaction processing table provides the remainder of the data including the subtransaction decompositions. Accordingly, each transaction processed updates an appropriate set of user-definable tables (known as the “driven” data) for completing the processing of the transaction. Since both the “driving” and the “driven” information is expressed as data rather that actual code, the entire functionality of the system can be changed in a straightforward manner.
  • In the description hereinbelow, the functional components of the present invention are also identified by other naming conventions from the description above. Accordingly, the following table shows the pairing of the functional component identifications above with those also used below:
    ABOVE BELOW
    TRANSACTION PROCESSING N_GINE COMMAND
    CONTROLLER 52 PROCESSOR
    TRANSACTION PREPROCESSOR N_GINE EDIT PROCESSOR
    AND DECOMPOSER 54
    SUBTRANSACTION PROCESSING N_GINE POSTING TO AM,
    MODULE 64 EA AND GL
    SUBTRANSACTION N_GINE SCHEDULER
    SCHEDULER 62
    PORTFOLIO ADJUSTER 110 AORS
    ORIGINAL ADD MODULE 114 ORIGINATE ADD
    PROCESSING
    REVERSER OF ADD MODULE 118 REVERSE ADD PROCESSING
    ORIGINAL SELL MODULE 122 ORIGINATE SELL ROUTINE
    REVERSE OF ORIGINAL REVERSER SUBTRACT
    SELL MODULE 126 PROCESS
  • N_gine System Design Rules
  • A. The Magic Number in Software Design is 1. That is,
      • store data once,
      • program data once,
      • process data once.
  • B. Design a total system with the fewest number of processing models. For example,
      • One model for processing all adds (inserts), changes (updates), and deletes (deletes) for all Master (or Reference) Files (or tables).
      • One model for processing all of simple transactions (such as debits and credits), including original and reversing entries.
      • One model for processing all complex transactions (such as buys and sells), including original and reversing entries.
      • One model for processing all adds (inserts), changes (updates), and deletes (deletes) for all Detail Record (or “driven”) Files (or tables).
  • C. Use the first and last models to process all files (or tables) in the entire system.
  • D. Include audit controls for every table in the system from the very outset of design.
  • E. For reasons of productivity assessment, include Production Statistics for every job.
      • Namely,
        • Begin Time
        • Number of Transactions
        • Number of Acceptances
        • Number of Rejects
        • End Time.
  • These variables represent the only true means of measuring actual productivity.
  • F. For reasons of auditability, never overwrite any original information. Move all original information from data entry (cradle) to data warehouse (grave) without any changes.
  • G. For reasons of reliability and profitability, system designs should focus on a “large number of small programs” rather than a “small number of large programs”. The result is not only ease of maintenance but also the ability to spread the small programs across a number of simultaneous processors.
  • H. For reasons of manageability, all system designs should embrace one integrated enterprise-wide standard naming convention for all files (tables), records (rows), and fields (columns).
  • I. For reasons of portability, use the fewest number of language commands to code the system. Avoid vendor and/or language extensions.
  • J. For reasons of flexibility, never hard code what can be table-driven.
  • N_gine Design Concepts
  • A. Only 4 Processing Models for Financial Services and Telecommunications Applications
      • 1. Schema
      • 2. Units, Debit/Credit
      • 3. Assets/Liabilities
      • 4. File Maintenance Routine
  • B. Table-Driven Transaction Processing for maximum flexibility
      • 1. Number of Transactions
      • 2. Name of Each Transaction and Unique Details
      • 3. Processing Algorithms (at least 1, up to 20 depending upon complexity)
      • 4. Each algorithm has 3 components
        • a. Plus (P) or Minus (M)
        • b. Operand 1
        • c. Operand 2
  • C. 100% Auditability For Every Transaction by creating
      • 1. a Detail Record containing all relevant data and
      • 2. hash totals of three relevant fields in at least 3 other tables.
  • D. The 3 relevant fields for calculating all hash totals are:
      • 1. Cash
      • 2. Units
      • 3. Cost Basis
  • E. Basic Relational Database Management System Processing Concepts
      • 1. Commit/Rollback
      • 2. Row Level Locking
      • 3. Indexing, ROWID
      • 4. Stored Procedures
      • 5. Shared Memory
  • F. Some Financial Services Accounting Systems are not permitted to commingle funds. That is, separate accounting for both income and principal must be provided. Therefore, each account master must have a designated “income posting code” to define the proper processing. Such a code might be: (I) Income Only, (P) Principal Only, (B) Both Income and Principal.
  • N_gine's Basic Tables
  • Licensee Profile (The Licensee “Reference” or “Master” Tables)
    • LM The License Master table contains the necessary information to process any type of licensee using either single or multiprocessing computers.
    • LU The Licensee User Master identifies different users for the disparate systems that may be processed simultaneously.
    • LT The Licensee Account Type table contains the necessary information to process any type of account be it for a pension trust account, a communications account, or a corporate subsidiary.
    • LD The Licensee Default Definition table the default definitions for cash, units, and cost basis controls for total system control.
    • LL The Licensee General Ledger Definition is a list of all of the acceptable entries for the General Ledger. That is, it provides a framework for processing any type of accounting controls for any set of account types.
    • LS The Licensee Diversification Scheme contains a three level classification scheme for reporting an decision-making purposes for any set of assets and liabilities.
    • LP The Performance Measurement Group Master contains a three level classification scheme for measuring the performance of different investment groups.
    • LN The Licensee Summary Name Master contains a list of the entries on any type of Income Statement and Cash Flow Statement.
    • LW The Licensee Wholesaler Master contains name, address, sales volumes, etc. wholesalers of communications services.
    • LR The Licensee Reseller Master contains name, address, sales volumes, etc. for resellers of communications services.
      Account Profile (The Customer “Reference” Tables)
    • AO The Account Objectives Table contains the different types of account objectives, such as income, growth, capital preservation, etc.
    • AL The Account Jurisdiction contains the different types of legal relationships, such as broker, agent, trustee, advisor, etc.
    • AJ The Account Jurisdiction contains the different types of legal jurisdiction, such as federal law, state law, foreign law, etc.
    • AR The Account Representatives Table houses the different representatives, their names and communication addresses.
    • AN The Account Registration Names is a list of legal names used in security settlement.
    • AM The Account Master table provides all of the necessary information to process any type of account by linking the Account Objective, Account Jurisdiction, Legal Capacity, Profit Center, Account Representative, and Registration tables plus other relevant data for reporting content and reporting cycles.
    • AC The Account Communications Links links the Account Number for Financial Services to the account numbers for communications services so that all information can be contained in one reporting scheme.
      Transaction Profile (The “Driving” Tables)
    • TM The Transaction Master table provides all of the information to process any type of transaction, excepting the specific processing algorithms.
    • TP The Transaction Processing table provides all of the specific processing algorithms for any type of transaction master. The Transaction Master and Transaction Processing tables provide all of the necessary information to process any type of transaction.
    • TR The Transactions-Recurring Table (TR) contains the necessary information for automatically processing any type of transaction on a recurring basis.
      Entity Profile (The Entity “Reference” Tables)
    • EM The Entity Master table provides all of the necessary information to process any type of financial entity.
    • EA The Entity Attribute table joins all relevant diversification (known as type, group, and class), general ledger (known as accounting control numbers), and performance group (known as type, group, and class) data into one table for only one access seek.
    • ET The Entity Transaction table links specific transactions to specific entities, such as BG (Buy Government) for a US Treasury Note, BF (Buy Tax-Free) for a tax-free bond, BE (Buy Equity) for common stocks, etc. Note: It is the correct assignment of such transactions to such entities that permits the proper accumulation of data for income tax purposes.
      Licensee Status
    • SG The System General Ledger contains all of the information to process any type of institutional accounting control.
    • SJ The System Transaction Journal Table contains all of the transactions and all of the details for each transaction for a specific accounting period.
    • ST The System Trade Settlement Table contains all of the automatically generated offset transactions for Buys and Sells
    • SS The System Summary Table contains a record for each execution of the system with the Begin Time, End Time, Number of Total Records Read, Number of Accepts, Number of Rejects, etc.
    • SR The System Reject Table contains a list of all transactions rejected for whatever reason.
    • SC The System Transaction Count Table contains the number of each type of transaction processed on any given transaction.
      Customer Status (The “Driven” Tables)
    • CS The Customer Income Statement contains all revenues, expenses, and profits or losses for all customer accounts.
    • CF The Customer Cash Flow Statement contains all receipts and disbursements for all customer accounts.
    • CB The Customer Balance Sheet table contains all assets and liabilities for all customer accounts.
    • CG The Customer Capital Gains table contains all of the realized capital gain details for all customer accounts.
    • CI The Pending Income table contains all of the pending income, such as interest or dividends, for all accounts.
    • CA The Pending Capital Adjustments table contains all of the pending capital adjustments, such as stock splits, stock dividends, mergers, acquisitions, etc., for all accounts.
    • CP The Performance Measurement contains all of the periodic performance records for all customer accounts.
      The Control Tables (The “System Balance” Tables)
  • Since every transaction is recorded in a detail record plus hashed to three other control tables, the control values of cash, units, and cost basis are added to like values in the following control tables:
      • Account Master, System General Ledger, and Entity Attribute tables.
  • For other reports such as the Income Statement and the Cash Flow Statements, the Performance Measurement table is used as a control table instead of the General Ledger.
  • The present invention includes four computational processing models (process models 1 through 4) for processing financial transactions and assuring full auditability and traceability.
  • The purpose of Process Model 1 (FIG. 5) is to create a single methodology for capturing, maintaining, and archiving the non-financial transaction data including a master table (reference table, or schema) data for 100% auditability within a single software system. This model provides:
  • A current database 300 (FIG. 5) (for additions, negations and corrections) and an archive database 304 (Read Only)
  • Eight tables (i.e. tables 312, 316, 320, 324, 328, 332, 336 and 340, of FIG. 5)
  • Number of Modifications
  • 12 Control Fields per master table
  • A sequence number generator
  • A process flow methodology for add, change, and delete of data table rows.
  • The operation of Process Model 1 is as follows:
  • 1) Normal Updating to current database 300
    Write to Write to Move Master Add to Change Delete
    Reject Accept to History Master Master Master
    Add
    IF Identifier Found X
    IF Identifier Not Found X X
    Change
    IF Identifier Not Found X
    IF Identifier Found X X X
    Delete
    IF Identifier Not Found X
    IF Identifier Found X X X

    2) Periodic updating to the archive database 304 at the end of a pre-determined time period. That is,
      • (a) archive snapshots of the archive master 312 in the current database 300 to the master in archive database 304;
      • (b) archive the archive history 332 in the current database 300 to the master history 340 in the archive database 304;
      • (c) purge the history table 332 in the current database 304.
  • The purpose of Process Model 2 (FIGS. 2A, 2B) is to create a single methodology for: capturing, maintaining, and archiving the financial transaction data including: units, and debit/credits for one or more disparate financial applications with 100% auditability, wherein the processing is performed by: (a) computing configurations containing any number of simultaneous processors, (b) decomposing each input financial transaction into separate and independent subcomponents, (c) allocating the subcomponents across any number of multiple processors.
  • The methodology of process model 2 utilizes a data-driven transaction processing strategy, wherein the manner in which a transaction is processed is determined by retrieving appropriate control data for processing a given input transaction. Thus, the present model provides the ability: (a) to process like systems (such as financial services systems) with different transaction definitions and accounting requirements (such as commercial banking, broker/dealers, mutual funds, insurance systems) and different debits and credits and/or (b) unlike systems (such as telecommunications systems) with disparate definitions (such as landline, wireless, satellite, cable systems) within the present invention at the same time.
  • The purpose of Process Model 3 (FIGS. 2A, 2B) is to create a single methodology for: capturing, maintaining, and archiving the financial transaction data including: units, debits/credits, financial instruments for one or more disparate financial applications with 100% auditability within a single software system on computing configurations containing any number of simultaneous processors, decomposing each disparate financial transaction into separate and independent subcomponents, allocating the subcomponents across any number of simultaneous processors, and processing the data with 100% auditability. The methodology of Model 3 provides:
      • “Detail Record Maintenance”, that is, the ability to process transactions for similar business enterprises (such as portfolio management systems) relating to various financial instruments (such as disparate assets and liabilities) and/or transactions for dissimilar business enterprises (such as portfolio management systems, paying agencies, stock transfer systems) with disparate languages (such as English, Spanish, French, or German) and disparate definitions (such as management philosophy, accounting, and operating nomenclature) and unlike financial instruments (such as assets and liabilities) within the same software at the same time.
      • The ability to decompose, allocate, process, and audit each financial instrument transactions with 100% auditability.
      • The current databases 300 (for additions, negations and corrections) and the archive databases 304 (read only);
      • Sixteen data tables (some of which are shown in FIGS. 2A-2B) plus a sequence generator;
      • 12 control fields appended to the master tables for tracing master table changes;
      • One transaction three hash totals (mostly using AM, EA, and PM tables);
      • 4 currency fields;
      • Sequence number generation;
      • Reversing/reversed by detail;
      • Processing flow for additions, negations, and corrections.
  • The purpose of Process Model 4 is to create a single methodology for performing file maintenance including: creating a record (row) containing the initial data in a file (table) or modifying the initial data within an existing record (row) within a file (table) or deleting a current record (row) from a file (table) in any software application on computing configurations using simultaneous processors. Where the term, “Details”, hereinbelow represents the identity of the specific financial transaction, the methodology of the process model 4 is provided by programs such as the following:
    BEGIN
    IF Trxn is “ADD” then
    /* Test for Duplicate Add */
    SELECT One or More Values from the Desired File (Table) into Working Storage
    IF Error then
    /* Add New Record */
    INSERT INTO Reject Report
    IF Error then
    Message “INSERT Reject ADD”, Details
    Goto Write Reject Table
    ENDIF
    ELSIF
    /* Increment Existing Record */
    Increment One or More Data Values
    UPDATE SET, Details
    IF Error then
    Message “UPDATE Error ADD”, Details
    Goto Write Reject Table
    ENDIF
    ENDIF
    ELSIF Trxn is “SUBTRACT” then
    /* Test for Valid Record */
    SELECT One or More Value(s) from Existing Record
    IF Error then
    Message “SELECT Error SUBTRACT”, Details
    Goto Write Reject Table
    ENDIF
    /* Test for Valid Amounts */
    IF One or More Amounts > One or More Values from Existing Record then
    INSERT INTO Reject Report
    IF Error then
    Message “INSERT Reject SUBTRACT”, Details
    Goto Write Reject Table
    ENDIF
    /* Delete Existing Record */
    ELSIF One or More Amounts = One or More Values from Existing Record
    AND Special Deletion Criteria = TRUE then
    DELETE Record
    IF Error then
    Message “DELETE Error”, Details
    Goto Write Reject Table
    ENDIF
    ELSE
    /* Decrement Existing Record */
    Decrement One or More Values
    UPDATE SET, Details
    IF Error then
    Message “UPDATE Error SUBTRACT”, Details
    Goto Write Reject Table
    ENDIF
    ENDIF
    ELSE
    /* Invalid ADD or SUBTRACT Code */
    INSERT INTO Reject Report
    IF Error then
    Message “INSERT Reject AORS”, Details
    Goto Write Reject Table
    ENDIF
    ENDIF
    Goto EOJ
    <<Write Reject Report>>
    ADD to Reject Table
    IF Error then
    Message “INSERT Reject Table Error”, Details
    STOP
    ENDIF
    <<EOJ>>
    Null
    END

    Accordingly, the methodology of process model 4 defines:
      • (a) A current database (for additions, negations and corrections) and archive database (Read Only)
      • (b) ADD or SUBTRACT;
      • (c) Initial tests for values;
      • (d) Special deletion criteria;
      • (e) Tests for action;
        • INSERT or UPDATE;
        • DELETE or UPDATE;
        • INSERT INTO Reject Tables;
          Processing Model 1:
  • Processing model 1 is a method for processing changes to files (or tables) denoted as master or reference tables (files) wherein these tables retain fundamental information that is not derivable from other tables. In particular, processing model 1 processes changes to master tables in an automated manner without losing historical financial information. Accordingly, 100% auditability of all data changes is able to be achieved.
  • The method of achieving this goal uses an architecture denoted as “Master Transaction Cluster Processing” (MTCP). MTCP is based on the premise of creating a logical flow of all original information from data capture (data entry) to permanent data repository (data warehouse) by replacing single master files (or tables) with a cluster of files (or tables). Therefore, MTCP addresses the complete life cycle of all information relevant to organizational decision-making. MTCP is targeted for use in the automatic generation of program code for multiple large-scale real-time transaction processing applications (such as securities trading, telecommunications billing, and work management) on multi-processing computers (using 4, 8, 16, 32 processors), where control is not only an increasing complex issue but an absolute necessity for future competition.
  • The circumstances leading to the invention of Master Transaction Cluster Processing are:
      • a) Prior art financial transaction software architecture lacks the ability to identify transactions by table, transaction date, transaction number, and the person authorizing the transaction.
      • b) Prior art financial transaction systems typically use only one table to contain all Master Information (i.e., non-derivable information) and the data in this table is overwritten, thereby losing historical information. Cases in point would be a record of all of the past mailing addresses or processing instructions for a specific customer.
      • c) Without 100% retention of an organization's vital information, management has no idea of the accuracy of the information being used for decision-making purposes.
      • d) The Year 2000 problem, know as Y2K, is proving that past software applications designs have reached technological limits and current maintenance costs are inordinately expensive.
      • e) Competitive pressures are mounting for higher quality software with lower software development and maintenance costs. Totally new architectures for applications software is in great demand.
      • f) The ComputerWorld article, “Information: America's Favorite Investment,” by Paul Strassman, ComputerWorld Magazine, Aug. 5, 1996, states that over 1100 companies are spending more on automation annually than the net worths of their respective companies.
      • g) The Standish Report as described in Development Patterns, InfoWorld Magazine, Feb. 3, 1997, p. 56, states that the success rate of Business Process Reengineering has increased from 16% in 1994 to only 27% in 1996.
  • Note, in the book “Oracle Design”, Ensor & Stevenson, O'Reilly Press, it is a recommended practice to compromise data retention rather than achieve 100% auditability. Today's hardware costs suggest otherwise.
  • The advantages of the present invention over the approaches discussed above are:
      • to provide 100% auditability which offers business management the capability to exercise its fiduciary responsibility to its stockholders and Board of Directors,
      • to capture, maintain, and ensure the integrity of all vital information for business enterprise decision-making purposes, and
      • to preserve such information consistent with business enterprise-defined data retention cycles. Additionally, the present invention allows accountants to certify in business enterprise annual reports that all vital corporate data is being properly preserved.
  • A detailed description of Master Transaction Cluster Processing corresponding to model 1 (the first computational model of the present invention) is as follows.
  • MTCP Overview
  • Master Transaction Clustering, or MTCP, performs the following tasks:
      • a) assigns a unique identifier based on (i) master table identification, (ii) transaction date, (iii) transaction number, and (iv) authorized user, to each transaction that causes a change in the state of a particular record of a master table. That is, if one or more data elements in the record change, then the previous record is written to history, and a new status is assigned to an identifier field used for tracking such changes;
      • b) creates a logical flow of data as it is originally entered from its inception (data entry) to its repository (data warehouse). The unique architecture of MTCP replaces the Master File (or Table) within prior art systems with a cluster of Master Files (or Tables), known as a “Master Transaction Cluster”. This cluster is suitable for multiprocessing (or the use of simultaneous processors within a single computer to complete a common job). Hence, MTCP addresses 100% auditability via maintaining the total life cycle of information. Aged information may be deleted from the appropriate tables consistent with user-defined data retention policies;
      • c) offers a standard for processing all Master Tables within a total application;
      • d) provides a test bed for separately testing each Master Table Cluster under development and all Master Table Clusters in concert;
      • e) permits management to report that it is successfully capturing, maintaining, and preserving all critical information for decision-making purposes.
