CN109697602B - Data processing system for checking fees - Google Patents
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Abstract
The invention discloses a data processing system for checking fees, which comprises a basic platform layer, a data resource layer, an application supporting layer, a system application layer and a presentation layer, wherein the basic platform layer is used for storing data; the system application layer comprises: the data acquisition subsystem is used for acquiring basic data to obtain audit data; the target subsystem is used for dynamically monitoring the actual value of the audit data and comparing the actual value with the target value of the audit data to determine the difference between the actual value and the target value; the file subsystem is used for determining and storing the audit data and sending the audit data to the risk early warning subsystem after detecting abnormal data; the risk early warning subsystem is used for monitoring the abnormal data and carrying out risk analysis and early warning; the performance subsystem is used for generating performance data of the user; and the decision analysis subsystem is used for carrying out real-time statistical analysis on the audit data and generating an analysis report. The invention carries out systematic statistical analysis on the acquired data, and identifies and disposes the identified risk items, thereby reducing the risk in the payment collection process.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data processing system for payment collection.
Background
Along with the continuous development of the service of the expense levying, the monitoring and data analysis of the expense levying become more and more important, the levying behavior can be effectively standardized and the working flow can be optimized through the monitoring and data analysis, although some data analysis systems exist in the prior art, the data analysis systems are difficult to adapt to the levying data obtained by the work of the expense levying;
due to the lack of a data processing system specially aiming at the regulation check, the data required to be stored and acquired in the regulation check process are difficult to realize timely interaction and sharing, so that the charging management system in the prior art causes the working efficiency of the regulation check to be low and cannot carry out system analysis on a large amount of data acquired in the regulation check process, a user is difficult to make a correct decision, and even causes great risk in the regulation check process.
Disclosure of Invention
The invention aims to solve the problems in the prior art, and provides a data processing system for the expense assessment, which is realized on the basis of a risk quantitative closed loop, can acquire and monitor data in the expense assessment in real time, discover abnormal data acquired in time and give an alarm, and can perform statistical analysis on the expense assessment data and generate an analysis report.
In order to achieve the purpose, the invention adopts the technical scheme that:
a data processing system for expense assessment comprises a basic platform layer, a data resource layer, an application support layer, a system application layer and a presentation layer;
the basic platform layer is used for providing a basic data platform and comprises a basic software layer, a hardware layer, an operating system and a basic network layer;
the data resource layer is used for acquiring data from a system database;
the application support layer is used for preprocessing the data acquired by the data resource layer and providing the data to the system application layer;
the display layer provides various interfaces for interaction with a user;
the system application layer comprises a data acquisition subsystem, a target subsystem, a file subsystem, a risk early warning subsystem, a performance subsystem and a decision analysis subsystem; wherein
The data acquisition subsystem is used for acquiring basic data, cleaning and converting the basic data to obtain audit data, and storing the audit data for the archive subsystem, the risk early warning subsystem, the performance subsystem and the decision analysis subsystem to call;
the target subsystem is used for dynamically monitoring the actual value of the audit data and comparing the actual value with the target value of the audit data to determine the difference between the actual value and the target value;
the archive subsystem is used for determining and storing audit data and sending the audit data to the risk early warning subsystem after detecting abnormal data;
the risk early warning subsystem is used for monitoring the abnormal data and carrying out risk analysis and early warning;
the performance subsystem is used for generating performance data of the user;
and the decision analysis subsystem is used for carrying out real-time statistical analysis on the audit data and generating an analysis report.
Further, the system database comprises a business database, a switching database and a data warehouse;
the service database is used for storing service data for supporting the operation of the data processing system;
the exchange database is used for storing and/or receiving the service data and realizing data exchange between the exchange database and the application support layer;
and the data warehouse is used for extracting data in the business database and the exchange database.
Furthermore, the application support layer comprises an enterprise service bus, a service flow component, a unified authentication component, a data remote synchronization middleware, a data exchange middleware and a data analysis component;
the business process assembly is used for integrating business processes among the data acquisition subsystem, the target subsystem, the archive subsystem, the risk early warning subsystem, the performance subsystem and the decision analysis subsystem;
the uniform authentication component is used for realizing application security management based on uniform authentication;
the data remote synchronization middleware is used for realizing remote transmission of audit data;
the data exchange middleware is used for realizing data exchange between the data processing system and an external system;
and the data analysis component is used for analyzing the audit data extracted by the data warehouse and generating an analysis report.
