CN111898885B - Collective economic management and supervision system - Google Patents
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Abstract
The invention provides a collective economy management and supervision system, which comprises a communication device, a database, a server, a supervision device, a storage device and a processor, wherein the database is configured to be connected with the server data to form a data processing device, and the data processing device is configured to be used for generating data associated with the collective economy; the communication device is configured to: receiving financial data from a data processing apparatus; sending an instruction to a client; the processor is configured to generate a collective economic profile corresponding to the collective economy based on the data related to the collective economy. The present invention ensures an improvement in overall system processing data and regulatory capabilities by employing a presentation component that generates and communicates alarms to appropriate user's client devices via a server by detecting that monitored data has deviated from prescribed behavior defined by the model, such that the regulatory system adjusts for specific alarm signals.
Description
Technical Field
The invention relates to the technical field of collective economic management, in particular to a collective economic management and supervision system.
Background
The existing collective economic data can not be dynamically connected with an industrial chain scene in real time by means of manual acquisition, and has the defects of low information updating frequency, chain length decision, low efficiency, high cost and the like.
If CN108596527a discloses a dynamic supervision system for financial balance data in the prior art, although the transparency of financial fund management and use is also used for scientific overall planning of financial balance work to a certain extent, the supervision system lacks data interaction of supervision departments, and cannot achieve real-time financial supervision.
Another typical information distribution system disclosed in the prior art such as WO1990002382A1, and a protection system for computer access and use disclosed in the prior art such as US4672572a, lack of supervision on financial funds of a collective economy, various risks exist in the process of use, query service cannot be provided, and quick and effective implementation of related file requirements cannot be guaranteed, and innovative management modes in terms of bank money management, assessment and dynamic monitoring are required to count the financial balance situation in each place in a province, and due to the large data volume required to be counted, the special situation of financial balance cannot be queried at will after the data are sent to government authorities, meanwhile, the service systems of all levels cannot be directly communicated, automatic uploading of service data step by step cannot be realized, more links requiring manual intervention are required in the data acquisition process, the acquisition period is very long, and the timeliness and accuracy of acquired data are also difficult to guarantee.
The invention is made for solving the problems that financial data are too scattered, approval time is long, financial funds are lack of supervision, query cannot be carried out, dynamic supervision is lack and the like in the field.
Disclosure of Invention
The invention aims to provide a collective economic management and supervision system aiming at the defects existing in the current collective economic management and supervision.
In order to overcome the defects in the prior art, the invention adopts the following technical scheme:
A collective economic management and administration system comprising communication means, a database, a server, administration means, a storage device and a processor, the database being structured to form a data processing device in data connection with the server, the data processing device being structured to generate data associated with a collective economic; the communication device is configured to: receiving financial data from the data processing apparatus; sending an instruction to a client; the processor is configured to generate a collective economic profile corresponding to the collective economy based on the data related to the collective economy; the storage device is configured to retrieve historical financial data from the database.
Optionally, the processor is further configured to analyze an overview of the collective economy based on machine learning; and generating the instructions based on the analysis, the communication device for receiving at least one of the financial data, wherein at least one of the financial data includes historical financial data and current financial data; the processor is further configured to perform machine learning based on the historical financial data and analyze the current financial data.
Optionally, the administration device includes an executable component, a device interface component, a metadata generation component, an analysis component, the device interface component configured to receive data file formats formatted according to different files from a data processing device and system; the metadata generation component is configured to generate relationship metadata that identifies dependencies between data items contained in a data file and stores the data items in association with the relationship metadata; the analysis component is configured to generate budget model data based on an analysis of a first subset of data items and a first subset of relational metadata, identifying a database and a budget indicator range for a collective economy associated with a defined production result in a plurality of production cycles.
Optionally, the budget model data records a range of budget indicators and identifies relationship metadata received after the first subset of data items and the first subset of relationship metadata for budget problems associated with the data processing apparatus and system based on a comparison of the budget model data with the second subset and the second subset of data items.
Optionally, the communication means comprises a caching mechanism and real-time control data, the caching mechanism being configured to store real-time control data associated with a data tag defined on the data processing apparatus; the real-time control data includes: the data processing device receives input data from a first subset of the database and output data generated by the data processing device and, based on the input data, transmits to a second subset of the database based on the input data.
Optionally, receiving, by a system comprising a processor, a data file from a database and a server at a data processing device, determining a budget indicator range for the database and the aggregate economy associated with the defined production results in the plurality of production cycles based on an analysis of the first subset of data items and the first subset of relationship metadata; generating budget index model data of a record collective economy;
Identifying a budget issue based on a comparison of the metric model data with a second subset of data items and a second subset of relationship metadata received after the first subset of data items and the first subset of relationship metadata; generating budget model data to record a range of budget indicators; based on a comparison of the budget model data with a second subset of data items and a second subset of relationship metadata received after the first subset of data items, a first subset of budget issue relationship metadata associated with the database and the system is identified.