        MTCP Scope
  • Master Transaction Cluster Processing utilizes the following (FIG. 5):
      • a) two databases (i.e., the current data base 300 and the archive data base 304),
      • b) sequencing generator 308 having: (i) two external sequence generators; (ii) two internal counters,
      • c) eight tables (denoted master table 312, input table 316, summary table 320, reject table 324, accept table 328, history table 332, master archive table 336 and master history table 340), and
      • d) twelve additional fields for every row in the master table 312.
        MTCP Independence
  • Master Transaction Cluster Processing of Model 1 is independent of any:
      • a) application—such as accounts receivable, customer billing, etc.
      • b) industry—such as financial services, telecommunication, or work management,
      • c) hardware manufacturer—such as Compaq, Digital, HP, IBM, NCR, Unisys,
      • d) operating system—such as MS-DOS, UNIX, OpenVMS, MVS, etc.
      • e) network—such as Novell, Ethernet, etc.
      • f) relational database management system—such as Oracle, Sybase, Microsoft SQL Server, Informix, etc., and
      • g) computer language—such as SQL, COBOL, FORTRAN, PL/l, Java, etc.
        MTCP Architecture
  • The Master Transaction Cluster Processing (MTCP) architecture can be used for any application in any industry using any computer language. Within the typical structured processing scheme of input and process, the Master Transaction Cluster Processing focuses solely on the process function. Thus, the method permits users to define input screens and defined output reports.
  • MTCP Databases
  • Unlike prior art software system which contain only one table for each set of primary records, Master Transaction Cluster Processing uses eight related tables, or a cluster of tables, to track all information on a cradle to grave basis. The cradle being its point in inception (or data entry), and the grave being its permanent repository (or data warehouse). Consequently, the “Master Transaction Cluster” spans two different databases: one denoted the Current database 300 containing all relevant data for the current processing period and a second denoted the Archive database 304 containing all relevant data for all previous processing periods. The Current database 300 represents the area of high inquiry, and the Archive database 304 represents the area of low inquiry. Consequently, the Current database 300 is normally placed on high-speed internal disk drive and the Archive database 304 is normally placed on less expensive lower-speed CD-ROMs. Note that trailing information in the Archive database 304 may be destroyed consistent with defined data retention policies, statute of limitations, etc.
  • MTCP Tables
  • The six tables in the Current database 300 are the
      • a.) Master Table 312 (M) that will contain all records to be maintained.
      • b.) Input Table 316 (I) that will contain all records prior to updating.
      • c.) Reject Table 324 (R) that will contain all records rejected during processing.
      • d.) Accept Table 328 (A) that will contain all records accepted during processing.
      • e.) History Table 332 (H) that contain a complete snapshot of all records prior to updating.
      • f.) Summary Table 320 (S) that contains the results of a specific processing operation.
        and the two tables in the Archive database 304 are the:
      • g.) Master Archive Table 336 that contains snapshots of the master table 312 at the end of each processing period.
      • h.) Master History Table 340 that contains a history of the master table 312 changes during a current processing period.
  • Note that the Master Table (M), Input Table (I), Reject Table (R), the Accept Table (A), the History Table (H) in the same “Master Transaction Cluster” share the same number and order of data elements consisting of alphabetic, numeric, and date items. Alternatively, the Summary Table (S) contains the start time, end time, number of accepts, and number of rejects for each time a series of master table 312 modifications are provided.
  • MTCP Generator and Counters
  • The Generators 308 include two different external counters and two internal counters used in effecting 100% auditability. The two external counters are the Accept Sequence Number Generator and the Reject Sequence Number Generator. The two internal counters are the Total Records Read Counter and the Number of Modifications Counter. All are used only in the Current database 300, as the Archive database 304 is read-only in nature.
  • Regarding the external counters, the Accept Sequence Number Generator included in the Current database 300 automatically generates sequential numbers for the processing period (daily, weekly, monthly, etc.) starting with the number 1, and increments by 1, so that every transaction processed against the preceding (old) master table 312 will receive a specific transaction number, and accordingly, each transaction processed will be uniquely identifiable based on master table identity, transaction date, transaction number, and authorized user. Note that the transaction date is read off the internal system clock. The Reject Sequence Number Generator counts the number of rejects for the specific processing period. Its function is similar to the Accept Sequence Number Generator. Both the Accept Sequence Number Counter and the Reject Sequence Number Counter are “processing period” specific. That is, both are cleared to zero at, e.g., midnight on the end of the processing period so that each processing period may be separately identified and audited.
  • Regarding the internal counters, the Total Records Read Counter counts the number of transactions read during a specific processing performance. Since the Total Records Read Counter is “job execution” dependent, this counter is cleared to zero at the outset of every processing program execution. The Number of Modifications Counter counts the number of times a specific record has been changed. As this counter is “record” dependent, this counter is never cleared to zero, This specific counter should identify the number of individual records that may be retrieved, viewed, and verified from all of the tables in the specific Master Transaction Cluster to prove its auditability.
  • MTCP Archive Database 304
  • The Archive database 304 is read only. Within the Archive database 304, information contained in the Master Archive Table 336 represents a snapshot of information in the Master Table in the Current database 300 at a particular point in time such as the end of a month, quarter, or year. And, information in the History Archive Table 336 contains all of the transactions that have occurred from the beginning of the most recent processing period until the particular point in time, be it month, quarter, or year. For example, the Master Archive Table 336 contains the status of the Master Table 312 at the end of the first quarter, and the History Archive 340 contains all of the transaction modifications occurring since the end of the last quarter. In this fashion, any status of any Master Table 312 can be recreated for any point in time (say, month ends) by simply processing all transactions in the History Archive 340 for the desired period against the previous Master Archive Table 336, or the beginning of the period.
  • MTCP SQL Script Library Implications
  • To achieve 100% auditability of a complete system, every master file (or table in relational database management systems has a Master Transaction Cluster. Therefore, a total system containing 15 tables would require 15×8 or 120 tables to achieve full 100% auditability. Since each table will require at least 4 SQL scripts to (1) Create Table, (2) Select data from the table, (3) Delete data from the table, and (4) Drop the Table in the event of redefinition, the number of SQL scripts is 15×8×4, or 960 SQL Scripts. Then, each Master Transaction Cluster will require at least a Processing Program plus a Review, Reset, and Retest, or at least four more programs for each cluster, or 4×15, or 60, more SQL Scripts. All of the SQL scripts would be stored in one SQL Script Library on the computer for future reference and ease of maintenance.
  • MTCP Multi-Processing
  • The multi-processing of the Master Transaction Cluster occurs in the following manner:
      • For additions (or Insertions in SQL) of data
        • The Insertions to the Master Table 312 and Insertions to the Accept Table 328 may be processed simultaneously.
      • For changes (or Updates in SQL) of data
        • The Update of the Master Table 312 and the Insert to the Accept Table 328 may be processed simultaneously after the original record from the Master Table 312 has been copied to the History Table 332.
      • For deletes (or Deletes in SQL) of data
        • The Deletion from the Master Table 312 and the Insertion to the Accept Table 328 may be processed simultaneously after the current record in the Master Table 312 has been updated for the transaction identifier and then copied to the History Table 332.
          MTCP Creation
  • Before processing any Master Transaction Cluster, the necessary databases and files (or tables) must be created. For each business enterprise utilizing the present invention, these databases and files are created only once in the following manner:
    (Begin Program)
      Create ”Current“ database
      Create ”Archive“ database
      in the ”Current“ database
        Create Master Table
        Create Input Table
        Create Reject Table
        Create Accept Table
        Create Second Accept Table (on separate
        disk unit, if desired)
        Create History Table
        Create Summary Table
      Create Sequence Number for Accepts
      Create Sequence Number for Rejects
      in the ”Archive“ database
        Create Master Archive
        Create History Archive
    (End of Program)

    MTCP Processing
  • Processing of the “Master Transaction Cluster” then occurs in the following manner.
    • Step 1: All required information for processing a transaction is first captured on an Input Form.
    • Step 2: Once this information is edited by, e.g., an operator, an Enter Key can be pressed by an operator to write this information to the Input Table 316 for particular master transaction clusters.
    • Step 3: For each input table 316, a polling program notes that the Input Table is not empty and has a transaction action to be processed whereupon the action is processed by a process (denoted “process 1” in FIG. M1).
    • Step 4: The transaction processing program determines the type of file maintenance to perform; basically,
      • (1) add a record (entitled Insert a Row in SQL),
      • (2) change a record (entitled Update a Row in SQL), and
      • (3) delete a record (entitled Delete a Row in SQL),
        which in turn determines the multi-processing potential as described above in the MTCP Multi-processing.
  • The normal daily processing flow to achieve 100% auditability in either real-time or batch mode is as follows:
      (Begin Program)
      Read System Clock to Store Begin Time
      (Read Next Transaction)
      If Last Transaction
        Read System Clock to Store End Time
        Write End Time, Begin Time, Number of Accepts, Number of Rejects,
          and Total Records Read to Summary Table
        Goto End of Program
    Increment Total Records Read by 1
    (Add a New Record)
    If transaction is ”Add“ then
        If record exists then
          Process Addition Error
          Goto Write Reject Table
    ********************************************************
        * Select System Clock Date into Insert - Transaction Date *
        * Increment Sequence Number into Insert - Transaction Number *
        * Select User Name into Insert - Transaction User  *
        * Select Zero into Update - Transaction Number *
        * Select Zero into Delete - Transaction Number *
      *********************************************************
        Insert to Master Table
        Goto Write Accept Table
        (Change an Existing Record)
    If transaction is ”Change“ then
        If record does not exist then
          Process Change Error
          Goto Write Reject Table
      *********************************************************
      * (Master Snapshot) *
      * Move Master Table Record to History Table  *
      *********************************************************
      * Select System Clock Date into Update - Transaction Date *
      * Increment Sequence Number into Update - Transaction Number *
      * Select User Name into Update - Transaction User *
      * Select Zero into Delete - Transaction Number *
      * Increment Master Table Number of Modifications by 1     *
      *********************************************************
      Update Master Table with New Data
      Goto Write Accept Table
    (Delete an Existing Record)
      If transaction is ”Delete“ then
        If record does not exist then
          Process Drop Error
          Goto Write Reject Table
      *********************************************************
        * Select System Clock Date into Delete - Transaction Date  *
        * Increment Sequence Number into Delete - Transaction Number *
        * Select User Name into Delete - Transaction User  *
      *********************************************************
        * Update Master Table Record for Tran Date/Tran Num/User   *
      *********************************************************
        * (Master Snapshot)         *
        * Move Master Table Record to History Table       *
      *********************************************************
        Delete Master Table Record From Master Table
        (Write MULTI-PROCESSED Accept Table)
      ****************************************
        * Move ”Current“ into Archive - Status *
        * Move ”System Date“ into Archive - Date  *
      ****************************************
        Increment Accept Counter
        Insert to Accept Table
        Insert Second Accept Table (on a separate disk drive, if desired)
        Goto Loop to Next Transaction
      (Write Reject Table)
          Increment Reject Counter
          Insert to Reject Table
      (Loop to Next Transaction)
          Goto Read Next Transaction
      (End of Program)
          End
    • Step 5: At the end of the “proofing period”, such as daily or weekly, when proof tallies are matched to computer tallies, the Accept Table can be deleted as follows:
      • (Begin Program)
        • Delete All Records from the Accept Table
      • (End Program)
    • Step 6: Backup all databases and tables before any information is purged as follows:
      • (Begin Program)
        • Write All Tables in the “Current” database to backup
        • Write All Tables in the “Archive” database to backup
      • (End of Program)
  • Step 7: At the end of a user-defined period, an archive and purge process occurs that
    (Begin Program)
    *************************************************
    *  Move ”Archive“     to Archive Status
    *  Move ”System Date“  to Archive Date
    *************************************************
    Move All Records in the Master Table to Master
    Archive.
    Move All Records in the History Table to the
    History Archive.
    (End Program)
    • Step 8: In the event that current records are wrongfully moved to the History Archive,
      • they may be retrieved by
      • (Begin Program)
        • Move Specific Records from the Master Archive to the Master Table
        • Move Specific Records from the History Archive to the History Table
      • (End Program)
        This program should be executed only after Records have been moved from the Current database 300 to the Archive database 304. It should never be run after new transactions have been processed to the Current database 300.
        MTCP Backup/Recovery
  • If necessary, a recovery program can be utilized at any time in the event of hardware failure. Upon complete recovery, Step 7 and Step 8 will have to be re-executed to insure the correct status before the next day's processing is begun. The Accept Table can then be used to as a substitute Input Table to return the system to its previous processing point. Once this table is exhausted, data from the Input Table would supply the remaining data for the processing job.
  • MTCP Management
  • Once test data are defined and processed, a business enterprise may
      • (a) Review lists of the contents of all Master Tables 312 for determining correctness.
      • (b) Reset the contents of all Master Tables for performing the next test.
      • (c) Retest.
        MTCP Auditability
  • Once auditabilty is achieved, the business enterprise may query:
      • (a) When a Master Table Cluster was created.
      • (b) When each record was added (or inserted) to the Master Table 312,
      • (c) How many authorized changes (or updates) have been made to a record of the Master Table 312.
      • (d) Prove the integrity of the master transaction cluster by producing a sequential list of all record changes, and if the record was deleted, where the record is stored.
        Accordingly, 100% auditability of every change, every day, for every application is possible.
        Multiprocessing Defined
  • Unlike serial processing which processes all jobs in sequential fashion, multiprocessing processes some of the same jobs simultaneously, or in parallel. While multiprocessing is not new, major computer manufacturers such as Compaq, Digital, Hewlett-Packard, IBM, NCR, Unisys, etc. have announced offerings of low-cost multiprocessing machines based on 2, 4, 8, and sixteen processors. These machines will rapidly increase the demand for multiprocessing software, which is known as “multithreaded” software. Multithreaded software permits the simultaneous execution of more than one jobs or job sequences.
  • Multiprocessing takes two forms, Symmetrical Multiprocessing (SMP) and Massively Parallel Processing (MPP), the difference being that symmetrical multiprocessing machines collectively have only one bus between the processors and the peripheral storage. For example, a symmetrical multiprocessing machine may have eight processors, one bus, and sixteen disk drives. In contrast, massive parallel processing machines has one bus for each processor. For example, a massively parallel machine may have eight processor, eight busses, and sixteen disk drives. Therefore, symmetrical multiprocessing machines are best suited for applications with a high processing content and a low input/out content. In contrast, massively parallel processing machines are best suited for applications that can be parallelized and have a high input/output requirement, as is the case with many commercial systems.
  • In either event, multiprocessing machines are best utilized when carefully tuned to avoid bottlenecks. This is likely to mean that all of the layers constituting a computing environment are multiprocessing-enabled. That is, the hardware, operating system, relational database management system, and the specific application are capable of multiprocessing. Some multiprocessing mainframes have been available for several years as well as some versions of the UNIX operating system. Only a few multiprocessing relational databases exist and even fewer multiprocessing applications. It is believed by some that the success of multiprocessing is solely dependent upon the “knowledge of the application” rather than “knowledge of the underlying tools,” the tools being the hardware, operating system, and relational database system.
  • Accordingly, it is believed that the limiting factors for the success of multiprocessing for financial systems depends on:
      • (1) the lack of financial transaction application knowledge,
      • (2) a lack of understanding of how multiprocessing can be used to effect 100% auditability, and
      • (3) the lack of understanding as to how to decompose a financial transaction system into a series of small independent processes that may be performed simultaneously.
        MTPC Uniqueness
  • Approaching multiprocessing from the business enterprise perspective, there are several levels by which processing could be sub-divided. These are by:
      • (1) application, wherein certain applications are capable of being performed in parallel, such as e.g., Accounts Receivable, Accounts Payable, etc.
      • (2) function, wherein certain functions within an application are capable of being performed in parallel, such as, e.g., updating customer profiles, customer status, or performance.
      • (3) process, wherein certain large tasks are capable of being decomposed into smaller tasks that can be performed in parallel, such as, e.g., by splitting a large Accounts Receivable process, such as billing, into subcomponents.
      • (4) transaction, wherein transactions are decomposed into subtransactions that are capable of being performed in parallel.
  • The value of MTCP is that it addresses the last form of multiprocessing which is believed to be the most critical to delivering rapid response times for real-time financial transaction processing systems. That is, by dividing a transaction into subtransactions that can be spread across several multiprocessors, processing throughput may be faster. Plus, the large number of small programs make maintenance much easier and less expensive.
  • A first embodiment of the transaction processing controller 52 is provided in the flowchart of FIG. 6. Note that for simplicity, error handling and related validity checking steps have been omitted. However, the performance of such steps is within the scope of the present invention, as one skilled in the art will appreciate. A second pseudo-code embodiment of the transaction processing controller 52 follows.
    Pseudo-Code for the Command Processor
    (Transaction Processing Controller 52)
    BEGIN
      /* The following switches are global. They control both the activity of the system. */
      /* The Processor Switches monitors the availability of an eight processor computer.  */
      /* The Process Switches monitors all of the jobs that are to be executed. */
      /* These switches initialize the system, and then change throughout processing  */
      /* as the subcomponents of the system and the processors finish. */
      /* The Processor Switches are turned ON as jobs are sent to specific processors.  */
      /* The Processor Switches are turned OFF after the jobs are completed. */
      Set Processor 1 Switch = 0
      Set Processor 2 Switch = 0
      Set Processor 3 Switch = 0
      Set Processor 4 Switch = 0
      Set Processor 5 Switch = 0
      Set Processor 6 Switch = 0
      Set Processor 7 Switch = 0
      Set Processor 8 Switch = 0
      Read Begin Time from Systems Clock into Working Storage
      Set Total Records Read = 0
      Set Number Accepts = 0
      Set Number Rejects = 0
      /* The Command Programs reads the transaction input from the operator, then */
      /* edits the transaction for validity and loads the transaction processing algorithms */
      /* from the Transaction Processing table (or cache file) to a temporary table. It then */
      /* walks down all of algorithms in the temporary table to process the total transaction */
      /* with 100% auditability. Each algorithm may be passed to a separate processor.