Furthermore, the data acquisition subsystem comprises a data source analysis module, a data acquisition module, a data cleaning/conversion module and a data storage module;
the data source analysis module is used for analyzing the basic data to acquire first target data;
the data acquisition module is used for acquiring the first target data;
the data cleaning/converting module is used for cleaning and converting the first target data to obtain second target data;
the data storage module is used for storing the second target data into a file subsystem, a risk early warning subsystem, a performance subsystem and a decision analysis subsystem.
Further, the target subsystem comprises a target formulation module, a target decomposition module, a target monitoring module and a target analysis module;
the target formulation module is used for formulating the current target of the user;
the target decomposition module decomposes the current target of the user according to the historical target of the user and the current target of the user to obtain a decomposition target;
the target monitoring module is used for monitoring relevant data of a user current target of the target formulation module, a decomposition target of the target decomposition module and the like, and adjusting the user current target according to a target change request instruction received by the data processing system;
and the target analysis module analyzes the data according to the current target and the historical target of the user to generate a target analysis report.
Further, the risk early warning subsystem comprises a risk reference data module, a risk early warning module and a risk handling module;
the risk reference data module is used for establishing a risk reference data index library; the risk early warning module is used for alarming the identified risk items;
the risk treatment module is used for performing treatment operation on the risk item.
Further, the risk reference data module comprises a risk classification module, a risk maintenance module and a risk auditing module;
the risk classification module is used for classifying risks;
the risk maintenance module is used for adding, modifying and/or deleting risk characteristics;
the risk auditing module is used for automatically auditing risks.
Further, the performance subsystem comprises a reference audit data module, a performance planning module, a performance assessment module and a performance feedback module;
the reference audit data module is used for storing performance reference audit data;
the performance planning module is used for creating a performance examination table, and the performance examination table comprises examination objects and examination indexes;
the performance assessment module obtains a performance score according to the performance reference audit data and the performance audit table;
the performance feedback module is used for comparing the performance scores of the current year with the performance scores of a plurality of preset years and generating a performance comparison analysis report.
Furthermore, the decision analysis subsystem comprises a query module, a statistic module and an analysis module;
the query module is used for querying the audit data;
the statistical module is used for counting the audit data;
and the analysis module carries out real-time statistical analysis on the audit data by adopting an OLAP multi-dimensional analysis method and generates an analysis report.
The invention obtains the following beneficial effects:
the system comprises a data acquisition subsystem, a target subsystem, a file subsystem, a risk early warning subsystem, a performance subsystem and a decision analysis subsystem; by establishing the plurality of subsystems, timely interaction and sharing of data can be realized, systematic statistical analysis is carried out on the acquired data, a user can conveniently adjust targets in time and effectively manage files, risk items identified in the data processing system for the regulation audit are identified and disposed, performance data in the data processing system for the regulation audit are analyzed and audited so as to make decisions for the user, and risks in the regulation audit process are reduced.
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The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
FIG. 1 is a block diagram of an embodiment of a data processing system for fee levying according to the present invention.
Detailed Description
The following description is presented to disclose the invention so as to enable any person skilled in the art to practice the invention. The preferred embodiments in the following description are given by way of example only, and other obvious variations will occur to those skilled in the art. The basic principles of the invention, as defined in the following description, may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
It is understood that the terms "a" and "an" should be interpreted as meaning that a number of one element or element is one in one embodiment, while a number of other elements is one in another embodiment, and the terms "a" and "an" should not be interpreted as limiting the number.
The terminology used herein is for the purpose of describing various embodiments only and is not intended to be limiting. As used herein, the singular forms are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, numbers, steps, operations, components, elements, or combinations thereof, but do not preclude the presence or addition of one or more other features, numbers, steps, operations, components, elements, or groups thereof.