The beneficial effects obtained by the invention are as follows:
1. The supervision device is used for authorizing access data and classifying the access data respectively, so that the safety of the whole system is effectively ensured;
2. the data interface of each enterprise is interacted by the intervention third party service provider, so that the operation or business income of each enterprise can be inquired by the supervision system, the completeness and high efficiency of supervision are ensured, and the supervision procedure is further saved;
3. by employing a client device that detects that the monitored data has deviated from the prescribed behavior defined by the model, the presentation component generates and communicates the alert via the server to the appropriate user, such that the supervisory system adjusts for the specific alert signal, ensuring an improvement in overall system processing data and supervisory capability;
4. Identifying a risk of failure or inefficiency of the supervisory system by employing analysis of the generated standardized metadata and the associated metadata generated;
5. By adopting the operation of accessing the database through the communication device and processing the data by the data processing device, the data in the database can be ensured to be processed efficiently.
Drawings
The invention will be further understood from the following description taken in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate corresponding parts throughout the different views.
Fig. 1 is a schematic view of a scenario of the present invention.
Fig. 2 is a schematic diagram of a control flow of the supervision system.
Fig. 3 is a schematic diagram of a control flow of the processor.
Fig. 4 is a schematic control flow diagram of the supervision apparatus.
FIG. 5 is a control flow diagram of the budget model.
Fig. 6 is a schematic control flow diagram of the communication device.
Fig. 7 is a schematic diagram of a control flow of the data processing apparatus.
Detailed Description
The technical scheme and advantages of the present invention will become more apparent, and the present invention will be further described in detail with reference to the following examples thereof; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. Other systems, methods, and/or features of the present embodiments will be or become apparent to one with skill in the art upon examination of the following detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description, be within the scope of the invention, and be protected by the accompanying claims. Additional features of the disclosed embodiments are described in, and will be apparent from, the following detailed description.
The same or similar reference numbers in the drawings of embodiments of the invention correspond to the same or similar components; in the description of the present invention, it should be understood that, if there is an orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", etc., based on the orientation or positional relationship shown in the drawings, this is for convenience of description and simplification of the description, rather than to indicate or imply that the apparatus or components referred to must have a specific orientation.
Embodiment one: a collective economic management and administration system comprising communication means, a database, a server, administration means, a storage device and a processor, the database being structured to form a data processing device in data connection with the server, the data processing device being structured to generate data associated with a collective economic; the communication device is configured to: receiving financial data from the data processing apparatus; sending an instruction to a client; the processor is configured to generate a collective economic profile corresponding to the collective economy based on the data related to the collective economy; the storage device is configured to retrieve historical financial data from the database; the processor is further configured to analyze an overview of the collective economy based on machine learning; and generating the instructions based on the analysis, the communication device for receiving at least one of the financial data, wherein at least one of the financial data includes historical financial data and current financial data; the processor is further configured to perform machine learning based on the historical financial data and analyze current financial data; the administration apparatus includes an executable component, a device interface component, a metadata generation component, an analysis component, the device interface component configured to receive data file formats formatted according to different files from a data processing device and system; the metadata generation component is configured to generate relationship metadata that identifies dependencies between data items contained in a data file and stores the data items in association with the relationship metadata; the analysis component is configured to generate budget model data based on an analysis of a first subset of data items and a first subset of relational metadata, identifying a database and a budget indicator range of a collective economy associated with a defined production outcome in a plurality of production cycles; the budget model data records a range of budget indicators and identifies relationship metadata received after a first subset of data items and a first subset of relationship metadata for budget problems associated with the data processing apparatus and system based on a comparison of the budget model data with a second subset and a second subset of data items; the communication means comprises a caching mechanism and real-time control data, the caching mechanism being configured to store real-time control data associated with a data tag defined on the data processing apparatus; the real-time control data includes: input data received by the data processing device from a first subset of the database, and output data generated by the data processing device, and transmitted to a second subset of the database in accordance with the input data; receiving, by a system including a processor, data files from a database and a server at a data processing device, determining a budget indicator range for a database and an aggregate economy associated with a defined production result in a plurality of production cycles based on an analysis of a first subset of data items and a first subset of relationship metadata; generating budget index model data of a record collective economy; identifying a budget issue based on a comparison of the metric model data with a second subset of data items and a second subset of relationship metadata received after the first subset of data items and the first subset of relationship metadata; generating budget model data to record a range of budget indicators; based on a comparison of the budget model data with a second subset of data items and a second subset of relationship metadata received after the first subset of data items, a first subset of budget issue relationship metadata associated with the database and the system is identified.