      /* Read operator instructions for starting and ending item in input stream    */
      /* For the purposes of restart in the event of mid-stream job failure */
      /* For the purpose of omissions in processing. */
      /*  Operator may enter Begin .......................... End for all items */
      /*  Operator may enter Begin ..... End for a beginning list */
      /*  Operator may enter   Begin ..... End    for an intermediate list */
      /*  Operator may enter     Begin ..... End  for an ending list */
      Read Beginning Item in Input Stream from Master Control Terminal
      Read Ending Item  in Input Stream from Master Control Terminal
      Set Beginning Item to Next Transaction
      Set Ending Item   to End of List
      Read System Clock for Begin Time
      Add Record with Begin Time
      IF Error then
        Message “No System Table Record for Begin Time”, Details
      ENDIF
      <<Read Next Transaction>>
      /* The Process Switches are turned ON as each transaction subcomponent is completed.  */
      /* The Process Switches are turned OFF after the total transaction is completed.  */
      Set Process  1 Switch = 0
      Set Process  2 Switch = 0
      Set Process  3 Switch = 0
      Set Process  4 Switch = 0
      Set Process  5 Switch = 0
      Set Process  6 Switch = 0
      Set Process  7 Switch = 0
      Set Process  8 Switch = 0
      Set Process  9 Switch = 0
      Set Process 10 Switch = 0
      Set Process 11 Switch = 0
      Set Process 12 Switch = 0
      Set Process 13 Switch = 0
      Set Process 14 Switch = 0
      Set Process 15 Switch = 0
      Set Process 16 Switch = 0
      Set Process 17 Switch = 0
      Set Process 18 Switch = 0
      Set Process 19 Switch = 0
      Set Process 20 Switch = 0
      Set Process 21 Switch = 0
      Set Process 22 Switch = 0
      Set Process 23 Switch = 0
      Set Process 24 Switch = 0
      Read Next Transaction into Working Storage
      IF EOF then
        Read End Time from Systems Clock into Working Storage
        INSERT End-time, Begin Time
          Total Records Read, Number Accepts, Number Rejects
          into Summary Table
        IF Error then
          Message “INSERT ST Table”, Details
          STOP
        ENDIF
        Goto EOJ
      ENDIF
      IF Next Transaction = End of List
        Goto EOJ
      ENDIF
      Increment Total Records Read
      <<Test Transaction Type>>
      IF Transaction Type != ‘ ‘ then
      /* Set Switches for Trade Offset and Settle Offset Processing   */
        Set Process  1 Switch = 0
        Set Process  2 Switch = 1
        Set Process  3 Switch = 1
        Set Process  4 Switch = 1
        Set Process  5 Switch = 1
        Set Process  6 Switch = 0
        Set Process  7 Switch = 1
        Set Process  8 Switch = 1
        Set Process  9 Switch = 1
        Set Process 10 Switch = 1
        Set Process 11 Switch = 0
        Set Process 12 Switch = 1
        Set Process 13 Switch = 1
        Set Process 14 Switch = 1
        Set Process 15 Switch = 1
        Set Process 16 Switch = 1
        Set Process 17 Switch = 0
        Set Process 18 Switch = 0
        Set Process 19 Switch = 1
        Set Process 20 Switch = 1
        Set Process 21 Switch = 1
        Set Process 22 Switch = 1
        Set Process 23 Switch = 1
        Set Process 24 Switch = 0
      ENDIF
      <<Test OORR>>
      IF OORR = ‘O’ then
        *****************
        CALL N_gine EDIT
        *****************
        IF Edit Error
          Message “Edit Error”, Details
          Goto Write Reject Table
        ENDIF
        IF Tran-Type != ‘Sell’
        OR Tran-Type != ‘Withdraw’ then
          INSERT into Transaction Journal Table
          IF Error
            Message “Insert TJ Error”, Details
            Goto Write Reject Table
          ENDIF
          IF Correction Data then
            DELETE from Reject Table
            IF Error
              Message “Delete Reject Error”, Details
              Goto Write Reject Table
            ENDIF
          ENDIF
        ENDIF
        *********
        CALL TT       ie., execute the algorithms in the temporary table
        *********
        IF Temporary Table Error then
          Message “Temporary Table Error”, Details
          Goto Write Reject Table
        ENDIF
        Generate Sequence Number
      ELSIF OORR = ‘R’
        *****************
        CALL N_gine EDIT
        *****************
          IF Edit Error
          Message “Edit Error”, Details
        Goto Write Reject Table
        ENDIF
        Assign Transaction Number = ‘000000’
        AssignLOT Number = 1
        <<Read Next Reversal>>
        Read Transaction Journal Table for reversal number
        IF “No Transaction Exists” where LOT = 1 then
          Message “No Transaction Exists”, Details
          Goto Write Reject Table
        ENDIF
        IF “No Transaction Exists” and LOT > 1 then
          Goto Transaction Wrap-up
        ENDIF
        IF Previously Reversed
          Message “Previously Reversed”, Details
          Goto Write Reject Table
        ENDIF
        INSERT Reversing Transaction” to Transaction Journal Table
        IF Error
          Message “INSERT TJ Reversing Error”, Details
          Goto Write Reject Table
        ENDIF
        UPDATE “Reversed” Transaction
        IF Error
          Message “”UPDATE TJ Reversed Error”, Details
          Goto Write Reject Table
        ENDIF
        Increment the LOT Number
        *********
        CALL TT       i.e., execute the algorithms in the temporary table
        *********
        IF Temporary Table Error then
          Message “Temporary Table Error”, Details
          Goto Write Reject Table
        ENDIF
        Goto Read Next Reversal
        Generate Sequence Number
        UPDATE “Reversed” Transaction, ALL ROWS with Reversing Data
        IF Error then
          Message “UPDATE TL Table Reversed”, Details
          Goto Write Reject Report
        ENDIF
        UPDATE “Reversing” Transaction, ALL ROWS with Reversed Data
        IF Error then
          Message “UPDATE TL Table Reversing”, Details
          Goto Write Reject Report
        ENDIF
      ELSE
        INSERT into Reject Table “No Originate or Reverse Code”
        IF Error then
          Message “Insert Reject Table”, Details
          Goto Write Reject Table
        ENDIF
      ENDIF
      <<Transaction Wrap-up>>
      INSERT INTO Transaction Count Table
      Select Original-Count and Reversal Count from TC Table into Working Storage
      IF Error then
        INSERT INTO TC Table, Details
        IF Error then
          Goto Write Reject Table
        ENDIF
      ELSE
        IF  AORS = ‘O’ then
          Increment Original-Count
        ELSIF AORS = ‘R’
          Increment Reversal-Count
        ELSE
          Message “Invalid AORS Code”, Details
          STOP
        ENDIF
      ENDIF
      <<Test Trade Settlement>>
      IF  Transaction Switch = 2
        Goto Loop Next Transaction
      ENDIF
      IF  Transaction Switch = 1
      OR  AORS = ‘ ‘ then
        Goto Loop Next Transaction
      ENDIF
      /* COMMIT Work to Database    */
      COMMIT Original Transaction Before Offset Transaction
      IF  AORS = ‘A’ then
        Insert Licensee Trade Offset Buy in Transaction Identifier
      ELSIF AORS = ‘S’
        Insert Licensee Trade Offset Sell in Transaction Identifier
      ELSE
        Message “Invalid AORS”, Details
      ENDIF
      /* Swap Account Numbers for Automatic Transaction   */
      Move Account Number to Working Storage Account Number
      Move Buyer/Seller Number to Account Number
      Move Working Storage Account Number to Account Number
      Multiply the Net Amount by  −1
      Multiply the Amount Units by −1
      Add Number of Settlement Days from Entity Master to Trade Date to determine Settlement Date
      Add to Total Number of Accepts
      UPDATE Row in System Table for Number of Accepts
      IF Error then
        Message “Update Error for Accepts”, Details
        Goto Write Reject Record
      ENDIF
      Go to Test Transaction Type
      <<Loop Next Transaction>>
      /* COMMIT Work to Database     */
      COMMIT Original Transaction or Offset Transaction, if any
      Goto Read Next Transaction
    <<Write Reject Record>>
      Add to Total Number of Rejects
      UPDATE Row in System Table for Number of Rejects
      IF Error then
        Message “Update Error for Rejects”, Details
      ENDIF
      INSERT Into Reject Table, Details
      IF Error
        Message “Insert Command Reject Table”, Details
        STOP
      ENDIF
      Move Incoming Licensee Identifier to Stored Licensee Identifier
      Move Incoming Account Identifier to Stored Account Identifier
      Move Incoming Transaction Identifier to Stored Transaction Identifier
      Move Incoming Entity Identifier to Stored Entity Identifier
      Goto Read Next Transaction
      <<EOJ>>
      Read System Clock for End Time
      Add Record with End Time
      IF Error then
        Message “No System Table Record for End Time”, Details
      ENDIF
    END
  • A first embodiment of the transaction preprocessor and decomposer 54 is provided in the flowcharts of FIGS. 7-A through 7-D and FIGS. 8-A and 8-B. Note that for simplicity, error handling and related validity check steps have been omitted. However, the performance of such steps is within the scope of the present invention, as one skilled in the art will appreciate.
  • A second pseudo-code embodiment of the transaction preprocessor and decomposer 54 follows.
  • Process the Detail Records Maintenance Routine (AORS)
  • Note: Leave all switches=1 until the last routine is completed. This forces the processing to loop through each succeeding routine until completed. Then turn set all switches=0 so that the Scheduler will revert back to the Command Program to read another transaction.
    <<Originate ADD>>
    IF OORR = ‘O’ and
     AORS = ‘A’ then
       IF Process 1 Switch = 0 then
     Set Process 1 Switch = 1
     Initiate Process BS
       ELSIF Process 2 Switch = 0 then
     Set Process 2 Switch = 1
     Initiate Process PI/PA
       ELSIF Process 3 Switch = 0 then
     Set Process 3 Switch = 1
     Initiate Process TS
       ELSIF Process 4 Switch = 0 then
     Set Process 4 Switch = 1
     Initiate Process PM
       ELSE
     Set Process 1 Switch = 0
     Set Process 2 Switch = 0
     Set Process 3 Switch = 0
     Set Process 4 Switch = 0
       ENDIF
    <<Reverse ADD>>
    ELSIF OORR = ‘R’ and
      AORS = ‘A’ then
       IF  Process 5 Switch = 0 then
     Set Process 5 Switch = 1
     Initiate Process BS
       ELSIF  Process 6 Switch = 0 then
     Set Process 6 Switch = 1
     Initiate Process PI/PA
       ELSIF  Process 7 Switch = 0 then
     Set Process 7 Switch = 1
     Initiate Process TS
       ELSIF  Process 8 Switch = 0 then
     Set Process 8 Switch = 1
     Initiate Process PM
       ELSE
     Set Process 5 Switch = 0
     Set Process 6 Switch = 0
     Set Process 7 Switch = 0
     Set Process 8 Switch = 0
       ENDIF
    <<Originate SUB>>
    ELSIF OORR = ‘O’ and
      AORS = ‘S’ then
       IF  Process 9 Switch = 0 then
     Set Process 9 Switch = 1
     Initiate Process BS
       ELSIF  Process 10 Switch = 0 then
     Set Process 10 Switch = 1
     Initiate Process PI/PA
       ELSIF  Process 11 Switch = 0 then
     Set Process 11 Switch = 1
     Initiate Process TS
       ELSIF  Process 12 Switch = 0 then
     Set Process 12 Switch = 1
     Initiate Process CG
       ELSIF  Process 13 Switch = 0 then
     Set Process 13 Switch = 1
     Initiate Process PM
       ELSE
     Set Process 9 Switch = 0
     Set Process 10 Switch = 0
     Set Process 11 Switch = 0
     Set Process 12 Switch = 0
     Set Process 13 Switch = 0
       ENDIF
    <<Reverse SUB>>
    ELSIF OORR = ‘R’ and
      AORS = ‘S’ then
       IF  Process 14 Switch = 0 then
     Set Process 14 Switch = 1
     Initiate Process BS
       ELSIF  Process 15 Switch = 0 then
     Set Process 15 Switch = 1
     Initiate Process PI/PA
       ELSIF  Process 16 Switch = 0 then
     Set Process 16 Switch = 1
     Initiate Process TS
       ELSIF  Process 17 Switch = 0 then
     Set Process 17 Switch = 1
     Initiate Process CG
       ELSIF  Process 18 Switch = 0 then
     Set Process 18 Switch = 1
     Initiate Process PM
       ELSE
     Set Process 14 Switch = 0
     Set Process 15 Switch = 0
     Set Process 16 Switch = 0
     Set Process 17 Switch = 0
     Set Process 18 Switch = 0
       ENDIF
    ENDIF
  • A first embodiment of the processing for the subtransaction processing module 64 is provided in the flowcharts of FIGS. 9-A through 9-B, FIGS. 10, 11, 12, 13 and 14. Note that for simplicity, error handling and related validity checking steps have been omitted. However, the performance of such steps is within the scope of the present invention, as one skilled in the art will appreciate.
  • A second pseudo-code embodiment of the transaction processing controller 52 follows.
    Pseudo-Code for Processing for the Subtransaction Processing Module 64
    BEGIN
    DO WHILE List of Subtransactions in the TT Table is Valid
    Select Next Row of Operator, Operand 1, and Operand 2 from TT into Working Storage
    /* To choose the specific input field (or column) */
    IF Operand 1 = ‘N’
    Set Value = Net Amount from Input String
    ELSIF Operand 1 = ‘I’
    Set Value = Interest from Input String
    ELSIF Operand 1 = ‘P’
    Set Value = Principal from Input String
    ELSIF Operand 1 = ‘H’
    Set Value = Amount Units from Input String
    ELSIF Operand 1 = ‘U’
    Set Value = Amount Units from Input String
    ELSIF Operand 1 = ‘C’
    Set Value = Cost Basis from Input String
    ELSIF Operand 1 = ‘V’
    Set Value = Amount Units * Curr Price from Input String
    ELSIF Operand 1 = ‘F’
    Set Value = Federal Taxes       from Input String
    ELSIF Operand 1 = ‘S’
    Set Value = State Taxes from Input String
    ELSIF Operand 1 = ‘L’
    Set Value = Local Taxes from Input String
    ELSIF Operand 1 = ‘M’
    Set Value = Management Fees from Input String
    ELSE
    Message “Invalid Operand 1”, Details
    ENDIF
    /* To ADjust for Plus or Minus */
    IF Operator = ‘P’ then
    Set Multiplier = +1
    ELSIF Operator = ‘M’ then
    Set Multiplier = −1
    ENDIF
    /* To Adjust for Originate or Reversal */
    IF OORR = ‘O’ then
    Set Multiplier = Multiplier * +1
    ELSIF OORR = ‘R’
    Set Multiplier = Multiplier * −1
    ENDIF
    /* Test for Total Unit Changes */
    IF Operand 2 = ‘TU’ then
    Add Value to AM - Total Units
    Add Value to EA - Total Units
    /* Test for Income Cash Changes */
    IF Operand 2 = ‘IC’ then
    /* Add to First Controls - Account Master */
    Add Value to AM - Income Cash
    Add Value to AM - Units
    /* Add to Second Controls - Entity Attribute */
    Add Value to EA - Invested Income
    Add Value to EA - Units
    /* Add to Third Controls - General Ledger */
    IF Number of Entries = 1 then
     Add Value to GL - Income Cash
    ELSIF Number of Entries = 2 then
    IF Value > 0 then
     IF ICD >= 0 then
     Add Value to GL - Income Cash Demand
     ELSE ICD < 0
     Add (Value - ICO)  to GL - Income Cash Demand
     Set Zero to GL - Income Cash Overdraft
     ENDIF
    ELSIF Value <= 0 then
     IF ICD < 0 then
     Add Value to GL - Income Cash Overdraft
     ELSE ICD >= 0 then
     Add (Value - PCD) to GL - Principal Cash Overdraft
     Set Zero to GL - Principal Cash Demand
     ENDIF
    ELSE
    Message “Invalid Value”, Details
    ENDIF
    - Add Value to Uninvested Principal
    ELSE
    Message “Invalid Number Entries”, Details
    ENDIF
    /* Test for Principal Cash Changes */
    ELSIF Operand 2 = ‘PC’ then
    /* Add to First Controls - Account Master */
    Add Value to AM - Principal Cash
    Add Value to AM - Units
    /* Add to Second Controls - Entity Attribute */
    Add Value to EA - Invested Principal
    Add Value to EA - Units
    /* Add to Third Controls - General Ledger */
    IF Number of Entries = 1 then
    Add Value to GL - Principal Cash
    ELSIF Number of Entries = 2 then
    IF Value > 0 then
     IF PCD >= 0 then
     Add Value  to GL - Principal Cash Demand
     ELSE PCD < 0
     Add Value  to GL - Principal Cash Demand
     Set Zero to GL - Principal Cash Overdraft
     ENDIF
    ELSIF Value <= 0 then
     IF PCD < 0 then
     Add Value  to GL - Principal Cash Overdraft
     ELSE PCD >= 0 then
     Add (Value - PCD)  to GL - Principal Cash Overdraft
     Set Zero to GL - Principal Cash Demand
     ENDIF
    ELSE
    Message “Invalid Value”, Details
    ENDIF
    ELSE
    Message “Invalid Number Entries”, Details
    ENDIF
    Add Value to Uninvested Principal
    /* Test for Invested Income Changes */
    ELSIF Operand 2 = ‘II’ then
    /* Add to First Controls - Account Master */
    Add Value to AM - Invested Income
    /* Add to Second Controls - Entity Attribute */
    Add Value to EA - Invested Income
    /* Add to Third Controls - General Ledger */
    /* Update Assets */
    Add Value to ACN- Assets
    /* Update Liabilities */
    IF ACN-Liab = ‘ ‘ then
    Add Value to Invested Income
    ELSE
    Add Value to ACN_Liabilities
    ENDIF
    /* Test for Invested Principal Changes */
    ELSE Operand 2 = ‘IP’ then
    /* Add to First Controls - Account Master */
    Add Value to AM - Principal Cash
    /* Add to Second Controls - Entity Attribute */
    Add Value to EA - Invested Principal
    /* Add to Third Controls - General Ledger */
    /* Update Assets */
    Add Value to ACN - Assets
    /* Update Liabilities */
    IF ACN_Liab = ‘ ‘ then
    Add Value to Invested Principal
    ELSE
    Add Value to ACN_Liabilities
    ENDIF
    /* Test for Other Customized Reporting Changes */
    ELSIF Operand 2 = ‘I’ and Report Request = ‘Y’
    OR Operand 2 = ‘E’ and Report Request = ‘Y’ then
    (IEE) Process IE
    (PME) Process PM
    ELSIF Operand 2 = ‘R’ and Report Request = ‘Y’
    OR Operand 2 = ‘D’ and Report Request = ‘Y’ then
    (IEC) Process RD
    (PMC) Process PM
    /* Test for other Performance Measurement Data */
    ELSIF Operand 2 = ‘PM’ and Report Request = ‘Y’ then
    (PMP) Process PM
    ELSIF Operand 2 = ‘CN’
    OR Operand 2 = ‘DN’ then
    (CDC) Process PM
    ELSIF Operand 2 = ‘MF’ then
    (PMM) Process PM
    ELSIF Operand 2 = ‘CM’ then
    (PCM) Process PM
    ELSIF Operand 2 = ‘FT’ then
    (PMF) Process PM
    ELSIF Operand 2 = ‘ST’ then
    (PMS) Process PM
    ELSE
    Message “Invalid Operand 2”, Details
    ENDIF
    /* Test for Detail Record Maintenance of Financial Instruments */
    IF AORS != ‘ ‘ then
    ***********
    CALL PORTFOLIO ADJUSTER 110
    ***********
    ENDIF
    ENDDO
    END
  • Pseudo-Code for Performance Measurement (PM)
    Processing related to the Licensee
    Performance Measurement Table 104
    BEGIN
     IF  Trxn = ‘A’ and Type = ‘O’ OR Trxn = ‘S’ and
     Type = ‘R’ (which means ADD)
      SELECT Data into Working Storage from PM Record
      IF Error then
       INSERT INTO PM Record, Details
       IF Error then
        Message “INSERT PM Error”, Details
        Goto Write Reject Report
       ENDIF
      ELSE
       Increment Units by amount to be increased
       UPDATE Data to Table / Row
       IF Error
        Message “UPDATE PM Error 1”, Details
        Goto Write Report Error
       ENDIF
      ENDIF
     ELSIF Trxn = ‘A’ and Type = ‘R’ OR Trxn = ‘S’ and Type = ‘O’
     (which means SUBTRACT)
      SELECT Data into Working Storage from PM Record
      IF Error then
       Message “ SELECT PM Error 2”, Details
       Goto Write Report Error
      ENDIF
      IF Units = ‘ALL”
      and All Other Balances in the Row are Zero then
       DELETE from Table / Row
       IF Error
        Message “DELETE PM Error”, Details
        Goto Write Report Error
       ENDIF
      ELSE
       Decrement Units by Amount to be reduced
       UPDATE PI SET Details
       IF Error then
        Message “UPDATE PM Error 2”, Details
        Goto Write Report Writer
       ENDIF
      ENDIF
     ELSE
      Null
     ENDIF
     Goto EOJ
     <<Write Reject Report>>
     INSERT into Reject Table, Details
      IF Error
       STOP
      ENDIF
     <<EOJ>>
     Null
    END
  • Pseudo-Code for Income/Expense Processing (IE)
    Processing related to the Customer Income Statement
    (Income/Expense) Table 96
    BEGIN
     IF Trxn = ‘Debit’ and Type = ‘O’ (which means ADD)
     OR Trxn = ‘Credit’ and Type = ‘O’ then
      SELECT Data into Working Storage from IE Record
      IF Error then
       INSERT INTO IE Table, Details
       IF Error then
        Message “INSERT IE Error 1”, Details
        Goto Write Report Error
       ENDIF
      ELSE
       Increment Units by amount to be increased
       UPDATE Data to Table/Row
       IF Error then
        Message “UPDATE IE Error 1”, Details
        Goto Write Report Error
       ENDIF
      ENDIF
     ELSIF Trxn = ‘Debit’ and Type = ‘R’ (which means SUBTRACT)
     OR  Trxn = ‘Credit’ and Type = ‘R’ then
      SELECT Data into Working Storage from IE Record
      IF Error then
       Message “ SELECT IE Error 2”, Details
       Goto Write Report Error
      ENDIF
      IF Units =‘ALL” then
       DELETE from Table/Row
       IF Error then
        Message “DELETE IE Error”, Details
        Goto Write Report Error
       ENDIF
      ELSE
       Decrement Units by Amount to be reduced
       UPDATE IE SET Details
       IF Error then
        Message “UPDATE IE Error 2”, Details
        Goto Write Report Writer
       ENDIF
      ENDIF
     ELSE
      Null
     ENDIF
     Goto EOJ
     <<Write Reject Report>>
     INSERT into Reject Table, Details
      IF Error then
       STOP
      ENDIF
     <<EOJ>>
     Null
    END
  • Pseudo-Code for AORS Processing
    (Portfolio Adjuster 110 Processing)
    BEGIN
      /* The End AORS Switch is a global switch that signals the end of all AORS processing */
      /* otherwise known as the Detail Record (or Row) Maintenance Processing. */
      /* The switch is originally set = 0. Each called routine ends by setting the switch = 1. */
      Set End AORL Switch = 0
      DO WHILE End AORS Switch = 0
        IF Trxn = “ADD” then
          IF Type = ‘O’ then
            ************
            CALL Original Add Module 114 (Originate Add)
            ************
            IF Error
              Message “No OADD Routine”
              Goto Write Reject Report
            ENDIF
          ELSIF Type = ‘R’ then
            ***********
            CALL Reverse Add Module 118 (Reverse Add)
            ***********
            IF Error
              Message “NO RADD Routine”
              Goto Write Reject Routine
            ENDIF
          ELSE
            Message “Invalid O OR R Code for ADD”, Details
            Goto Write Reject Report
          ENDIF
        ELSIF Trxn = ‘SUBTRACT’ then
          IF Type = ‘O’ then
            ***********
            CALL Original Sell Module 122 (Originate Subtract)
            ***********
            IF Error then
              Message “No OSUB Routine”, Details
              Goto Write Reject Report
            ENDIF
          ELSIF Type = ‘R’ then
            ***********
            CALL Reverse Sell Module 126 (Reverse Subtract)
            ***********
            IF Error then
              Message “No RSUB Routine, Details
              Goto Write Reject Report
            ENDIF
          ELSE
            Message “Invalid O OR R for SUBTRACT”, Details
            Goto Write Reject Report
          ENDIF
        ELSE
          Message “Invalid Transaction”, Details
          Goto Write Reject Report
        ENDIF
        Goto EOJ
        <<Write Reject Report>>
        INSERT into Reject Table
          IF Error then
            STOP
          ENDIF
        Set End AORL Switch = 1
        <<EOJ>>
        Null
      ENDDO
    END
  • A first embodiment of the processing for the balance sheet table 130 is provided in the flowchart of Fig. BAL-SHT. Note that for simplicity, error handling and related validity checking steps have been omitted. However, the performance of such steps is within the scope of the present invention, as one skilled in the art will appreciate.