Overall architecture of data processing system for fee regulation
FIG. 1 is a block diagram of an overall architecture of an embodiment of a data processing system for fare collection according to the present invention, referring to FIG. 1, the data processing system includes a base platform layer, a data resource layer, an application support layer, a system application layer, and a presentation layer;
the basic platform layer is used for providing a basic data platform and comprises a basic software layer, a hardware layer, an operating system and a basic network layer;
the data resource layer is used for acquiring data from a system database;
the application support layer is used for preprocessing the data acquired by the data resource layer and providing the data to the system application layer;
the display layer provides various interfaces for interaction with a user;
the system application layer comprises a data acquisition subsystem, a target subsystem, a file subsystem, a risk early warning subsystem, a performance subsystem and a decision analysis subsystem; wherein
The data acquisition subsystem is used for acquiring basic data, cleaning and converting the basic data to obtain audit data, and storing the audit data for the archive subsystem, the risk early warning subsystem, the performance subsystem and the decision analysis subsystem to call;
the target subsystem is used for dynamically monitoring the actual value of the audit data and comparing the actual value with the target value of the audit data to determine the difference between the actual value and the target value,
the archive subsystem is used for determining and storing audit data and sending the audit data to the risk early warning subsystem after detecting abnormal data;
the risk early warning subsystem is used for monitoring the abnormal data and carrying out risk analysis and early warning;
the performance subsystem is used for generating performance data of the user;
and the decision analysis subsystem is used for carrying out real-time statistical analysis on the audit data and generating an analysis report.
Second, detailed description of data processing system for payment collection
The following describes a data processing system for checking fees specifically with reference to fig. 1, where the data processing system includes a base platform layer, a data resource layer, an application support layer, a system application layer, and a presentation layer;
basic platform layer
The basic platform layer is used for providing a basic platform for the data resource layer, the basic platform layer comprises basic software (including database software, office software and the like), hardware (including WEB servers, application servers, database servers and the like), an operating system and a basic network (such as network links, switches and routers), and the basic platform layer is a basic support for efficient and stable operation of the whole data processing system for expense assessment.
(II) data resource layer
The data resource layer is constructed on the basic platform layer and used for collecting data of the database; and providing data information resources for the application support layer; the data resource layer can realize data exchange based on an Enterprise Service Bus (ESB) through a data exchange platform;
the database comprises a business database, an exchange database and a data warehouse;
the service database is used for storing service data supporting the operation of the data processing system, namely, audit data, wherein the audit data comprises data in tables such as a fee collection data table, an examination index table, an examination result table, an item design table, a target examination schedule table, an examination index weight setting table and the like;
the exchange database is used for storing and/or receiving the service data and realizing data exchange between the exchange database and the application support layer;
the data warehouse is used for extracting data in the business database and the exchange database, and specifically, the data warehouse can extract data from statistical reports such as financial data, bill information, audit data and the like, and store the extracted new data into the data warehouse for query statistics.
(III) application support layer
The application support layer is used for sorting the data acquired by the data resource layer and providing service support for the system application layer;
the application supporting layer comprises an enterprise service bus, a service flow component, a unified authentication component, a data remote synchronous middleware, a data exchange middleware and a data analysis component;
1. an Enterprise Service Bus (ESB) is a key path for data exchange sharing and business application integration and integration in a data processing system for fee regulation, is mainly used for accessing a heterogeneous system and a data source, converting different protocols, encapsulating standard services, integrating services and the like, and uniformly manages the services; the enterprise service bus can be used for uniformly managing application function services and data services which need to be integrated of the data processing system for the regulation check, so that real-time data acquisition and exchange of the data processing system for the regulation check are realized, and basic support is provided for the data processing system for the regulation check and an external system.
2. The business process component adopts webservice to coordinate and integrate the business processes among the data acquisition subsystem, the target subsystem, the archive subsystem, the risk early warning subsystem, the performance subsystem and the decision analysis subsystem;
the business process component (BPM) is composed of a group of services and tools which can arrange, supervise and control business workflows, and is used for realizing the functions of combining, arranging, executing, monitoring and the like of business work node services on the basis that a service bus encapsulates the functions of an application system into standard services. Based on the enterprise service bus and the business process components, basic function services and complex function services of the data processing system for checking the fees can be arranged and assembled to build a new business process, so that the cooperation and integration of the cross-system and cross-region business processes are realized.
3. The unified authentication component is used for realizing application security management based on unified authentication;
the unified authentication component is composed of an unified user management (IDM) middleware, a CA digital certificate component and the like, is used for realizing application security management based on unified authentication, comprises functions of user management, digital certificate identity authentication, access control, authority management, centralized authentication, single sign-on and the like, and meets security control requirements on information confidentiality, integrity, resistance to denial and the like in a data processing system for payment collection.
4. The data remote synchronization middleware is used for capturing the audit data from the source database and copying the audit data to the destination to realize reliable transmission of the data.
5. The data exchange middleware is used for realizing data exchange between the data processing system for the regulation and audit and an external system; the data format and message format conversion of the data content to be exchanged among the systems is realized through the adaptation of the interfaces and the databases of the application systems, and the data is transmitted reliably, safely and encrypted.
6. The data analysis component is used for analyzing the audit data extracted by the data warehouse and generating an analysis report; the data analysis component comprises an ETL, an OLAP and a data mining tool, provides comprehensive data services of different levels for users, and further provides data support for decision analysis of the users.
(IV) System application layer
The system application layer comprises a data acquisition subsystem, a target subsystem, a file subsystem, a risk early warning subsystem, a performance subsystem and a decision analysis subsystem;
1. data acquisition subsystem
The data acquisition subsystem is used for acquiring basic data, wherein the basic data comprises collection account data, collection amount data, collection unit information, bill information, collection unit information, sponsor information and the like, cleaning and converting the basic data, and storing the converted data into the archive subsystem, the risk early warning subsystem, the performance subsystem and the decision analysis subsystem; wherein either structured or unstructured data may be collected.
The data acquisition subsystem comprises a data source analysis module, a data acquisition module, a data cleaning/conversion module and a data storage module;
(1) the data source analysis module is used for analyzing the basic data to acquire first target data;
(2) the data acquisition module is used for acquiring the first target data;
(3) the data cleaning/converting module is used for cleaning and converting the first target data to obtain second target data;
(4) the data storage module is used for storing the second target data into a file subsystem, a risk early warning subsystem, a performance subsystem and a decision analysis subsystem.
The data acquisition subsystem cleans and converts the acquired basic data to obtain unified data, which is beneficial to sharing data by a plurality of systems and avoids ambiguity in the use data.
2. Target subsystem
The target subsystem is used for dynamically monitoring the actual value of the audit data and comparing the actual value with the target value of the audit data to determine the difference between the actual value and the target value, so that a user can conveniently perform next performance assessment and analysis early warning; the target value is a preset target standard value, the actual value is actual operation data when the data processing system operates, and the target subsystem automatically compares the difference value between the actual operation data and the target standard value when the data processing system operates.
The target subsystem comprises a target formulation module, a target decomposition module, a target monitoring module and a target analysis module.
(1) The target formulation module is used for formulating a current target of a user, wherein the current target of the user comprises target completion quantity, target completion speed and the like;
(2) the target decomposition module can decompose the current target of the user according to the historical target of the user and the current target of the user to obtain a decomposition target; for example, the user target-receipt completion time can be decomposed into decomposition targets such as invoicing time, receipt drawing time, waste ticket processing time and the like;
(3) the target monitoring module is used for monitoring relevant data of a user current target of the target formulation module, a decomposition target of the target decomposition module and the like, and adjusting the user current target according to a target change request instruction received by the data processing system for the payment collection;
(4) and the target analysis module analyzes the data such as the current target of the user, the historical target of the user and the like to generate a target analysis report.
3. Archive subsystem
The file subsystem is used for storing the expiring data of the data processing system for the expense expiring, the expiring data comprises key information such as cargo collection, inspection, bills, funds and the like, the file subsystem comprises a file receiving and processing module, the file receiving and processing module is used for receiving the files of the data acquisition subsystem, screening and identifying the files, and when the received files meet the storage condition, the files are sent to a file organization module; when the abnormal condition is found (namely the received file does not meet the storage condition), the risk early warning subsystem is triggered to work, the file is stopped being sent to the archive organization module, and abnormal data are added into the risk processing log, such as:
the file subsystem can determine the difference between the creation time of the manifest and the audit time of the manifest, and when the difference is judged to be less than or equal to N, the file subsystem sends the creation time of the manifest to the file organization module; if the difference is greater than N, the file subsystem judges that the manifest data is abnormal data, the risk early warning subsystem alarms, stops sending the file to the file organization module, and adds the abnormal data to a risk processing log, for example, in this embodiment, N may take a value of 72 hours; it is understood that in other embodiments, N may also take other values, which are not limited herein;
or the file subsystem can count the number of the audit tickets, and if the number of the audit tickets is greater than or equal to a preset value M, the file subsystem sends the number of the audit tickets to the file organization module; if the number of the audit tickets is smaller than a preset value M, the file subsystem judges that the number of the audit tickets is abnormal data, the risk early warning subsystem alarms and stops sending files to the file organization module, and the abnormal data is added into a risk processing log;
or the archive subsystem can judge whether the system stores preset related files, if the files are missing, the information is recorded as abnormal data, and the risk early warning subsystem gives an alarm to add the abnormal data into the risk processing log.
Through establishing the file subsystem, the electronic file management is carried out on the data in the checking process, so that the traditional file management realizes the whole life cycle management of collection, establishment, storage, editing, cataloguing, inquiry, destruction and the like.