  • A second pseudo-code embodiment of the processing for the balance sheet table 130 follows.
    N_gine File (or Table) Structure and
    Likely Order of Creation
    corresponding with FIGS. 4-A through 4-E
    Institutional Profile Data Source
    LM Licensee Master User-Definable
    LU Licensee Users User-Definable
    LT Licensee Account Type User-Definable
    LD Licensee Default Definitions User-Definable
    LL Licensee General Ledger Definitions User-Definable
    LS Licensee Diversification Scheme User-Definable
    LP Licensee Performance Group User-Definable
    LN Licensee Summary Names User-Definable
    LW Licensee Service Wholesalers User-Definable
    LR Licensee Service Resellers User-Definable
    Customer Profile
    AO Account Objective User-Definable
    AL Account Legal Capacity User-Definable
    AJ Account Jurisdiction User-Definable
    AR Account Representatives User-Definable
    AN Account Registration Names User-Definable
    AM* Account Master User-Definable
    AC Account Communication Links User-Definable
    Transaction Profile
    TM** Transaction Master User-Definable “Driving” File
    TP** Transaction Processor User-Definable “Driving” File
    TR Transactions - Recurring User-Definable “Driving” File
    Entity Profile
    EM Entity Master Public Market Data
    EA* Entity Attribute User-Definable
    ET Entity Transaction User-Definable
    Licensee Status
    SG* System General Ledger User-Definable
    SJ* System Transaction Journal System Defined “Driven” File
    ST System Trade Settlement System Defined “Driven” File
    SS System Summary Table System Defined
    SR System Reject Table System Defined
    SC System Transaction Count System Defined
    Customer Status
    CS Customer Income Statement (Income/Expense) System Defined “Driven” File
    CF Customer Cash Flow (Receipts/Disbursements) System Defined “Driven” File
    CB* Customer Balance Sheet System Defined “Driven” File
    CG Customer Capital Gain System Defined “Driven” File
    CI Customer Pending Income System Defined “Driven” File
    CA Customer Pending Capital Adjustments System Defined “Driven” File
    CP* Customer Performance Measurement System Defined “Driven” File
    Notes: * denotes Primary Control Tables
    ** denotes “Driving Tables”
    TABLE DATA DESCRIPTIONS WITH EXAMPLES
    (LM) Licensee Master
      Primary Data consisting of
        Licensee Identifier
        Licensee Description
      Trade Settlement Data consisting of
        Licensee Trade Settlement Switch
        Trade Offset Buy Identifier
        Trade Offset Sell Identifier
        Settle Offset Buy Identifier
        Settle Offset Sell Identifier
        +
      Other Details
        +
      Audit Fields consisting of Processing Model 1
        Add Date
        Add Sequence Number
        Add User Identifier
        Change Date
        Change Sequence Number
        Change User Identifier
        Delete Date
        Delete Sequence Number
        Delete User Identifier
        Number of Modifications
        Archive Status
        Archive Date
    Example:
    Licensee Licensee Other Licensee Licensee
    Identifier Description Address City/State/ZIP
    LICN1 First Licensee Name Main Street Denver, CO
    LICN2 Second Licensee Name Broadway New York, NY
    LICN3 Third Licensee Name Michigan Ave. Chicago, IL
    (LU) Licensee Users
      Primary Date consisting of
        Licensee Identifier
        User Identifier
        User Description
        +
      Other Details
        +
      Audit Fields consisting of Processing Model 1
        Add Date
        Add Sequence Number
        Add User Identifier
        Change Date
        Change Sequence Number
        Change User Identifier
        Delete Date
        Delete Sequence Number
        Delete User Identifier
        Number of Modifications
        Archive Status
        Archive Date
    Example:
    Licensee User User Other User User
    Identifier Identifier Description Address City/State/ZIP
    LICN1 FUN First User Name Lincoln Ave Denver, CO
    LICN2 SUN Second User Name Park Ave New York, NY
    LICN3 TUN Third User Name Montgomery San Francisco, CA
    (LT) Licensee Account Type
      Primary Data consisting of
        Licensee Identifier
        Account Type Identifier
        Account Type Description
        +
      Other Details
        +
      Audit Fields consisting of Processing Model 1
        Add Date
        Add Sequence Number
        Add User Identifier
        Change Date
        Change Sequence Number
        Change User Identifier
        Delete Date
        Delete Sequence Number
        Delete User Identifier
        Number of Modifications
        Archive Status
        Archive Date
    Example:
    Licensee Account Account
    Identifier Type Number Type Name
    LICN1 100 Pension Trust
    LICN1 200 Investment Advisory
    LICN1 300 Estates
    LICN1 400 Settlements - Buy
    LICN1 500 Settlements - Sell
    LICN2 1000 Wireless Communications
    LICN2 2000 Landline Communications
    LICN2 3000 Satellite Broadcast
    LICN3 9000 Domestic Subsidiary
    LICN3 10000 Foreign Subsidiary
    (LD) Licensee Default Definitions
      Primary Data consisting of
        Licensee Identifier
        Default Class
        Demand or Overdraft
        Accounting Control Number
        Accounting Control Number Description
        Cash Record Pointer in EA Table
        +
      Other Details
        +
      Audit Fields consisting of Processing Model 1
        Add Date
        Add Sequence Number
        Add User Identifier
        Change Date
        Change Sequence Number
        Change User Identifier
        Delete Date
        Delete Sequence Number
        Delete User Identifier
        Number of Modifications
        Archive Status
        Archive Date
    Example:
    Licensee Class Sub-Class Accounting Accounting
    Identifier Iden Iden Control Number Control Name
    LICN1 IC D A01 Income Cash Demand
    LICN1 IC O A02 Income Cash Overdraft
    LICN1 IC D A03 Principal Cash Demand
    LICN1 IC O A04 Principal Cash Overdraft
    LICN1 UI L05 Uninvested Income
    LICN1 UP L10 Uninvested Principal
    LICN1 II L15 Invested Income
    LICN1 IP L20 Invested Principal
    (LL) Licensee General Ledger Definition
      Primary Data consisting of
        Licensee Identifier
        Asset or Liability
        Account Type Identifier
        Account Type Description
        +
      Other Details
        +
      Audit Fields consisting of Processing Model 1
        Add Date
        Add Sequence Number
        Add User Identifier
        Change Date
        Change Sequence Number
        Change User Identifier
        Delete Date
        Delete Sequence Number
        Delete User Identifier
        Number of Modifications
        Archive Status
        Archive Date
      (See Details Provided)
    (LS) Licensee Diversification Scheme
      Primary Data consisting of
        Licensee Identifier
        Diversification Type Identifier
        Diversification Group Identifier
        Diversification Class Identifier
        Diversification Description
        +
      Other Details
        +
      Audit Fields consisting of Processing Model 1
        Add Date
        Add Sequence Number
        Add User Identifier
        Change Date
        Change Sequence Number
        Change User Identifier
        Delete Date
        Delete Sequence Number
        Delete User Identifier
        Number of Modifications
        Archive Status
        Archive Date
    Example:
    Licensee Diversification Diversification Diversification Diversification
    Identifier Type Group Class Name
    LICN1 100 000 000 Money Market Instruments
    LICN1 100 100 000 US Govt Bills
    LICN1 100 200 000 US Govt Notes
    LICN1 100 300 000 Par Notes
    LICN1 100 400 000 Discount Notes
    LICN1 200 000 000 Fixed Income Securities
    LICN1 200 100 000 US Govt Bonds
    LICN1 200 200 000 Municipal Bonds
    LICN1 200 300 000 Corporate Bonds
    LICN1 200 400 000 Bond Funds
    LICN1 300 000 000 Equities
    LICN1 300 100 000 Preferred Stock
    LICN1 300 200 000 Convertible Preferred
    LICN1 300 300 000 Common Stock
    LICN1 300 300 100 Automotive
    LICN1 300 300 200 Building
    LICN1 300 300 300 Chemical
    LICN1 300 300 400 Drug
    LICN1 300 400 000 Oil Partnerships
    LICN1 300 500 000 Real Estate Partnerships
    LICN2 100 000 000 Communication Services
    LICN2 100 100 000 Wireless Communication
    LICN2 100 200 000 Landline Communication
    LICN2 100 300 000 Direct Satellite
    LICN3 100 100 000 Cash
    LICN3 100 200 000 Other Current Assets
    LICN3 100 300 000 Fixed Assets
    LICN3 100 400 000 Depreciation
    LICN3 100 500 000 Other Tangible Assets
    LICN3 100 600 000 Other Intangible Assets
    LICN3 100 700 000 Current Liabilities
    LICN3 100 800 000 Deferred Taxes
    LICN3 100 900 000 Long-Term Debt
    LICN3 100 1000 000 Net Worth
    (LP) Licensee Performance Group
    Primary Data consisting of
    Licensee Identifier
    Performance Type Identifier
    Performance Group Identifier
    Performance Class Identifier
    Performance Description
    +
    Other Details
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifier
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    Example:
    Licensee Perf Meas Perf Meas Perf Meas Perf Meas
    Identifier Type Group Class Name
    LICN1 100 000 000 Money Market
    LICN1 100 100 000 US Notes
    LICN1 100 100 9710 Maturing October 1997
    LICN1 100 100 9711 Maturing November 1997
    LICN1 100 200 000 Par Notes
    LICN1 100 200 9711 Maturing November 1997
    LICN1 100 200 9712 Maturing December 1997
    LICN1 200 000 000 Municipal Bonds
    LICN1 200 AAA 000 Rated AAA
    LICN1 200 AAA 9803 Maturing March 1998
    LICN1 200 AAA 9806 Maturing June 1998
    LICN1 300 000 000 Common Stock
    LICN1 300 100 000 Durables
    LICN1 300 100 100 Autos
    LICN1 300 100 200 Appl
    LICN1 300 200 000 Consumer Goods
    LICN1 300 200 100 Food
    LICN1 300 200 200 Beverage
    (LN) Licensee Summary Names
    Primary Data consisting of
    Licensee Identifier
    Summary Type Identifier
    Summary Number
    Summary Description
    +
    Other Details
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifier
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    Example:
    Licensee Type Group Class Summary Item
    Identifier Code Code Code Name
    LICN1 I 0001 Dividends - Ordinary
    LICN1 I 0002 Dividends - Partially Tax-Exempt
    LICN1 I 0003 Dividends - Tax-Free
    LICN1 E 0001 Management Fees
    LICN1 E 0004 Legal Expenses
    LICN1 R 0001 I Dividends
    LICN1 R 0002 I Interest - Net
    LICN1 R 0007 P Principal Contributions
    LICN1 R 0008 P Principal Sale Proceeds
    LICN1 D 0001 I Management Fees
    LICN1 D 0009 P Principal Disbursements
    (LW) Licensee Service Wholesalers
    Primary Data consisting of
    Licensee Identifier
    Wholesaler Identifier
    Wholesaler Address
    Number of Calls
    Value of Call
    +
    Other Details
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifier
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    Example:
    Licensee Wholesaler Wholesaler Wholesaler City/State/ZIP
    Identifier Identifier Name Address Codes
    LICN1 ABCD AB Cellular Dealer 100 Main Street Denver, CO
    LICN1 RSTU RS Telephone Utility 230 Broadway NY, NY
    (LR) Licensee Resellers
    Licensee Identifier
    Wholesaler Identifier
    Reseller Identifier
    Reseller Address
    +
    Other Details
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifier
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    Example:
    Licensee Wholesaler Reseller Reseller Reseller City/State/ZIP
    Identifier Identifier Identifier Name Address Codes
    LICN1 ABCD 123 123 Reseller 200 Oak Tulsa, OK
    LICN1 ABCD 234 234 Reseller 500 Elm Okla City, OK
    LICN1 RSTU 678 678 Reseller 300 Pine Fresno, CA
    LICN1 STUV 789 789 Reseller 700 Cedar Pittsburgh, PA
    (AO) Account Objective
    Primary Data consisting of
    Licensee Identifier
    Objective Identifier
    Objective Description
    +
    Other Details
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifier
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    Example:
    Licensee Objective Objective
    Identifier Identifier Name
    LICN1 0100 Growth
    LICN1 0200 Income
    LICN1 0300 Growth with Income
    LICN1 0400 Capital Preservation
    LICN1 0500 High-Risk
    (AL) Account Legal Capacity
    Primary Data consisting of
    Licensee Identifier
    Legal Capacity Identifier
    Legal Capacity Description
    +
    Other Details
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifier
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    Example:
    Licensee Legal Capacity Legal Capacity
    Identifier Number Name
    LICN1 010 Trustee
    LICN1 020 Broker
    LICN1 030 Advisor
    LICN1 040 Agent
    LICN1 050 Escrow
    LICN1 060 Executor
    LICN1 070 Administrator
    (AJ) Account Jurisdiction
    Primary Data consisting of
    Licensee Identifier
    Jurisdiction Identifier
    Jurisdiction Description
    +
    Other Details
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifier
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    Example:
    Licensee Jurisdiction Jurisdiction
    Identifier Identifier Name
    LICN1 CA California
    LICN1 PA Pennsylvania
    LICN1 VI Virgin Islands
    LICN1 NA Netherlands Antilles
    (AR) Account Representative
    Primary Data consisting of
    Licensee Identifier
    Account Representative Identifier
    Account Representative Name
    +
    Other Details
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifier
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    Example:
    Licensee Representative Representative
    Identifier Identifier Name
    LICN1 RR Rhonda Red
    LICN1 WW Wanda White
    LICN1 BB Bill Brown
    LICN GG Glenn Green
    (AN) Account Registration Name
    Primary Data consisting of
    Licensee Identifier
    Registration Identifier
    Registration Description
    +
    Other Details
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifier
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    Example:
    Licensee Registration Registration
    Identifier Identifier Name
    LICN1 AA Able & Company
    LICN1 BB Baker & Company
    LICN1 CC Charlie & Company
    (AM) Account Master
    Primary Data consisting of
    Licensee Identifier
    Account Identifier
    Account Description
    Account Address
    Account Fiscal Year - MM
    Account Fiscal Year - DD
    Account Fiscal Year - Number of Periods
    Income Posting Code
    Account Type
    Account Objective
    Account Legal Capacity
    Account Jurisdiction
    Account Representative
    Account Registration Name
    Income/Expense Switch
    Receipts/Disbursement Switch
    Performance Measurement Switch
    Licensee Wholesaler
    Licensee Reseller
    Account Settlement Switch
    +
    Other Details
    +
    System Control Data consisting of
    Income Cash
    Principal Cash
    Invested Income
    Invested Principal
    Total Units - Assets
    Liabilities
    Total Units - Liabilities
    +
    Capital Gain Control Fields consisting of
    Total Units
    Total Cost Basis
    System Control Fields consisting of
    Total Income
    Total Expense
    Total Receipts
    Total Disbursements
    +
    Pending Income consisting of
    Total Units
    Total Cost Basis
    Total Pending Income
    +
    Pending Cap Adj Out consisting of
    Cap Adj Out - Units
    Cap Adj Out - Cost Basis
    Cap Adj In - Units
    Cap Adj In - Cost Basis
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifier
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    (AC) Account Communication Links
    Primary Data consisting of
    Account Identifier
    Communications Number
    +
    Other Details
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifier
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    Example:
    Licensee Account Communications
    Identifier Identifier Identifier
    LICN1 123456 ATT-001
    LICN1 123456 TCI-345
    LICN1 234567 US-West
    LICN1 234567 ATT-002
    LICN1 234567 MCI
    LICN1 456789 Sprint
    (TM) Transaction Master
    Primary Data consisting of
    Licensee Identifier
    Transaction Identifier
    Income Posting Code
    Transaction Description
    Add or Subtract Switch
    Settlement Transaction Identifier
    Terminate Settlement Switch
    +
    Other Details
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifier
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    Example:
    Licensee Transaction Income Transaction
    Identifier Identifier Posting Code Name
    LICN1 D01 I Paid Management Fee
    LICN1 D01 I Paid Management Fee
    LICN1 D01 I Paid Management Fee
    LICN1 SE I Sell Equity
    LICN1 SE P Sell Equity
    LICN1 SE B Sell Equity
    LICN2 D01 P Cellular Charge
    LICN2 D02 P Landline Charge
    LICN2 D03 P Direct Satellite Charge
    LICN2 D04 P America On-Line Charge
    (TP) Transaction Processor
    Primary Data consisting of
    Licensee Identifier
    Transaction Identifier
    Transaction Income Posting Code
    Transaction Process Description
    +
    Other Details
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifler
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    Example:
    Licensee
    Identifier Transaction Income
    Suffix Identifier Posting Code Operator Operand 1 Operand 2
    (TR) Transactions - Recurring
    Primary Data consisting of
    Licensee Identifier
    Account Identifier
    Transaction Identifier
    Transaction Amount
    Begin Paying
    End Paying
    User Identifier
    +
    Other Details
    +
    Audit Fields consisting of Processing Model 1
    Add Date
    Add Sequence Number
    Add User Identifier
    Change Date
    Change Sequence Number
    Change User Identifier
    Delete Date
    Delete Sequence Number
    Delete User Identifier
    Number of Modifications
    Archive Status
    Archive Date
    Example:
    Licensee Account Transaction Transaction Begin End User
    Identifier Identifier Identifier Amount Date Date Identifier
    (EM) Entity Master
      Primary Data consisting of
        Entity Identifier
        Entity Description
        Asset or Liability Code
        Settlement Days
        +
      Income Collection Data consisting of
        Income Rate
        Income Ex-Date
        Income Record Date
        Income Payment Date
        +
      Capital Adjustment Data consisting of
        Capital Adjustment Rate
        Capital Adjustment Ex-Date
        Capital Adjustment Record Date
        Capital Adjustment Payment Date
        Capital Adjustment New Entity
        +
      Other Details
        +
      Audit Fields consisting of Processing Model 1
        Add Date
        Add Sequence Number
        Add User Identifier
        Change Date
        Change Sequence Number
        Change User Identifier
        Delete Date
        Delete Sequence Number
        Delete User Identifier
        Number of Modifications
        Archive Status
        Archive Date
    (EA) Entity Attribute
      Primary Data consisting of