4. Risk early warning subsystem
The risk early warning subsystem is used for monitoring and analyzing abnormal data sent by the archive subsystem; the risk early warning subsystem is established, and abnormal data of the data processing system for the payment levying is detected, so that early warning or disposal is carried out.
The risk early warning subsystem comprises a risk reference data module, a risk early warning module and a risk handling module;
(1) the risk reference data module is used for establishing a risk reference data index library; the risk reference data module can establish three index libraries (a prompt index library, a posterior database and a blocking database) for different reference data in advance, for example:
a. when the credit line exceeds the numerical value predicted by the collecting agency, the risk reference data module puts the data into a prompt index library;
b. after the credit line of the modern receiving unit is used, the risk reference data module puts the data into a post database;
c. when the collection agency changes the credit line, the risk reference data module puts the data into the blocking database.
The risk reference data module can comprise a risk classification module, a risk maintenance module and a risk auditing module; the risk classification module is used for classifying risks, and can classify the risks into bill risks, collection operation risks, fund risks, system risks and the like; the risk maintenance module is used for adding, modifying and/or deleting risk characteristics, such as risk characteristics of bill risks including red word reimbursement, which are not reopened within a preset time; carrying out red character punching and canceling after exceeding the preset time; the number of the bill punching pins exceeds the set number in the preset time, and the like; the risk auditing module is used for automatically auditing the service data and identifying whether various risks exist in the service data;
(2) the risk early warning module is used for alarming the identified risk items; and after the risk early warning work is finished, the risk early warning module stores the service data to the file receiving and processing module.
(3) The risk treatment module is used for performing treatment operation on the risk item. The treatment operations herein may include, for example: ignoring risk and modifying risk terms to non-risk terms, or marking risk terms as critical risk terms.
5. Performance subsystem
The performance subsystem is used for acquiring performance data of the user; the performance subsystem comprises a reference audit data module, a performance planning module, a performance assessment module and a performance feedback module;
the reference audit data module is used for storing performance reference audit data; the reference audit data in the embodiment comprises data such as the number, time, audit times and the like of the recorded/audited/confirmed/audited bills;
the performance planning module is used for creating a performance examination table, and the performance examination table comprises examination objects and examination indexes;
the performance assessment module determines a performance score according to the performance reference audit data and the performance audit table;
the performance feedback module is used for comparing the performance scores of the current year with the performance scores of a plurality of preset years and generating a performance comparison analysis report.
The performance subsystem can acquire the performance data of the user and generate a performance comparison analysis report so as to realize the performance assessment of the data processing system for the expense assessment.
6. Decision analysis subsystem
The decision analysis subsystem is used for carrying out real-time statistical analysis on the audit data and generating an analysis report; the decision analysis subsystem comprises a query module, a statistic module and an analysis module;
the query module is used for querying the audit data;
the statistical module is used for counting the audit data;
the analysis module carries out real-time statistical analysis on the audit data by adopting an OLAP multi-dimensional analysis method and generates an analysis report, wherein the audit data comprises data such as the number, time, audit times and the like of input/audit/confirmation/audit bills.
(V) a presentation layer
The presentation layer is used for presenting the unified access entry and the integrated front end of the data processing system and providing various interfaces for interaction with users.
The invention has the beneficial effects that:
the system comprises a data acquisition subsystem, a target subsystem, a file subsystem, a risk early warning subsystem, a performance subsystem and a decision analysis subsystem; by establishing the plurality of subsystems, timely interaction and sharing of data can be realized, systematic statistical analysis is carried out on the acquired data, a user can conveniently adjust targets in time and effectively manage files, risk items identified in the data processing system for the regulation audit are identified and disposed, performance data in the data processing system for the regulation audit are analyzed and audited so as to make decisions for the user, and risks in the regulation audit process are reduced.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction. It is to be noted that the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in an acquisition machine-readable storage medium. Based on such understanding, the technical solution of the present invention or a part thereof, which essentially contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing an obtaining machine (which may be a personal obtaining machine, a server, or a network machine) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (6)
1. A data processing system for expense assessment comprises a basic platform layer, a data resource layer, an application support layer, a system application layer and a presentation layer; the method is characterized in that:
the basic platform layer is used for providing a basic data platform and comprises a basic software layer, a hardware layer, an operating system and a basic network layer;
the data resource layer is used for acquiring data from a system database;
the system database comprises a business database, an exchange database and a data warehouse;
the system application layer comprises a data acquisition subsystem, a target subsystem, a file subsystem, a risk early warning subsystem, a performance subsystem and a decision analysis subsystem;
the application support layer is used for preprocessing the data acquired by the data resource layer and providing the data to the system application layer; the application supporting layer comprises an enterprise service bus, a service flow component, a unified authentication component, a data remote synchronous middleware, a data exchange middleware and a data analysis component;
the business process assembly is used for integrating business processes among the data acquisition subsystem, the target subsystem, the archive subsystem, the risk early warning subsystem, the performance subsystem and the decision analysis subsystem;
the uniform authentication component is used for realizing application security management based on uniform authentication;
the data remote synchronization middleware is used for realizing remote transmission of audit data;
the data exchange middleware is used for realizing data exchange between the data processing system and an external system;
the data analysis component is used for analyzing the audit data extracted by the data warehouse and generating an analysis report;
the display layer provides various interfaces for interaction with a user;
the data acquisition subsystem is used for acquiring basic data, cleaning and converting the basic data to obtain audit data, and storing the audit data for the archive subsystem, the risk early warning subsystem, the performance subsystem and the decision analysis subsystem to call;
the target subsystem is used for dynamically monitoring the actual value of the audit data and comparing the actual value with the target value of the audit data to determine the difference between the actual value and the target value;
the archive subsystem is used for determining and storing audit data and sending the audit data to the risk early warning subsystem after detecting abnormal data;
the risk early warning subsystem is used for monitoring the abnormal data and carrying out risk analysis and early warning; the risk early warning subsystem comprises a risk reference data module, a risk early warning module and a risk handling module; the risk reference data module is used for establishing a risk reference data index library, the risk reference data module comprises a risk classification module, a risk maintenance module and a risk auditing module, the risk classification module is used for classifying risks, the risk maintenance module is used for adding, modifying and/or deleting risk characteristics, and the risk auditing module is used for automatically auditing the risks; the risk early warning module is used for alarming the identified risk items; the risk treatment module is used for performing treatment operation on the risk item;
the performance subsystem is used for generating performance data of the user;
and the decision analysis subsystem is used for carrying out real-time statistical analysis on the audit data and generating an analysis report.
2. The data processing system of claim 1,
the service database is used for storing service data for supporting the operation of the data processing system;
the exchange database is used for storing and/or receiving the service data and realizing data exchange between the exchange database and the application support layer;
and the data warehouse is used for extracting data in the business database and the exchange database.
3. The data processing system of claim 1, wherein:
the data acquisition subsystem comprises a data source analysis module, a data acquisition module, a data cleaning/conversion module and a data storage module;
the data source analysis module is used for analyzing the basic data to acquire first target data;
the data acquisition module is used for acquiring the first target data;
the data cleaning/converting module is used for cleaning and converting the first target data to obtain second target data;
the data storage module is used for storing the second target data into a file subsystem, a risk early warning subsystem, a performance subsystem and a decision analysis subsystem.
4. The data processing system of claim 1, wherein:
the target subsystem comprises a target formulation module, a target decomposition module, a target monitoring module and a target analysis module;
the target formulation module is used for formulating the current target of the user;
the target decomposition module decomposes the current target of the user according to the historical target of the user and the current target of the user to obtain a decomposition target;
the target monitoring module is used for monitoring relevant data of a user current target of the target formulation module, a decomposition target of the target decomposition module and the like, and adjusting the user current target according to a target change request instruction received by the data processing system;
and the target analysis module analyzes the data according to the current target and the historical target of the user to generate a target analysis report.
5. The data processing system of claim 1, wherein:
the performance subsystem comprises a reference audit data module, a performance planning module, a performance assessment module and a performance feedback module;
the reference audit data module is used for storing performance reference audit data;
the performance planning module is used for creating a performance examination table, and the performance examination table comprises examination objects and examination indexes;
the performance assessment module obtains a performance score according to the performance reference audit data and the performance audit table;
the performance feedback module is used for comparing the performance scores of the current year with the performance scores of a plurality of preset years and generating a performance comparison analysis report.
6. The data processing system of claim 1, wherein:
the decision analysis subsystem comprises a query module, a statistic module and an analysis module;
the query module is used for querying the audit data;
the statistical module is used for counting the audit data;
and the analysis module carries out real-time statistical analysis on the audit data by adopting an OLAP multi-dimensional analysis method and generates an analysis report.
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