        Licensee Identifier
        Entity Identifier
        +
      Management Decision-Making Data consisting of
        Diversification Type
        Diversification Group
        Diversification Class
        +
      Performance Measurement Data consisting of
        Performance Type
        Performance Group
        Performance Class
        +
      Accounting Data consisting of
        Accounting Control Number - Asset
        Accounting Control Number - Liability
        +
      System Control Data consisting of
        Invested Income
        Invested Principal
        Total Units - Assets
        Liabilities
        Total Units - Liabilities
        +
      Settlement Data consisting of
        Buy - In Units
        Buy - Out Cost Basis
        Sell - In Proceeds
        Sell - Out Units
        +
      Other Details
        +
      Audit Fields consisting of Processing Model 1
        Add Date
        Add Sequence Number
        Add User Identifier
        Change Date
        Change Sequence Number
        Change User Identifier
        Delete Date
        Delete Sequence Number
        Delete User Identifier
        Number of Modifications
        Archive Status
        Archive Date
    (ET) Entity Transaction
      Primary Data consisting of
        Licensee Identifier
        Entity Identifier
        Transaction Identifier
        +
      Other Details
        +
      Audit Fields consisting of Processing Model 1
        Add Date
        Add Sequence Number
        Add User Identifier
        Change Date
        Change Sequence Number
        Change User Identifier
        Delete Date
        Delete Sequence Number
        Delete User Identifier
        Number of Modifications
        Archive Status
        Archive Date
    Example:
    Licensee Entity Transaction
    Identifier Identifier Identifier
    LICN1 GM BE
    LICN1 GM XO
    LICN1 GM XI
    (SG) System General Ledger
      Primary Data consisting of
        Licensee Identifier
        +
      Control Fields consisting of
        Asset or Liability
        Account Type Identifier
        Accounting Control Number
        Account Balance
        +
      Other Details
        +
      Audit Fields consisting of Processing Model 1
        Add Date
        Add Sequence Number
        Add User Identifier
        Change Date
        Change Sequence Number
        Change User Identifier
        Delete Date
        Delete Sequence Number
        Delete User Identifier
        Number of Modifications
        Archive Status
        Archive Date
    Example:
    (See Details provided)
    (SJ) System Transaction Journal
      Primary Data consisting of
        Licensee Identifier
        Account Identifier
        Transaction Identifier and either
          Buys/Sells or Debits/Credits
          Entity Identifier Entity Identifier (if any)
          Purchase Date Principal
          Amount Units Income
          Net Amount Net Amount
          Cost Basis (if Sell)
        +
      Other Details
        +
      Currency Fields consisting of
        Currency Rate
        Currency From
        Currency To
        Currency Date
        +
      Sell Data consisting of
        Sell Date
        Sell Price
        Sell Proceeds
        Sell Transaction Date
        Sell Transaction Sequence Number
        Sell Transaction Lot
        Sell To
        Capital Gain Amount
        Capital Gain Period
        +
      Sell Currency Data consisting of
        Sell Currency Rate
        Sell Currency From
        Sell Currency To
        Sell Currency Date
        +
      Audit Fields consisting of Processing Model 2
        Transaction Date
        Transaction Sequence Number
        Transaction Lot
        Reversing Transaction Date
        Reversing Sequence Number
        Reversing Transaction Lot
        Reversed By Transaction Date
        Reversed By Transaction Sequence Number
        Reversed By Transaction Lot
        Trade Date
        Archive Status
        Archive Date
    (ST) System Trade Settlement
      Primary Data consisting of
        Licensee Identifier
        Account Identifier
        Entity Identifier
        Purchase Date
        Amount Units
        Cost Basis
        Buyer/Seller
        Trade Settlement Date
        +
      Currency Fields consisting of
        Currency Ratio
        Currency From
        Currency To
        Currency Date
        +
      Other Details
        +
        Transaction Date
        Transaction Sequence Number
        Transaction Lot
        +
      Audit Data consisting of
        Add Date
        Add User Identifier
        Archive Status
        Archive Date
    (SS) System Summary Table
      Primary Data consisting of
        Licensee Identifier
        Job Number
        Job Name
        Begin Time
        End Time
        Number of Accepts
        Number of Rejects
        Total Items
        +
      Audit Data consisting of
        Add Date
        Add User Identifier
        Archive Status
        Archive Date
    Example:
    Licensee Job Job Begin End Total Number Number
    Identifier Number Name Time Time Transactions Accepts Rejects
    (SR) System Reject Table
      Primary Data consisting of
        Licensee Identifier
        Licensee Record
        +
      Audit Data consisting of
        Add Date
        Add User Identifier
        Archive Status
        Archive Date
    Example:
    License Transaction
    Identifier Record
    (SC) System Transaction Count
      Primary Data consisting of
        Licensee Identifier
        Today's Date
        Transaction Identifier
        Transaction Count - Originate
        Transaction Count - Reversal
        +
      Audit Data consisting of
        Add Date
        Add User Identifier
        Archive Status
        Archive Date
    Example:
    License Transaction Transaction Transaction Transaction
    Identifier Date Identifier Count - Orig Count - Rev
    (CS) Customer Income Statement (Income/Expense)
      Primary Data consisting of
        Licensee Identifier
        Account Identifier
        Fiscal Year - YYYY
        Fiscal Year - Period
        Income/Expense
        Income/Expense Number
        Income/Expense Balance
        +
      Audit Fields consisting of
        Add Date
        Add User Identifier
        Archive Status
        Archive Date
    Example:
    Licensee Account Fiscal Fiscal Inc/Exp Inc/Exp Inc/Exp
    Identifier Identifier Year Period Identifier Number Balance
    LICN1
    (CF) Customer Cash Flow (Receipts/Disbursements)
      Primary Data consisting of
        Licensee Identifier
        Account Identifier
        Fiscal Year - YYYY
        Fiscal Year - Period
        Receipt/Disbursement
        Receipt/Disbursement Number
        Receipt/Disbursement Balance
        +
      Audit Fields consisting of
        Add Date
        Add User Identifier
        Archive Status
        Archive Date
    Example:
    Licensee Account Fiscal Fiscal Rec/Dis Rec/Dis Rec/Dis
    Identifier Identifier Year Period Identifier Number Balance
    LICN1
    (CB) Customer Balance Sheet
      Primary Data consisting of
        Licensee Identifier
        Account Identifier
        Entity Identifier
        Purchase Date
        Amount Units
        Cost Basis
        +
      Currency Data consisting of
        Currency Rate
        Currency From
        Currency To
        Currency Date
        +
      Other Details
        +
      Transaction Identification consisting of
        Transaction Date
        Transaction Sequence Number
        Transaction Lot
        +
      Audit Fields consisting of
        Add Date
        Add User Identifier
        Archive Status
        Archive Date
    (CG) Customer Capital Gains
      Primary Data consisting of
        Licensee Identifier
        Account Identifier
        Entity Identifier
        Purchase Date
        Amount Units
        Cost Basis
        Purchase Price
        Buy From
        +
      Transaction Identification consisting of
        Transaction Date
        Transaction Sequence Number
        Transaction Lot
        +
      Buy Currency Fields consisting of
        Current Rate
        Currency From
        Currency To
        Currency Date
        +
      Sell Data consisting of
        Sell Date
        Sell Price
        Sell Proceeds
        Sell Transaction Date
        Sell Transaction Sequence Number
        Sell Transaction Lot
        Sell To
        Capital Gain Amount
        Capital Gain Period
        +
      Sell Currency Data consisting of
        Sell Currency Rate
        Sell Currency From
        Sell Currency To
        Sell Currency Date
        +
      Audit Fields consisting of
        Add Date
        Add User Identifier
        Archive Status
        Archive Date
    (CI) Customer Pending Income
      Primary Data consisting of
        Licensee Identifier
        Account Identifier
        Entity Identifier
        Purchase Date
        Amount Units
        Cost Basis
        Purchase Price
        +
      Transaction Identification consisting of
        Transaction Date
        Transaction Sequence Number
        Transaction Lot
        +
      Payment Date Data consisting of
        Income - Ex-Date
        Income - Record Date
        Income - Payment Date
        +
      Audit Fields consisting of
        Add Date
        Add User Identifier
        Archive Status
        Archive Date
    (CA) Pending Capital Adjustment
      Primary Data consisting of
        Licensee Identifier
        Account Identifier
        +
      Pending Out Data consisting of
        Entity Identifier (Old Entity)
        Purchase Date
        Transaction Identifier (Exchange Out)
        Amount Units (Old Amount)
        Cost Basis
        Purchase Price
        +
      Transaction Identification consisting of
        Transaction Date
        Transaction Sequence Number
        Transaction Lot
        +
      Pending In Data consisting of
        Transaction Identifier (Exchange In)
        Entity Identifier (New Entity)
        Amount Units (New Amount)
        +
      Payment Date Data consisting of
        Capital Adjustment - Ex-Date
        Capital Adjustment - Record Date
        Capital Adjustment - Payment Date
        +
      Audit Fields consisting of
        Add Date
        Add User Identifier
        Archive Status
        Archive Date
    (CP) Customer Performance Measurement
      Primary Data consisting of
        Licensee Identifier
        Account Identifier
        Fiscal Year - YYYY
        Fiscal Year - Period
        Performance Measurement - Type
        Performance Measurement - Group
        Performance Measurement - Class
        Beginning Value
        Beginning Units
        Contributions
        Distributions
        Income
        Expenses
        Management Fees
        Commissions
        Federal Taxes
        State Taxes
        Local Taxes
        Ending Value
        Ending Units
        Ending Net Asset Value
        +
      Capital Gain Control Fields consisting of
        Total Units
        Total Cost Basis
      System Control Fields consisting of
        Total Income
        Total Expense
        Total Receipts
        Total Disbursements
        +
      Pending Income consisting of
        Total Units
        Total Cost Basis
        Total Pending Income
        +
      Pending Cap Adj Out consisting of
        Cap Adj Out - Units
        Cap Adj Out - Cost Basis
        Cap Adj In - Units
        Cap Adj In - Cost Basis
        +
      Audit Fields consisting of
        Add Date
        Add User Identifier
        Archive Status
        Archive Date
  • SAMPLE DATA FOR LICENSE GENERAL LEDGER
    DEFINITION TABLE (LL)
    Licensee Asset Accounting Accounting
    Identifier or Liab Control Number Name
    LICN1 A A05 Municipal Bonds
    LICN1 A A07 Corporate Bonds
    LICN1 A A10 Common Stocks
    LICN1 A A12 Mutual Funds
    LICN1 A A13 International Currencies
    LICN1 A A15 Oil Partnerships
    LICN1 A A20 Real Estate Partnerships
    LICN1 A A30 Foreign Equities
    LICN1 A A35 Objects of Art
    LICN1 A A40 Jewelry
    LICN1 A A45 Homes
    LICN A A50 Automobiles
    LICN A A90 Derivatives
    LICN2 A W10 MSA/RSA - North
    LICN2 A W20 MSA/RSA - East
    LICN2 A W30 MSA/RSA - South
    LICN2 A W40 MSA/RSA - West
    LICN2 A L10 Alabama
    LICN2 A L20 Alaska
    . . .
    . . .
    . . .
    LICN2 A L500 Wyoming
    LICN2 A S10 Major Market 1
    LICN2 A S20 Major Market 2
    LICN2 A S30 Major Market 3
    . . .
    . . .
    . . .
    LICN2 A S1000 Major Market N
    LICN3 A C10 Cash
    LICN3 A C20 Other Current Assets
    LICN3 A C30 Fixed Assets
    LICN3 A C40 Depreciation
    LICN3 A C50 Intangible Assets
    LICN1 L L05 Uninvested Income
    LICN1 L L10 Invested Income
    LICN1 L L15 Uninvested Principal
    LICN1 L L20 Invested Principal
    LICN1 L L30 Personal Notes
    LICN1 L L40 Mortgages
    LICN1 L L90 Income
    LICN1 L L60 Short-Term Liabilities
    LICN1 L L65 Deferred Taxes
    LICN1 L L70 Long-Term Liabilities
    LICN1 L L75 Net Worth
  • SAMPLE DATA FOR SYSTEM GENERAL LEDGER TABLE
    Asset Accounting
    Licensee or Account Control Accounting
    Master Liab Type Number Name
    LICN1 A 000 000 Financial Services Assets
    LICN1 A 100 000 Pension Trust
    LICN1 A 100 A01 Income Cash Demand
    LICN1 A 100 A02 Income Cash Overdraft
    LICN1 A 100 A03 Principal Cash Demand
    LICN1 A 100 A04 Principal Cash Overdraft
    LICN1 A 100 A07 Corporate Bonds
    LICN1 A 100 A10 Common Stocks
    LICN1 A 100 A15 Oil Partnerships
    LICN1 A 100 A20 Real Estate Partnerships
    LICN1 A 100 A30 Foreign Equities
    LICN1 A 200 000 Investment Advisory
    LICN1 A 200 A01 Income Cash Demand
    LICN1 A 200 A02 Income Cash Overdraft
    LICN1 A 200 A03 Principal Cash Demand
    LICN1 A 200 A04 Principal Cash Overdraft
    LICN1 A 200 A05 Municipal Bonds
    LICN1 A 200 A07 Municipal Bonds
    LICN1 A 200 A10 Common Stocks
    LICN1 A 200 A12 Mutual Funds
    LICN1 A 200 A13 International Currencies
    LICN1 A 200 A15 Oil Partnerships
    LICN1 A 200 A20 Real Estate Partnerships
    LICN1 A 100 A30 Foreign Equities
    LICN1 A 100 A90 Financial Derivatives
    LICN1 A 300 000 Estates
    LICN1 A 300 A01 Income Cash Demand
    LICN1 A 300 A02 Income Cash Overdraft
    LICN1 A 300 A03 Principal Cash Demand
    LICN1 A 300 A04 Principal Cash Overdraft
    LICN1 A 300 A05 Municipal Bonds
    LICN1 A 300 A07 Corporate Bonds
    LICN1 A 300 A10 Common Stocks
    LICN1 A 300 A12 Mutual Funds
    LICN1 A 300 A15 Oil Partnerships
    LICN1 A 300 A20 Real Estate Partnerships
    LICN1 A 300 A30 Foreign Equities
    LICN1 A 300 A35 Objects of Art
    LICN1 A 300 A40 Jewelry
    LICN1 A 300 A40 Homes
    LICN1 A 300 A50 Automobiles
    LICN1 A 400 000 Settlement Accounts - Buy
    LICN1 A 400 A01 Income Cash Demand
    LICN1 A 400 A02 Income Cash Overdraft
    LICN1 A 400 A03 Principal Cash Demand
    LICN1 A 400 A04 Principal Cash Overdraft
    LICN1 A 400 A05 Corporate Bonds
    LICN1 A 400 A07 Municipal Bonds
    LICN1 A 400 A10 Common Stocks
    LICN1 A 400 A15 Oil Partnerships
    LICN1 A 400 A20 Real Estate Partnerships
    LICN1 A 400 A30 Foreign Equities
    LICN1 A 500 000 Settlement Accounts - Sell
    LICN1 A 500 A01 Income Cash Demand
    LICN1 A 500 A02 Income Cash Overdraft
    LICN1 A 500 A03 Principal Cash Demand
    LICN1 A 500 A04 Principal Cash Overdraft
    LICN1 A 500 A05 Corporate Bonds
    LICN1 A 500 A07 Municipal Bonds
    LICN1 A 500 A10 Common Stocks
    LICN1 A 500 A15 Oil Partnerships
    LICN1 A 500 A20 Real Estate Partnerships
    LICN1 A 500 A30 Foreign Equities
    (AND/OR)
    LICN2 A 1000 000 Communication Assets
    LICN2 A 1000 W00 Wireless Communications
    LICN2 A 1000 W10 MSA/RSA - North
    LICN2 A 1000 W20 MSA/RSA - East
    LICN2 A 1000 W30 MSA/RSA - South
    LICN2 A 1000 W40 MSA/RSA - West
    LICN2 A 2000 L00 Landline Communications
    LICN2 A 2000 L10 Alabama
    LICN2 A 2000 L20 Alaska
    . .
    . .
    . .
    LICN2 A 2000 L500 Wyoming
    LICN2 A 3000 S00 Satellite Broadcast
    LICN2 A 3000 S10 Major Market 1
    LICN2 A 3000 S20 Major Market 2
    LICN2 A 3000 S30 Major Market 3
    . .
    . .
    . .
    LICN2 A 3000 S1000 Major Market 4
    (AND/OR)
    LICN3 A 0000 000 Corporate Assets
    LICN3 A 9000 000 Domestic Subsidiary
    LICN3 A 9000 C10 Cash
    LICN3 A 9000 C20 Other Current Assets
    LICN3 A 9000 C30 Fixed Assets
    LICN3 A 9000 C40 Depreciation
    LICN3 A 9000 C50 Intangible Assets
    LICN3 A 9000 000 Foreign Subsidiary
    LICN3 A 9000 C10 Cash
    LICN3 A 9000 C20 Other Current Assets
    LICN3 A 9000 C30 Fixed Assets
    LICN3 A 9000 C40 Depreciation
    LICN3 A 9000 C50 Intangible Assets
    LICN1 L 000 000 Financial Services Liabilities
    LICN1 L 100 000 Pension Trust
    LICN1 L 100 L15 Uninvested Principal
    LICN1 L 100 L20 Invested Principal
    LICN1 L 200 000 Investment Advisory
    LICN1 L 200 L05 Uninvested Income
    LICN1 L 200 L10 Invested Income
    LICN1 L 200 L15 Uninvested Principal
    LICN1 L 200 L20 Invested Principal
    LICN1 L 300 000 Estates
    LICN1 L 300 L05 Uninvested Income
    LICN1 L 300 L10 Invested Income
    LICN1 L 300 L15 Uninvested Principal
    LICN1 L 300 L20 Invested Principal
    LICN1 L 300 L30 Personal Notes
    LICN1 L 300 L40 Mortgages
    LICN1 L 400 000 Settlement - Buy
    LICN1 L 400 L15 Uninvested Principal
    LICN1 L 400 L20 Invested Principal
    LICN1 L 500 000 Settlement - Buy
    LICN1 L 500 L15 Uninvested Principal
    LICN1 L 500 L20 Invested Principal
    (AND/OR)
    LICN2 L 1000 000 Communications
    LICN2 L 1000 000 Wireless
    LICN2 L 1000 L90 Income
    LICN2 L 2000 000 Landline
    LICN2 L 2000 L90 Income
    LICN2 L 3000 000 Satellite Broadcast
    LICN2 L 3000 L90 Income
    (AND/OR)
    LICN3 L 9000 000 Domestic Subsidiary
    LICN3 L 9000 L60 Short-Term Liabilities
    LICN3 L 9000 L65 Deferred Taxes
    LICN3 L 9000 L70 Long-Term Liabilities
    LICN3 L 9000 L75 Net Worth
    LICN3 L 9000 000 Foreign Subsidiary
    LICN3 L 9000 L60 Short-Term Liabilities
    LICN3 L 9000 L65 Deferred Taxes
    LICN3 L 9000 L70 Long-Term Liabilities
    LICN3 L 9000 L75 Net Worth
  • A Standardized Method for Naming the Programs (or SQL Scripts) and Data Elements of Real-time
  • Multiprocessed Automated Applications
  • The specific invention is a standardized file naming convention to be used in the automatic generation of program code for multiple large-scale transaction processing applications (such as securities trading, telecommunications billing, and work management) on multi-processing computers (using 4, 8, 16, 32 processors) with 100% auditability of user-defined controls. The standardized file naming convention is totally independent of any specific
  • a.) application such as accounts receivable, customer billing, etc.,
  • b.) industry such as financial services, telecommunications, or work management,
  • c.) hardware manufacturer such as Compaq, Digital, HP, IBM, NCR, Unisys,
  • d.) operating system such as MS-DOS, UNIX, OpenVMS, MVS, etc.,
  • e.) relational database management system such as Oracle, Sybase, MS-SQL Server,
  • f.) computer language such as SQL, COBOL, Fortran, PL/l, etc.
  • The standard naming convention contains the fewest number of characters in any naming conventions; namely, eleven characters used by MS-DOS. The naming convention of MS-DOS uses eight characters as a file name and three characters as a file extension wherein the user may define a file name using the alphabet and selected other characters. While this flexibility is suitable for home use are a small number of files and users, it is not acceptable for large-scale enterprise-wide applications with large number of files and large number of supporting technicians. Hence, the need for enterprise-wide standards.
  • The standard file naming convention contains six elements that permit the technician to readily identify the functionality of the specific script (or program) without looking at its contents. Using ANSI Standard structured Query Language as an example language, the six elements are:
  • a.) a 2-character mnemonic for the SQL commands such as:
    Mnemonic ANSI Standard SQL Commands
    CT Create Table
    SF Select From Table
    DF Delete From
    DT Drop Table
    II Insert Into
    SI Select Into
    CS Create Sequence
    DS Drop Sequence
    CI Create Index
    DI Drop Index
    RV Review
    RT Retest
    RS Reset, etc.
  • b.) a 2-character mnemonic for the application name such as
    Mnemonic User Defined Application Name Examples
    ST Securities Trading
    TC Telecommunications Billing
    WM Work Management, etc.
  • c.) a 2-character mnemonic for the table (or file name) such as
    Mnemonic User-Defined Table Name Examples
    AM Account Master Name/Address/Etc.
    SM Securities Master
    DC Detail Calls
    XB External Billing, etc.
  • d.) a 1-character mnemonic for the table cluster role such as
    Mnemonic Standard Table Roles
    M Master
    I Input
    A Accepts
    R Rejects
    H History
    S Summary
    1 Master History
    2 Accepts History
    O Output
  • e.) a 1-character mnemonic for the table cluster type such as
    Mnemonic Standard Table Types
    M Master
    J Journal
    T Temporary
    1-9 Index Numbers

    f.) a 3-character extension is then added to the file name depending upon
  • the type of operating system being used such as MS-DOS, UNIX, OpenVMS, etc. and
  • whether or not the file is a source file for programmer use or a compiled file (or stored procedure) for machine use.
  • Hence, script name examples are:
  • CTXBMDMM.SQL—Create Table for the External Billing System, Master Definition Table Cluster, Master Table, and Master Role for SQL use.
  • DTXBDCOJ.SQL—Drop Table for the External Billing System, Detail Call Cluster, Output Table, and Journal Role for SQL use.
  • Circumstances Leading to the Invention
  • The circumstances leading to the invention of a standard SQL script naming convention are:
  • a.) one programmer will rarely adhere to the same naming conventions over time and unless an acceptable standard is defined each succeeding programmer added to the job will only complicate the issue by bringing their own standards. Hence, software maintenance becomes a matter of knowing which programmer wrote which program at what time.
  • b.) without a naming standard any programmer has no idea of what functions the programming is performing without opening the program and examining the program code. This process produces create inefficient maintenance by existing programmers and inefficient training for new programmers.
  • c.) Competitive pressures are mounting for the efficient of software maintenance.
  • ADVANTAGE OF THE INVENTION
  • Because no duplicate script names are permitted the name of each SQL Script should
  • a.) convey to the user the precise use of each SQL Script and
  • b.) permit the storage of all SQL scripts in a one SQL Script Library, or directory.
  • A standard naming convention also permits the user to determine what scripts may be automatically executed in sequence by use of a SQL command script, which is a single SQL-script containing a list of SQL scripts to be executed in sequence. Hence, any single SQL scripts contained in the SQL Library can be reused in many different SQL command scripts.
  • Although any standard naming convention represents a unique entity separate and apart from the other technologies described immediately above, this particular naming convention is unique in that it embraces all of the logical information necessary to readily identify the role of the script in the total system.
  • DETAILED DESCRIPTION OF INVENTION
  • std_name is a standard naming convention that constructs names for programs (or SQL Scripts), system tables, table clusters, and data elements. The seven basic elements are:
    1.) org_name Organization 2
    2.) com_name SQL Command 2
    3.) app_name Application 2
    4.) tab_name Table 2
    5.) rol_name Table Role 1
    6.) typ_name Table Type 1
    7.) col_name Column (or Field) 4
  • std_name defines both “external” names used by the operating system and “internal” names used by the specific program.
  • The “external” resulting names are:
    1.) clu_name Cluster Name 4
    2.) sys_name System Table Name 6
    3.) ext_name Extension Name 3
    4.) sql_name SQL Script Name 11
    (8 name plus 3 extension)
  • where the SQL Script Names are used by the operating systems.
  • The “internal” resulting names are:
    1.) tab_iden Table Iden Name 4
    2.) col_name Column (or Field) Name 4
    3.) dat_name Data Element Name 8 or more, in
    increments of 4
  • where the Data Element Names are used by the programs (or SQL Scripts).
  • External Names used by the operating system in identifying programs (or SQL Scripts) are created by employing the following naming components:
      com_name   SQL Command Mnemonic
        app_name   Application Name Mnemonic
         tab_name   Table Name Mnemonic
           rol_name   Table Role Name Mnemonic
             tab_name   Table Type Name Mnemonic
              ext_name   Extension Mnemonic
    1 2 3 4 5 6 7 8 . 9 10 11
    Examples: C T X B M D M M . S Q L
    S F X B M D M M . S Q L
          clu_name
              tab_iden
            sys_name     ext_name
             sql_name
  • Internal Names used by the program (or SQL Script) in processing the data elements are created by employing the following naming components:
    5 6 7 8
    tab_name Table Name Mnemonic
     rol_name  Role Name Mnemonic
      typ_name   Type Name Mnemonic
       col_name    Column Name
    Examples: M D M M LNAM . . .  for last name
    M D M M FNAM . . .  for first name
    M D M M MNAM . . .  for middle name
    M D M M ADR1 . . .  address - 1st line
    M D M M ADR2 . . .  address - 2cd line.
    M D M M CITY . . .  city
    M D M M STAT . . .  state
    M D M M ZIPC . . . zip code
    dat_name

    Data Tracing
  • By addressing both the external names for the operating system and the internal names for a specific program, the naming convention is global in nature. In the event that one data element derives its source of input from another table rather than its own specific input screen, then the data name is extended by placing the table identifier of the table supplying the data between the first four and second four characters of the intended data name. Should the data be derived from another table that also derived its data from another table, then eight characters are placed between the first four characters and the last four characters of the intended data name. In the fashion, the data name points backwards through all of the preceding tables to the original source of data and its input form. This process is called “data tracing”, and it provides benefits to programmers in the testing and debugging stages of software development by identifying the original source of data. Thus, “data tracing” provides the programmer with thorough documentation of the data flow throughout an entire system.
  • Standard naming conventions do not apply to certain language extensions such as the script footings that, for example, specify the size of the table to be created in a “Create Table” script.
  • The foregoing discussion of the invention has been presented for purposes of illustration and description. Further, comments and description is not intended to limit the invention to the form disclosed herein. Consequently, variation and modification commensurate with the above teachings, and within the skill and knowledge of the relevant art, are within the scope of the present invention. The embodiment described herein above is further intended to explain the best mode presently known of practicing the invention and to enable others skilled in the art to utilize the invention as such, or in other embodiments, and with the various modifications required by their particular application or uses of the invention. It is intended that the appended claims be construed to include alternative embodiments to the extent permitted by the prior art.

Claims (21)

1-26. (canceled)
27. A method for processing a financial transaction on a computing system using a plurality of processors comprising:
retrieving, in response to a request to perform a financial transaction having a transaction identifier and input values, a unique subset of user-defined algorithms from a set of user-defined algorithms, wherein the unique subset is associated with the transaction identifier via a user-defined transaction processing table, each user-defined algorithm, when executed by a processor on the input values, creates or changes a data record such that the unique subset of user-defined algorithms associated with the transaction identifier, when executed using the input values, creates or changes data records stored in a database as necessary to process the financial transaction;
executing each of the user-defined algorithms of the unique subset on the input values;
wherein the unique subset of algorithms are executed concurrently on different processors and the financial transaction is considered processed when all algorithms in the unique subset of user-defined algorithms have been executed on the input values.
28. The method of claim 27, wherein each request further includes a licensee identifier and the set of user-defined algorithms is further associated with the licensee identifier.
29. The method of claim 27, wherein executing each of the user-defined algorithms of the unique subset on the input values comprises:
executing a user-defined algorithm that creates a data record in a transaction journal file; executing a user-defined algorithm that changes a data record in a general ledger master table;
executing a user-defined algorithm that changes a data record in an account master table; and
executing a user-defined algorithm that changes a data record in an entity attribute master table.
30. The method of claim 27 further comprising:
generating a transaction sequence number for the retrieved request to perform a financial transaction.
31. The method of claim 29, wherein executing each of the user-defined algorithms of the unique subset on the input values comprises:
executing a user-defined algorithm that creates, changes or deletes a data record in a cash flow table;
executing a user-defined algorithm creates, changes or deletes a data record in an income statement table;
executing a user-defined algorithm that creates, changes or deletes a data record in a capital gains table;
executing a user-defined algorithm that creates, changes or deletes a data record in a balance sheet table; and
executing a user-defined algorithm that creates, changes or deletes a data record in a performance measurement table.
32. The method of claim 27, further comprising:
if the transaction identifier is not associated with a unique subset of user-defined algorithms from the set of user-defined algorithms, writing the request to perform the financial transaction to a system reject table.
33. The method of claim 27 further comprising:
if one of the algorithms fails to execute,
reversing all algorithms of the unique subset that did execute; and
writing the request to perform the financial transaction to a system reject table.
34. The method of claim 27 wherein each of the unique subset of algorithms is executed concurrently on a different one of the plurality of processors.
35. The method of claim 27 wherein at least one of the unique subset of algorithms is executed on a first processor concurrently with the execution of at least one algorithm of a different unique subset of algorithms on a different processor.
36. The method of claim 27 wherein at least one of the unique subset of algorithms is executed on a first processor concurrently with the execution of at least two algorithms of different unique subsets of algorithms on different processors.
37. A method for processing financial transactions on a multiprocessing machine having a plurality of processors, each financial transaction having financial transaction data, the method comprising:
maintaining a set of user-defined algorithms, each user-defined algorithm being independently and simultaneously processable by anyone of the plurality of processors in the multiprocessing machine and each user-defined algorithm when processed on financial data adds, changes or deletes only one financial data record based on the financial data;
receiving a first financial transaction having a first user-defined financial transaction type and first financial data;
identifying, for the first financial transaction, a first unique subset of user-defined algorithms from a set of user-defined algorithms based on the first user-defined financial transaction type;
processing each user-defined algorithm in the first unique subset of user-defined algorithms on the first financial data;
receiving a second financial transaction having a second user-defined financial transaction type and second financial data;
identifying, for the second financial transaction, a second unique subset of user-defined algorithms from the set of user-defined algorithms based on the second user-defined financial transaction type;
processing each user-defined algorithm in the second unique subset of user-defined algorithms on the second financial data; and
wherein all the user-defined algorithms in the first unique subset of user-defined algorithms on the first financial data and at least one of the second unique subset of user-defined algorithms are concurrently processed.
38. The method of claim 37, wherein each user-defined algorithm changes only one financial data record in only one user-defined financial report and includes an operator, a first operand that identifies input data from the financial transaction data, and a second operand that identifies the only one data record.
39. The method of claim 37 further comprising:
maintaining a user-defined transaction processing table that associates each user-defined transaction type with a unique subset of the set of user-defined algorithms including associating the first unique subset of user-defined algorithms with the first user-defined financial transaction type and the second unique subset of user-defined algorithms with the second user-defined financial transaction type.
40. The method of claim 37, wherein processing each unique subset of the set of user-defined algorithms associated with a user-defined transaction type comprises:
executing a user-defined algorithm on a first processor that creates a data record in a transaction journal file;
concurrently executing a user-defined algorithm on a second processor that changes a data record in a general ledger master table;
concurrently executing a user-defined algorithm on a third processor that changes a data record in an account master table; and
concurrently executing a user-defined algorithm on a fourth processor that changes a data record in an entity attribute master table.
41. The method of claim 37 further comprising:
wherein at least one of the second unique subset of user-defined algorithms is completed prior to completion of processing all the user-defined algorithms in the first unique subset of user-defined algorithms.
42. The method of claim 37 further comprising:
receiving the second financial transaction after receiving the first financial transaction; and
completing processing of all of the user-defined algorithms in the second unique subset of user-defined algorithms prior to completing the processing of all of the user-defined algorithms in the first unique subset of user-defined algorithms.
43. A financial transaction multiprocessing system for an enterprise, each financial transaction having a financial transaction type and financial transaction data, comprising:
a multiprocessing computer having a plurality of processors;
a financial record database storing financial data records;
a database manager for creating, changing and deleting financial data records;
a queue for receiving financial transactions for processing, wherein each financial transaction when processed results in adding, changing or deleting to at least one financial data record and wherein each financial transaction is associated with one of a plurality of user-defined financial transaction types and includes financial transaction data;
an algorithm database storing a set of user-defined algorithms, each user-defined algorithm capable of being processed concurrently and independently with any other user-defined algorithm and each user-defined algorithm when processed by anyone of the plurality of processors causing the database manager to add, change or delete a financial data record; and
a transaction processing table that associates each user-defined transaction type with a unique subset of the set of user-defined algorithms such that processing a first financial transaction having a first financial transaction type and first financial transaction data is achieved by processing a first unique subset of user-defined algorithms associated with the first financial transaction type on the first financial transaction data.
44. The financial transaction multiprocessing system of claim 43 further comprising:
a set of control tables;
a set of user-defined control algorithms, each user-defined control algorithm when processed causing the database manager to add, change or delete one or more data records in one or more control tables; and
wherein the transaction processing table further associates one or more user-defined control algorithms with each user-defined financial transaction type.
45. The system of claim 43 further comprising:
a processor queue for user-defined algorithms, the processor queue distributing queued user-defined algorithms to processors as the processors become available.
46. The system of claim 43, wherein each user-defined algorithm includes only one operator and only a first operand and a second operand, the first operand identifying input data from the financial transaction data of the financial transaction to be processed, and the second operand identifying the only one data record.
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US10/928,463 US20050165668A1 (en) 1997-10-29 2004-08-26 Multi-processing financial transaction processing system
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Cited By (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050120032A1 (en) * 2003-10-30 2005-06-02 Gunther Liebich Systems and methods for modeling costed entities and performing a value chain analysis
US20080155191A1 (en) * 2006-12-21 2008-06-26 Anderson Robert J Systems and methods for providing heterogeneous storage systems
US20090327218A1 (en) * 2006-08-18 2009-12-31 Passey Aaron J Systems and Methods of Reverse Lookup
US20100145851A1 (en) * 2006-12-18 2010-06-10 Fundamo (Proprietary) Limited Transaction system with enhanced instruction recognition
US20110035412A1 (en) * 2005-10-21 2011-02-10 Isilon Systems, Inc. Systems and methods for maintaining distributed data
WO2011016957A1 (en) * 2009-08-07 2011-02-10 Alibaba Group Holding Limited Method and system for account parallel processing
US7900015B2 (en) 2007-04-13 2011-03-01 Isilon Systems, Inc. Systems and methods of quota accounting
US20110106670A1 (en) * 2009-11-03 2011-05-05 Hartford Fire Insurance Company System and method for use in management of financial assets
US7949636B2 (en) * 2008-03-27 2011-05-24 Emc Corporation Systems and methods for a read only mode for a portion of a storage system
US7966289B2 (en) 2007-08-21 2011-06-21 Emc Corporation Systems and methods for reading objects in a file system
US8005865B2 (en) 2006-03-31 2011-08-23 Emc Corporation Systems and methods for notifying listeners of events
US8010493B2 (en) 2006-08-18 2011-08-30 Emc Corporation Systems and methods for a snapshot of data
US8015216B2 (en) 2007-04-13 2011-09-06 Emc Corporation Systems and methods of providing possible value ranges
US8015156B2 (en) 2006-08-18 2011-09-06 Emc Corporation Systems and methods for a snapshot of data
US8051425B2 (en) 2004-10-29 2011-11-01 Emc Corporation Distributed system with asynchronous execution systems and methods
US8054765B2 (en) 2005-10-21 2011-11-08 Emc Corporation Systems and methods for providing variable protection
US8055711B2 (en) 2004-10-29 2011-11-08 Emc Corporation Non-blocking commit protocol systems and methods
US8060521B2 (en) 2006-12-22 2011-11-15 Emc Corporation Systems and methods of directory entry encodings
US8082379B2 (en) 2007-01-05 2011-12-20 Emc Corporation Systems and methods for managing semantic locks
US8112395B2 (en) 2001-08-03 2012-02-07 Emc Corporation Systems and methods for providing a distributed file system utilizing metadata to track information about data stored throughout the system
US8176013B2 (en) 2005-10-21 2012-05-08 Emc Corporation Systems and methods for accessing and updating distributed data
US8200632B2 (en) 2007-08-21 2012-06-12 Emc Corporation Systems and methods for adaptive copy on write
US8214334B2 (en) 2005-10-21 2012-07-03 Emc Corporation Systems and methods for distributed system scanning
US8238350B2 (en) 2004-10-29 2012-08-07 Emc Corporation Message batching with checkpoints systems and methods
US8286029B2 (en) 2006-12-21 2012-10-09 Emc Corporation Systems and methods for managing unavailable storage devices
US8356013B2 (en) 2006-08-18 2013-01-15 Emc Corporation Systems and methods for a snapshot of data
US8356150B2 (en) 2006-08-18 2013-01-15 Emc Corporation Systems and methods for providing nonlinear journaling
US8380689B2 (en) 2006-08-18 2013-02-19 Emc Corporation Systems and methods for providing nonlinear journaling
US20130151391A1 (en) * 2011-12-09 2013-06-13 Jerome Simonoff System and Method for Delaying Execution of Financial Transactions
US8625464B2 (en) 2006-02-17 2014-01-07 Emc Corporation Systems and methods for providing a quiescing protocol
US20140012724A1 (en) * 2011-03-23 2014-01-09 Detica Patent Limited Automated fraud detection method and system
CN104317963A (en) * 2014-11-14 2015-01-28 中国建设银行股份有限公司 Method and device for processing data
US8966080B2 (en) 2007-04-13 2015-02-24 Emc Corporation Systems and methods of managing resource utilization on a threaded computer system
TWI501171B (en) * 2010-03-08 2015-09-21 Alibaba Group Holding Ltd

Families Citing this family (193)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6999937B1 (en) * 1991-12-23 2006-02-14 Oracle International Corporation System for predefining via an activity scheduler first types of entered data that are processed by an activity processor in real time and second types of entered data that are queued for processing at another time
GB2297180B (en) 1993-09-27 1998-05-20 Oracle Corp Method and apparatus for parallel processing in a database system
US20070055582A1 (en) * 1996-11-12 2007-03-08 Hahn-Carlson Dean W Transaction processing with core and distributor processor implementations
US8392285B2 (en) 1996-11-12 2013-03-05 Syncada Llc Multi-supplier transaction and payment programmed processing approach with at least one supplier
US8396811B1 (en) 1999-02-26 2013-03-12 Syncada Llc Validation approach for auditing a vendor-based transaction
US20080172314A1 (en) 1996-11-12 2008-07-17 Hahn-Carlson Dean W Financial institution-based transaction processing system and approach
US6442533B1 (en) * 1997-10-29 2002-08-27 William H. Hinkle Multi-processing financial transaction processing system
SG143028A1 (en) * 1999-05-24 2008-06-27 Glenn Rolus Borgward Data processing device
JP4226171B2 (en) * 1998-11-17 2009-02-18 富士通株式会社 Accounting system for processing transaction data, and its method, and storage medium storing a program therefor
US6813611B1 (en) * 1999-06-08 2004-11-02 International Business Machines Corporation Controlling, configuring, storing, monitoring and maintaining accounting of bookkeeping information employing trees with nodes having embedded information
US6801938B1 (en) * 1999-06-18 2004-10-05 Torrent Systems, Inc. Segmentation and processing of continuous data streams using transactional semantics
US6952741B1 (en) 1999-06-30 2005-10-04 Computer Sciences Corporation System and method for synchronizing copies of data in a computer system
US7165044B1 (en) * 1999-10-01 2007-01-16 Summa Lp Applications Investment portfolio tracking system and method
EP1093072A1 (en) * 1999-10-16 2001-04-18 Rolf-Georg Brockmans Method for retrievable archiving of individual items of a cumulative transaction
US20080133417A1 (en) * 1999-10-18 2008-06-05 Emergent Music Llc System to determine quality through reselling of items
US7363264B1 (en) 1999-10-29 2008-04-22 Computer Sciences Corporation Processing business transactions using dynamic database packageset switching
US7693844B1 (en) 1999-10-29 2010-04-06 Computer Sciences Corporation Configuring processing relationships among entities of an organization
US6925468B1 (en) 1999-10-29 2005-08-02 Computer Sciences Corporation Configuring systems for generating business transaction reports using processing relationships among entities of an organization
US7546304B1 (en) 1999-10-29 2009-06-09 Computer Sciences Corporation Configuring keys for use in processing business data
US7353196B1 (en) 1999-10-29 2008-04-01 Computer Sciences Corporation Configuring dynamic database packageset switching for use in processing business transactions
US7571171B1 (en) * 1999-10-29 2009-08-04 Computer Sciences Corporation Smart trigger for use in processing business transactions
US7526487B1 (en) 1999-10-29 2009-04-28 Computer Sciences Corporation Business transaction processing systems and methods
US7885868B2 (en) * 1999-12-20 2011-02-08 Jacques Nault Reading, organizing and manipulating accounting data
US6751650B1 (en) * 2000-01-31 2004-06-15 Journyx, Inc. Method and apparatus for monitoring contractor performance
US6753884B1 (en) * 2000-01-31 2004-06-22 Journyx, Inc. Method and apparatus for wireless web time and expense entry via time keeping and expense tracking server access
AU4347301A (en) * 2000-03-07 2001-09-17 American Express Travel Relate System for facilitating a transaction
US7139743B2 (en) 2000-04-07 2006-11-21 Washington University Associative database scanning and information retrieval using FPGA devices
US8095508B2 (en) 2000-04-07 2012-01-10 Washington University Intelligent data storage and processing using FPGA devices
DE10017710A1 (en) * 2000-04-10 2001-10-18 Johannes Schellmann A method of acquiring and processing data of transactions
WO2001088772A2 (en) 2000-05-17 2001-11-22 The Canadian Institute Of Chartered Accountants Continuously updated data processing system and method for measuring and reporting on value creation performance
US6721742B1 (en) * 2000-05-31 2004-04-13 International Business Machines Corporation Method, system and program products for modifying globally stored tables of a client-server environment
US7487152B1 (en) 2000-05-31 2009-02-03 International Business Machines Corporation Method for efficiently locking resources of a global data repository
US7043457B1 (en) 2000-06-28 2006-05-09 Probuild, Inc. System and method for managing and evaluating network commodities purchasing
US7249138B1 (en) * 2000-06-29 2007-07-24 Ncr Corporation Parallel selection processing for financial processing in a relational database management system
US7418415B1 (en) * 2001-12-10 2008-08-26 Teredata Us, Inc. Object-oriented representation of a generic profitability rule for financial processing in a relational database management system
US6959287B2 (en) * 2000-07-18 2005-10-25 Delta Air Lines, Inc. Method and system for conducting a target audit in a high volume transaction environment
US7418414B2 (en) * 2000-12-29 2008-08-26 Eprosper System and method to organize and manage corporate capitalization and securities
US6842706B1 (en) * 2001-01-17 2005-01-11 Smart Disaster Response Technologies, Inc. Methods, apparatus, media, and signals for managing utility usage
US20020133448A1 (en) * 2001-01-17 2002-09-19 Mcgarry Glenn System for capturing trade information
US6986129B2 (en) * 2001-05-16 2006-01-10 Sun Microsystems, Inc. System and method for java preprocessor
US7454751B2 (en) * 2001-06-07 2008-11-18 Intel Corporation Fault-tolerant system and methods with trusted message acknowledgement
US7412520B2 (en) 2001-06-07 2008-08-12 Intel Corporation Systems and methods for recoverable workflow
US7174302B2 (en) 2001-06-11 2007-02-06 Evolution Benefits, Inc. System and method for processing flexible spending account transactions
US20030033225A1 (en) * 2001-08-09 2003-02-13 Meldahl Robert Allen Multi-dimensional accounting engine
US7716330B2 (en) * 2001-10-19 2010-05-11 Global Velocity, Inc. System and method for controlling transmission of data packets over an information network
US7831488B2 (en) * 2001-10-24 2010-11-09 Capital Confirmation, Inc. Systems, methods and computer readable medium providing automated third-party confirmations
JP2003150594A (en) * 2001-11-12 2003-05-23 Hitachi Ltd Data warehouse system
US20030154158A1 (en) * 2001-11-14 2003-08-14 Martyn Peter J. Multi-mechanism order processing
US6938241B1 (en) * 2001-12-10 2005-08-30 Lsi Logic Corporation Compiler independent bit-field macros
US20030158759A1 (en) * 2002-01-24 2003-08-21 Robert Kannenberg Method of modifying software by defining business rules
US20030172367A1 (en) * 2002-01-24 2003-09-11 Robert Kannenberg Method of modifying software via a network
US7631299B2 (en) * 2002-01-24 2009-12-08 Computer Sciences Corporation System for modifying software using reusable software components
US7240028B1 (en) * 2002-03-15 2007-07-03 Microsoft Corporation Automated financial register reconciliation in a combined user interface
WO2003087974A2 (en) * 2002-04-09 2003-10-23 Matan Arazi Computerized trading system and method useful therefor
JP2007524923A (en) 2003-05-23 2007-08-30 ワシントン ユニヴァーシティー Intelligent data storage and processing using the Fpga device
US7933827B2 (en) * 2002-06-05 2011-04-26 The Nasdaq Omx Group, Inc. Multi-parallel architecture and a method of using the same
US7921051B2 (en) * 2002-06-05 2011-04-05 The Nasdaq Omx Group, Inc. Security-based order processing technique
US8386362B2 (en) * 2002-06-05 2013-02-26 The Nasdaq Omx Group, Inc. Information distribution process and method
US9311673B2 (en) * 2002-06-05 2016-04-12 Nasdaq, Inc. Security transaction matching
US8244622B2 (en) * 2002-06-05 2012-08-14 The Nasdaq Omx Group, Inc. Order matching process and method
US8090640B2 (en) * 2002-06-05 2012-01-03 The Nasdaq Omx Group, Inc. Order delivery in a securities market
US7747506B2 (en) * 2002-06-05 2010-06-29 The Nasdaq Omx Group, Inc. Recipient status indicator system and method
US7895112B2 (en) * 2002-06-05 2011-02-22 The Nasdaq Omx Group, Inc. Order book process and method
US7974907B2 (en) * 2002-06-05 2011-07-05 The Nasdaq Omx Group, Inc. Configurable security processor identifier table
US20030225655A1 (en) * 2002-06-05 2003-12-04 Hughes John T. Market participant interest dissemination process and method
US7673307B2 (en) * 2003-05-29 2010-03-02 International Business Machines Corporation Managing transactions in a messaging system
GB0215808D0 (en) * 2002-07-09 2002-08-14 Ibm A system and method for managing transactions in a messaging system
US7962399B2 (en) * 2002-07-25 2011-06-14 The Nasdaq Omx Group, Inc. Refreshing displayed quotes for automated market system
US7711844B2 (en) 2002-08-15 2010-05-04 Washington University Of St. Louis TCP-splitter: reliable packet monitoring methods and apparatus for high speed networks
USRE44393E1 (en) 2002-09-03 2013-07-23 Ebs Group Limited System and method for deriving data
US20040133583A1 (en) * 2002-11-20 2004-07-08 Tingey Kenneth B. system architecture and method for entering and accessing entity data in events accounting
US7293011B1 (en) 2002-11-27 2007-11-06 Oracle International Corporation TQ distribution that increases parallism by distributing one slave to a particular data block
US7188113B1 (en) * 2002-11-27 2007-03-06 Oracle International Corporation Reducing contention by slaves for free lists when modifying data in a table partition
US7149752B2 (en) 2002-12-03 2006-12-12 Jp Morgan Chase Bank Method for simplifying databinding in application programs
US7085759B2 (en) 2002-12-06 2006-08-01 Jpmorgan Chase Bank System and method for communicating data to a process
US20040128235A1 (en) 2002-12-30 2004-07-01 Fannie Mae Cash flow aggregation system and method
US20040128228A1 (en) * 2002-12-30 2004-07-01 Fannie Mae Servicer compensation system and method
US20040128227A1 (en) * 2002-12-30 2004-07-01 Fannie Mae Cash flow system and method
AU2003291570A1 (en) * 2002-12-30 2004-07-29 Fannie Mae System and method for creating financial assets
US8032439B2 (en) * 2003-01-07 2011-10-04 Jpmorgan Chase Bank, N.A. System and method for process scheduling
US8065277B1 (en) 2003-01-17 2011-11-22 Daniel John Gardner System and method for a data extraction and backup database
US8375008B1 (en) * 2003-01-17 2013-02-12 Robert Gomes Method and system for enterprise-wide retention of digital or electronic data
US8630984B1 (en) 2003-01-17 2014-01-14 Renew Data Corp. System and method for data extraction from email files
US8943024B1 (en) 2003-01-17 2015-01-27 Daniel John Gardner System and method for data de-duplication
US7505931B2 (en) * 2003-03-03 2009-03-17 Standard Chartered (Ct) Plc Method and system for monitoring transactions
US7379998B2 (en) * 2003-03-31 2008-05-27 Jp Morgan Chase Bank System and method for multi-platform queue queries
US20050027552A1 (en) * 2003-04-11 2005-02-03 Massanelli Joseph A. Systems and methods for claim processing in a recovery audit
EP1616241A4 (en) 2003-04-23 2009-09-02 Prgts Llc Systems and methods for recovery audit scope determination
US7366722B2 (en) 2003-05-15 2008-04-29 Jp Morgan Chase Bank System and method for specifying application services and distributing them across multiple processors using XML
US8095659B2 (en) * 2003-05-16 2012-01-10 Jp Morgan Chase Bank Service interface
US20050034042A1 (en) * 2003-08-07 2005-02-10 Process Direction, Llc System and method for processing and identifying errors in data
US20050038721A1 (en) * 2003-08-11 2005-02-17 Websourceit, Llc Integrated utility accounting, materials management, work management and regulatory reporting software
US8655755B2 (en) 2003-10-22 2014-02-18 Scottrade, Inc. System and method for the automated brokerage of financial instruments
US7188339B2 (en) * 2003-10-24 2007-03-06 Hewlett-Packard Development Company, L.P. ACPI preprocessor
US20050097014A1 (en) * 2003-10-31 2005-05-05 Ebert Peter S. Self-adjusting context-aware expense system
US20050108063A1 (en) * 2003-11-05 2005-05-19 Madill Robert P.Jr. Systems and methods for assessing the potential for fraud in business transactions
US20050131781A1 (en) * 2003-12-10 2005-06-16 Ford Motor Company System and method for auditing
US20050131793A1 (en) * 2003-12-16 2005-06-16 Curtis Hill Automated tax cost basis
US20050177471A1 (en) * 2003-12-24 2005-08-11 Crossett Timothy J. Joint venture accounting method and system
US7599865B2 (en) * 2003-12-30 2009-10-06 Sap Ag Budgetary ledger
US20050144174A1 (en) * 2003-12-31 2005-06-30 Leonid Pesenson Framework for providing remote processing of a graphical user interface
DE202005002890U1 (en) * 2004-03-22 2005-07-14 Sap Ag Systems for managing and reporting of financial information
US8478742B2 (en) * 2004-04-14 2013-07-02 Oracle Corporation Using estimated cost to refresh a set of materialized views (MVS)
AU2005234798B2 (en) * 2004-04-26 2009-01-08 Jp Morgan Chase Bank System and method for routing messages
US20050262147A1 (en) * 2004-05-10 2005-11-24 Lee Peter S Insurance program for portable media players
US20050256797A1 (en) * 2004-05-13 2005-11-17 Scottrade, Inc. Method and apparatus for user-interactive financial instrument trading
US7409351B2 (en) * 2004-05-21 2008-08-05 Sap Ag Method and system for splitting an order in a flexible order transaction system
US20050267823A1 (en) * 2004-05-28 2005-12-01 Bernd Hartmann Balance processor for automated accounting system employing merging and consistency checks
US20050273407A1 (en) * 2004-06-08 2005-12-08 Black Richard K Methods and apparatus for managing a plurality of investments
US7822653B2 (en) * 2004-06-09 2010-10-26 Syncada Llc Transaction accounting payment and classification system and approach
US7574386B2 (en) 2004-06-09 2009-08-11 U.S. Bank National Association Transaction accounting auditing approach and system therefor
WO2005124638A2 (en) 2004-06-09 2005-12-29 U.S. Bancorp Licensing, Inc. Order-resource fulfillment and management system and approach
AU2005255457B2 (en) 2004-06-09 2007-06-07 Syncada Llc Distributor-based transaction processing arrangement and approach
US8762238B2 (en) 2004-06-09 2014-06-24 Syncada Llc Recurring transaction processing system and approach
US20050283471A1 (en) * 2004-06-22 2005-12-22 Oracle International Corporation Multi-tier query processing
US7702627B2 (en) * 2004-06-22 2010-04-20 Oracle International Corporation Efficient interaction among cost-based transformations
US7392471B1 (en) 2004-07-28 2008-06-24 Jp Morgan Chase Bank System and method for comparing extensible markup language (XML) documents
US7814042B2 (en) * 2004-08-17 2010-10-12 Oracle International Corporation Selecting candidate queries
US8429044B2 (en) * 2004-09-09 2013-04-23 Sap Ag Lifting partner groups for allocation of lifted product consistent with production sharing contracts
US20060059021A1 (en) * 2004-09-15 2006-03-16 Jim Yulman Independent adjuster advisor
US9226975B1 (en) * 2004-09-17 2016-01-05 Deem, Inc. Apparatus and method to provide community pricing
GB0424442D0 (en) * 2004-11-05 2004-12-08 Ibm A method, apparatus, computer program and computer program product for managing the durability of a plurality of transactions
US7644050B2 (en) * 2004-12-02 2010-01-05 International Business Machines Corporation Method and apparatus for annotation-based behavior extensions
US7613720B2 (en) * 2004-12-07 2009-11-03 International Business Machines Corporation Selectively removing entities from a user interface displaying network entities
US8069151B1 (en) 2004-12-08 2011-11-29 Chris Crafford System and method for detecting incongruous or incorrect media in a data recovery process
US20070164098A1 (en) * 2004-12-28 2007-07-19 ATM Khalid Staging of Financial Accounts: The Ultimate Charge Account and Ultimate Credit/ATM Card
US8527468B1 (en) 2005-02-08 2013-09-03 Renew Data Corp. System and method for management of retention periods for content in a computing system
US9161994B1 (en) 2005-03-29 2015-10-20 Deem, Inc. Cost model analysis and breakdown for cost buildup
US7496520B1 (en) 2005-07-22 2009-02-24 Rearden Commerce, Inc. System and method for optimization of group shipments to reduce shipping costs
US8099340B2 (en) * 2005-09-02 2012-01-17 Honda Motor Co., Ltd. Financial transaction controls using sending and receiving control data
US8095437B2 (en) * 2005-09-02 2012-01-10 Honda Motor Co., Ltd. Detecting missing files in financial transactions by applying business rules
US8540140B2 (en) * 2005-09-02 2013-09-24 Honda Motor Co., Ltd. Automated handling of exceptions in financial transaction records
US20070055708A1 (en) * 2005-09-07 2007-03-08 Ncr Corporation Processing formulae in rules for profitability calculations for financial processing in a relational database management system
US7877379B2 (en) * 2005-09-30 2011-01-25 Oracle International Corporation Delaying evaluation of expensive expressions in a query
US7664211B2 (en) * 2005-10-07 2010-02-16 Starkey Laboratories, Inc. Automatic gain control with out of band blocking signal compensation
US7499933B1 (en) 2005-11-12 2009-03-03 Jpmorgan Chase Bank, N.A. System and method for managing enterprise application configuration
US7654445B2 (en) * 2005-12-14 2010-02-02 Christopher Michael John System and method for revenue and expense realignment
US8510183B2 (en) * 2005-12-30 2013-08-13 Sap Ag System and method for distributed and integrated asset management
US7945562B2 (en) * 2006-03-15 2011-05-17 Oracle International Corporation Join predicate push-down optimizations
US7809713B2 (en) * 2006-03-15 2010-10-05 Oracle International Corporation Efficient search space analysis for join factorization
US7644062B2 (en) * 2006-03-15 2010-01-05 Oracle International Corporation Join factorization of union/union all queries
US7885891B1 (en) 2006-03-22 2011-02-08 Fannie Mae Portal tool and method for securitizing excess servicing fees
US8103575B1 (en) * 2006-03-27 2012-01-24 Icap Services North America Llc System and method for use in auditing financial transactions
US20070233603A1 (en) * 2006-03-30 2007-10-04 Schmidgall Matthew M Flexible routing of electronic-based transactions
EP1850245A1 (en) * 2006-04-28 2007-10-31 Sap Ag Systems and methods for providing a generic audit trail service
US20070271271A1 (en) * 2006-05-18 2007-11-22 Chalasani Nanchariah R Method, system, and program product for conducting a cross-organizational transaction audit
US20080189273A1 (en) * 2006-06-07 2008-08-07 Digital Mandate, Llc System and method for utilizing advanced search and highlighting techniques for isolating subsets of relevant content data
US20100198802A1 (en) * 2006-06-07 2010-08-05 Renew Data Corp. System and method for optimizing search objects submitted to a data resource
US8150827B2 (en) * 2006-06-07 2012-04-03 Renew Data Corp. Methods for enhancing efficiency and cost effectiveness of first pass review of documents
US7610172B2 (en) * 2006-06-16 2009-10-27 Jpmorgan Chase Bank, N.A. Method and system for monitoring non-occurring events
US7921046B2 (en) 2006-06-19 2011-04-05 Exegy Incorporated High speed processing of financial information using FPGA devices
US7840482B2 (en) 2006-06-19 2010-11-23 Exegy Incorporated Method and system for high speed options pricing
US8086077B2 (en) * 2006-06-30 2011-12-27 Aperio Technologies, Inc. Method for storing and retrieving large images via DICOM
US8126776B2 (en) 2006-06-30 2012-02-28 Rearden Commerce, Inc. Method and systems for personal restaurant assistant
US7877373B2 (en) * 2006-06-30 2011-01-25 Oracle International Corporation Executing alternative plans for a SQL statement
US8712884B2 (en) 2006-10-06 2014-04-29 Syncada Llc Transaction finance processing system and approach
US7966213B2 (en) 2006-10-16 2011-06-21 Rearden Commerce, Inc. System and method for automatic review of travel changes and improved suggestions and rules set
US8326819B2 (en) 2006-11-13 2012-12-04 Exegy Incorporated Method and system for high performance data metatagging and data indexing using coprocessors
US7660793B2 (en) * 2006-11-13 2010-02-09 Exegy Incorporated Method and system for high performance integration, processing and searching of structured and unstructured data using coprocessors
US20080120248A1 (en) * 2006-11-16 2008-05-22 Claus Peter Roehr Currency transaction process
US20080243510A1 (en) * 2007-03-28 2008-10-02 Smith Lawrence C Overlapping screen reading of non-sequential text
WO2008143855A2 (en) * 2007-05-14 2008-11-27 Dataupia, Inc. Network-attached storage devices
US8112358B2 (en) * 2007-06-04 2012-02-07 Qualcomm Atheros, Inc. Authorizing customer premise equipment on a sub-network
US8903801B2 (en) 2007-09-14 2014-12-02 Oracle International Corporation Fully automated SQL tuning
US8341178B2 (en) 2007-09-18 2012-12-25 Oracle International Corporation SQL performance analyzer
US8335767B2 (en) 2007-10-17 2012-12-18 Oracle International Corporation Maintaining and utilizing SQL execution plan histories
US8438152B2 (en) * 2007-10-29 2013-05-07 Oracle International Corporation Techniques for bushy tree execution plans for snowstorm schema
US7650310B2 (en) * 2007-10-30 2010-01-19 Intuit Inc. Technique for reducing phishing
CA2705487A1 (en) * 2007-11-28 2009-06-04 Barrick Gold Corporation Microbial pre-treatment of double refractory gold ores
US10229453B2 (en) 2008-01-11 2019-03-12 Ip Reservoir, Llc Method and system for low latency basket calculation
US8751337B2 (en) 2008-01-25 2014-06-10 Syncada Llc Inventory-based payment processing system and approach
US8615490B1 (en) 2008-01-31 2013-12-24 Renew Data Corp. Method and system for restoring information from backup storage media
US20090276363A1 (en) * 2008-05-01 2009-11-05 Robert Newhouse Trading platform with automated negotiation and option crossing
US20100121753A1 (en) * 2008-06-11 2010-05-13 David Harris System and method for hosting a plurality of trading algorithms on an exchange
CN101639792B (en) * 2008-07-29 2016-04-06 阿里巴巴集团控股有限公司 One kind of concurrent data processing method, an electronic device and a billing system
US8380601B2 (en) * 2008-08-29 2013-02-19 Jpmorgan Chase Bank, N.A. System for and method of international pooling
EP2370946A4 (en) 2008-12-15 2012-05-30 Exegy Inc Method and apparatus for high-speed processing of financial market depth data
US20100250415A1 (en) * 2009-03-30 2010-09-30 Edson Silva Systems, methods and machine-readable mediums for managing commitments and account receivables
US8868460B2 (en) * 2009-09-15 2014-10-21 Chicago Mercantile Exchange Inc. Accelerated trade matching using speculative parallel processing
US8805737B1 (en) * 2009-11-02 2014-08-12 Sas Institute Inc. Computer-implemented multiple entity dynamic summarization systems and methods
US8892762B2 (en) * 2009-12-15 2014-11-18 International Business Machines Corporation Multi-granular stream processing
US8819183B2 (en) * 2009-12-15 2014-08-26 International Business Machines Corporation Concurrent execution of request processing and analytics of requests
US8874638B2 (en) * 2009-12-15 2014-10-28 International Business Machines Corporation Interactive analytics processing
US8738668B2 (en) 2009-12-16 2014-05-27 Renew Data Corp. System and method for creating a de-duplicated data set
US9208527B2 (en) * 2010-01-29 2015-12-08 Oracle International Corporation General ledger (GL) journal delete/accounting line reversal web service
US10073844B1 (en) * 2010-11-24 2018-09-11 Federal Home Loan Mortgage Corporation (Freddie Mac) Accelerated system and method for providing data correction
JP6045505B2 (en) 2010-12-09 2016-12-14 アイピー レザボア,エルエルシー.IP Reservoir, LLC. A method and apparatus for managing the order in financial markets
US10121196B2 (en) 2012-03-27 2018-11-06 Ip Reservoir, Llc Offload processing of data packets containing financial market data
US9990393B2 (en) 2012-03-27 2018-06-05 Ip Reservoir, Llc Intelligent feed switch
FR3001816B1 (en) * 2013-02-05 2015-03-06 Thales Sa System multi-user information processing processor
US9947061B2 (en) * 2013-11-05 2018-04-17 ProtecRx, LLC Healthcare information management via financial networks
US9922300B2 (en) * 2013-11-26 2018-03-20 Sap Se Enterprise performance management planning operations at an enterprise database
US9870390B2 (en) 2014-02-18 2018-01-16 Oracle International Corporation Selecting from OR-expansion states of a query

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5668897A (en) * 1994-03-15 1997-09-16 Stolfo; Salvatore J. Method and apparatus for imaging, image processing and data compression merge/purge techniques for document image databases
US5875437A (en) * 1987-04-15 1999-02-23 Proprietary Financial Products, Inc. System for the operation and management of one or more financial accounts through the use of a digital communication and computation system for exchange, investment and borrowing

Family Cites Families (61)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3697693A (en) 1970-03-11 1972-10-10 Data Card Corp System for maintaining the status of credit accounts
JPS5099799A (en) 1973-12-29 1975-08-07
US4412287A (en) * 1975-05-29 1983-10-25 Braddock Iii Walter D Automated stock exchange
US4025905A (en) 1975-11-28 1977-05-24 Incoterm Corporation System for on-line processing of banking transactions
US4321672A (en) 1979-11-26 1982-03-23 Braun Edward L Financial data processing system
US4625276A (en) 1983-08-31 1986-11-25 Vericard Corporation Data logging and transfer system using portable and resident units
US4621326A (en) 1984-03-14 1986-11-04 Docutel/Olivetti Corporation Method of reducing customer transaction time in an automatic teller machine by parallel processing of sequence events
US4642767A (en) * 1984-04-23 1987-02-10 Moisey Lerner Bookkeeping and accounting system
US4727243A (en) 1984-10-24 1988-02-23 Telenet Communications Corporation Financial transaction system
US4774664A (en) * 1985-07-01 1988-09-27 Chrysler First Information Technologies Inc. Financial data processing system and method
US4713761A (en) 1985-07-18 1987-12-15 Pitney Bowes, Inc. System for centralized processing of accounting and payment functions
US5222018A (en) 1985-07-18 1993-06-22 Pitney Bowes Inc. System for centralized processing of accounting and payment functions
DE3687527T2 (en) 1986-04-14 1993-05-13 Avicom International Inc Vorgangsueberwachungs- and safety control system.
US5093787A (en) 1986-06-12 1992-03-03 Simmons John C Electronic checkbook with automatic reconciliation
US4994964A (en) 1987-04-16 1991-02-19 L & C Family Partnership Transaction tracking data processing system
US5121945A (en) 1988-04-20 1992-06-16 Remittance Technology Corporation Financial data processing system
US4948174A (en) 1988-04-20 1990-08-14 Remittance Technology Corporation Financial data processing system
US5025373A (en) 1988-06-30 1991-06-18 Jml Communications, Inc. Portable personal-banking system
US5237498A (en) * 1988-07-08 1993-08-17 Hitachi, Ltd. System and method for computing profits for individual entities of an entity group via use of means to retrieve and process data for specific entities
US5496991A (en) 1989-02-09 1996-03-05 Delfer, Iii; Frank W. Automated remittance system
US5305196A (en) 1989-05-01 1994-04-19 Credit Verification Corporation Check transaction processing, database building and marketing method and system utilizing automatic check reading
US5621812A (en) 1989-05-01 1997-04-15 Credit Verification Corporation Method and system for building a database for use with selective incentive marketing in response to customer shopping histories
US5117356A (en) 1989-07-28 1992-05-26 Dns, Inc. Automated ledger account maintenance system
US5170480A (en) 1989-09-25 1992-12-08 International Business Machines Corporation Concurrently applying redo records to backup database in a log sequence using single queue server per queue at a time
US5610815A (en) 1989-12-11 1997-03-11 Caterpillar Inc. Integrated vehicle positioning and navigation system, apparatus and method
US5438517A (en) 1990-02-05 1995-08-01 Caterpillar Inc. Vehicle position determination system and method
US5646845A (en) 1990-02-05 1997-07-08 Caterpillar Inc. System and method for controlling an autonomously navigated vehicle
US5317733A (en) 1990-01-26 1994-05-31 Cisgem Technologies, Inc. Office automation system for data base management and forms generation
US5390113A (en) 1990-04-05 1995-02-14 Sampson; Wesley C. Method and electronic apparatus for performing bookkeeping
US5262942A (en) 1990-06-05 1993-11-16 Bankers Trust Company Financial transaction network
US5438509A (en) 1991-02-07 1995-08-01 Heffron; Donald J. Transaction processing in a distributed data processing system
US5287501A (en) * 1991-07-11 1994-02-15 Digital Equipment Corporation Multilevel transaction recovery in a database system which loss parent transaction undo operation upon commit of child transaction
JPH05113879A (en) * 1991-10-23 1993-05-07 T A S Tsusho Kk Program creation and data processing method
US5453601A (en) 1991-11-15 1995-09-26 Citibank, N.A. Electronic-monetary system
US5452445A (en) 1992-04-30 1995-09-19 Oracle Corporation Two-pass multi-version read consistency
AU5538494A (en) 1992-10-30 1994-05-24 Microbilt Corporation Multi-reader transaction terminal
US5581749A (en) 1992-12-21 1996-12-03 Thedow Chemical Company System and method for maintaining codes among distributed databases using a global database
DE69429686T2 (en) * 1993-02-25 2003-04-30 Sun Microsystems Inc Transaction management system in object
US5420405A (en) 1993-02-26 1995-05-30 Chasek; Norman E. Secure, automated transaction system that supports an electronic currency operating in mixed debit & credit modes
GB2276737A (en) 1993-03-30 1994-10-05 Ibm Fault-tolerant transaction-oriented data processing
US5418713A (en) 1993-08-05 1995-05-23 Allen; Richard Apparatus and method for an on demand data delivery system for the preview, selection, retrieval and reproduction at a remote location of previously recorded or programmed materials
US5774879A (en) * 1993-12-27 1998-06-30 First Data Corporation Automated financial instrument processing system
US5864685A (en) * 1994-02-28 1999-01-26 Hagan; Bernard P. Increasing income trust computer transaction system and insured investment account system
US5557742A (en) 1994-03-07 1996-09-17 Haystack Labs, Inc. Method and system for detecting intrusion into and misuse of a data processing system
US5457305A (en) 1994-03-31 1995-10-10 Akel; William S. Distributed on-line money access card transaction processing system
US5500513A (en) 1994-05-11 1996-03-19 Visa International Automated purchasing control system
US5652570A (en) 1994-05-19 1997-07-29 Lepkofker; Robert Individual location system
US5630073A (en) 1994-07-25 1997-05-13 Nolan; Jon D. Personal account tracking system
US5630072A (en) 1994-08-30 1997-05-13 Dobbins; Larry D. Relia process: integrated relational object unit identification and location addressing processes
US5517406A (en) 1994-09-01 1996-05-14 The Shareholder Services Group, Inc. Method and apparatus for data verification and position reporting in an automated trade transactions processing system
JPH08101867A (en) 1994-09-30 1996-04-16 Fujitsu Ltd Software use permission system
US5634012A (en) 1994-11-23 1997-05-27 Xerox Corporation System for controlling the distribution and use of digital works having a fee reporting mechanism
JPH10512985A (en) * 1995-01-23 1998-12-08 タンデム コンピューターズ インコーポレイテッド Keep track of the status of the transaction
US5576945A (en) 1995-01-23 1996-11-19 Tandem Computers Incorporated Transaction monitor process with pre-arranged modules for a multiprocessor system
US5684977A (en) * 1995-03-31 1997-11-04 Sun Microsystems, Inc. Writeback cancellation processing system for use in a packet switched cache coherent multiprocessor system
US5657472A (en) * 1995-03-31 1997-08-12 Sun Microsystems, Inc. Memory transaction execution system and method for multiprocessor system having independent parallel transaction queues associated with each processor
US5655100A (en) * 1995-03-31 1997-08-05 Sun Microsystems, Inc. Transaction activation processor for controlling memory transaction execution in a packet switched cache coherent multiprocessor system
US5657487A (en) 1995-06-05 1997-08-12 Airnet Communications Corporation Mobile telephone location process making use of handoff data
JPH0973337A (en) * 1995-09-05 1997-03-18 Canon Inc Charging device, information reception device, and communication system
US5862325A (en) * 1996-02-29 1999-01-19 Intermind Corporation Computer-based communication system and method using metadata defining a control structure
US6442533B1 (en) * 1997-10-29 2002-08-27 William H. Hinkle Multi-processing financial transaction processing system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5875437A (en) * 1987-04-15 1999-02-23 Proprietary Financial Products, Inc. System for the operation and management of one or more financial accounts through the use of a digital communication and computation system for exchange, investment and borrowing
US5668897A (en) * 1994-03-15 1997-09-16 Stolfo; Salvatore J. Method and apparatus for imaging, image processing and data compression merge/purge techniques for document image databases

Cited By (47)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8112395B2 (en) 2001-08-03 2012-02-07 Emc Corporation Systems and methods for providing a distributed file system utilizing metadata to track information about data stored throughout the system
US20050120032A1 (en) * 2003-10-30 2005-06-02 Gunther Liebich Systems and methods for modeling costed entities and performing a value chain analysis
US8996494B2 (en) * 2003-10-30 2015-03-31 Sap Se Systems and methods for modeling costed entities and performing a value chain analysis
US8706707B2 (en) * 2003-10-30 2014-04-22 Sap Ag Systems and methods for modeling costed entities and performing a value chain analysis
US20140180750A1 (en) * 2003-10-30 2014-06-26 Sap Ag Systems and methods for modeling costed entities and performing a value chain analysis
US8140623B2 (en) 2004-10-29 2012-03-20 Emc Corporation Non-blocking commit protocol systems and methods
US8238350B2 (en) 2004-10-29 2012-08-07 Emc Corporation Message batching with checkpoints systems and methods
US8055711B2 (en) 2004-10-29 2011-11-08 Emc Corporation Non-blocking commit protocol systems and methods
US8051425B2 (en) 2004-10-29 2011-11-01 Emc Corporation Distributed system with asynchronous execution systems and methods
US8176013B2 (en) 2005-10-21 2012-05-08 Emc Corporation Systems and methods for accessing and updating distributed data
US8214400B2 (en) 2005-10-21 2012-07-03 Emc Corporation Systems and methods for maintaining distributed data
US8054765B2 (en) 2005-10-21 2011-11-08 Emc Corporation Systems and methods for providing variable protection
US8214334B2 (en) 2005-10-21 2012-07-03 Emc Corporation Systems and methods for distributed system scanning
US20110035412A1 (en) * 2005-10-21 2011-02-10 Isilon Systems, Inc. Systems and methods for maintaining distributed data
US8625464B2 (en) 2006-02-17 2014-01-07 Emc Corporation Systems and methods for providing a quiescing protocol
US8005865B2 (en) 2006-03-31 2011-08-23 Emc Corporation Systems and methods for notifying listeners of events
US8010493B2 (en) 2006-08-18 2011-08-30 Emc Corporation Systems and methods for a snapshot of data
US8027984B2 (en) 2006-08-18 2011-09-27 Emc Corporation Systems and methods of reverse lookup
US8356013B2 (en) 2006-08-18 2013-01-15 Emc Corporation Systems and methods for a snapshot of data
US20090327218A1 (en) * 2006-08-18 2009-12-31 Passey Aaron J Systems and Methods of Reverse Lookup
US8015156B2 (en) 2006-08-18 2011-09-06 Emc Corporation Systems and methods for a snapshot of data
US8380689B2 (en) 2006-08-18 2013-02-19 Emc Corporation Systems and methods for providing nonlinear journaling
US8356150B2 (en) 2006-08-18 2013-01-15 Emc Corporation Systems and methods for providing nonlinear journaling
US20100145851A1 (en) * 2006-12-18 2010-06-10 Fundamo (Proprietary) Limited Transaction system with enhanced instruction recognition
US8286029B2 (en) 2006-12-21 2012-10-09 Emc Corporation Systems and methods for managing unavailable storage devices
US20080155191A1 (en) * 2006-12-21 2008-06-26 Anderson Robert J Systems and methods for providing heterogeneous storage systems
US8060521B2 (en) 2006-12-22 2011-11-15 Emc Corporation Systems and methods of directory entry encodings
US8082379B2 (en) 2007-01-05 2011-12-20 Emc Corporation Systems and methods for managing semantic locks
US8966080B2 (en) 2007-04-13 2015-02-24 Emc Corporation Systems and methods of managing resource utilization on a threaded computer system
US7900015B2 (en) 2007-04-13 2011-03-01 Isilon Systems, Inc. Systems and methods of quota accounting
US8195905B2 (en) 2007-04-13 2012-06-05 Emc Corporation Systems and methods of quota accounting
US8015216B2 (en) 2007-04-13 2011-09-06 Emc Corporation Systems and methods of providing possible value ranges
US8200632B2 (en) 2007-08-21 2012-06-12 Emc Corporation Systems and methods for adaptive copy on write
US7966289B2 (en) 2007-08-21 2011-06-21 Emc Corporation Systems and methods for reading objects in a file system
US7949636B2 (en) * 2008-03-27 2011-05-24 Emc Corporation Systems and methods for a read only mode for a portion of a storage system
US8788374B2 (en) 2009-08-07 2014-07-22 Alibaba Group Holding Limited Method and system for account parallel processing
CN101989213A (en) * 2009-08-07 2011-03-23 阿里巴巴集团控股有限公司 Account concurrent processing method and account concurrent processing system
WO2011016957A1 (en) * 2009-08-07 2011-02-10 Alibaba Group Holding Limited Method and system for account parallel processing
US8229809B2 (en) 2009-11-03 2012-07-24 Hartford Fire Insurance Company System and method for use in management of financial assets
US20110106670A1 (en) * 2009-11-03 2011-05-05 Hartford Fire Insurance Company System and method for use in management of financial assets
US8478666B2 (en) 2009-11-03 2013-07-02 Hartford Fire Insurance Company System and method for processing data related to management of financial assets
TWI501171B (en) * 2010-03-08 2015-09-21 Alibaba Group Holding Ltd
US20140012724A1 (en) * 2011-03-23 2014-01-09 Detica Patent Limited Automated fraud detection method and system
US20130151391A1 (en) * 2011-12-09 2013-06-13 Jerome Simonoff System and Method for Delaying Execution of Financial Transactions
US9792651B2 (en) * 2011-12-09 2017-10-17 Fair Trading Devices Llc System and method for delaying execution of financial transactions
US20140214647A1 (en) * 2011-12-09 2014-07-31 Jerome Simonoff System and Method for Delaying Execution of Financial Transactions
CN104317963A (en) * 2014-11-14 2015-01-28 中国建设银行股份有限公司 Method and device for processing data

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