Embodiment two: this embodiment should be understood to include at least all of the features of any one of the foregoing embodiments, and further improvements thereto, and in particular, to provide a collective economic management and administration system comprising a communication means, a database, a server, an administration means, a storage device, and a processor, the database being configured to be in data connection with the server to form a data processing device, the data processing device being configured to generate data associated with the collective economic; the communication device is configured to: receiving financial data from the data processing apparatus; sending an instruction to a client; the processor is configured to generate a collective economic profile corresponding to the collective economy based on the data related to the collective economy; the storage device is configured to retrieve historical financial data from the database; specifically, in this embodiment, the supervision device and the data processing apparatus cooperate with each other, so that the management of the collective economy achieves an efficient and reasonable purpose; in this embodiment, the database and the server perform data interaction with each other, so as to ensure that the financial and production management conditions between the collective economy can be effectively monitored; in this embodiment, the supervisory network is constructed by a service provider connected with a third party, so that the supervisory network of the collective economy has powerful data support, and in this embodiment, the third party service provider includes a government supervisory system and a banking system; in this embodiment, the collective economy further provides a notification for authorizing access to the financial data, the third party service provider accessing the financial data in accordance with the authorization; specifically, the storage device is configured to store instructions; the processor is configured to execute instructions, the server is configured to receive a notification including a request to access authorized collective economic data; verifying the configured access object; and providing access to authorised collective economy data to a server, the supervising means being configured to supervise transactions of the collective economy and to protect each of the access records; specifically, in the present embodiment, a notification is received from a server, the notification including a request to access collective economic data associated with an economic service account; determining that the economic service account provider has authorized the server to access the collective economic data; determining that a plurality of collective economic authorization servers associated with the economic service account provider access collective economic data; configuring partial data of a collective economy that identifies an access object of a server and that the server is authorized to access; responding to the collective economy access service request from the server and accessing the financial data by the provider to the authorized server; accessing the data and monitoring the financial data and the operating conditions based on the database and the server in the process of providing the financial data by the communication equipment;
In this embodiment, a method for querying collective data is provided, the querying method configured to provide cloud-based access to collective economic data; in particular, the method includes receiving a notification from a server, the notification including a request to access regulatory system data associated with a financial service account; moreover, the access method includes determining that the financial service account provider authorizes access to the regulatory system data by the server; the access method further includes determining that a plurality of financial authorization servers associated with the financial service account provider access financial data; in addition, the access method includes configuring an access object, the access object identifying a server, and information of a supervisory system data to which the server is authorized to access, so that the supervisory system can access a certain portion of the data; the supervising means are configured to authorize the access data and to classify, respectively, the access data, namely: comprising the following steps: an authorized access portion and an unauthorized portion; in addition, the access method includes receiving a notification from the server, the notification including a request to access authorized regulatory system data; the access method comprises the following steps: validating the configured software object; and providing the server with access to the authorized supervisory system data, upon receiving a data access request from a third party service provider, the cloud-based platform may determine that the third party service provider is authorized and provided by both the supervisory system and the associated financial service account provider; after the cloud-based platform receives and validates the software objects provided by the third party service provider, the cloud-based platform may authorize the third party service provider to access the specified regulatory system financial data through the cloud; in addition, in this embodiment, the data cannot be modified during the process of accessing the data at the time of the european speed, and at the same time, the supervision system is further configured to make comments on the financial data and provide corresponding credentials, including but not limited to the following listed cases: including credit card accounts, checking accounts, savings accounts, loan accounts, rewards accounts, and any other type of financial services account;
The processor is further configured to analyze an overview of the collective economy based on machine learning; and generating the instructions based on the analysis, the communication device for receiving at least one of the financial data, wherein at least one of the financial data includes historical financial data and current financial data; the processor is further configured to perform machine learning based on the historical financial data and analyze current financial data; specifically, the processor analyzes the data stored in the storage device, and simultaneously, the processor analyzes the financial data by establishing and analyzing the machine learning model; in this example, the analysis is based on instructions stored on the storage device, which are further executed by the processor; accessing or analyzing the historical funding data and the current financial data; in this embodiment, the machine model performs an operation of analyzing or learning the financial data by a processing means and an analysis rule of learning the historical financial data; in this embodiment, the processor is further configured to access associated financial data provided by the third party service provider and to collect and pre-warn of current conditions of business based on the financial data; the administrator is configured to check the credentials and modify or delete the credentials based on the authorization of the administrative device; in this embodiment, the overall system includes a cloud platform, a banking system, a third party service provider, and a mobile device configured to communicate over a network, the network including a network and a wireless carrier network, the cloud platform being structured as a server associated with a financial institution; financial institutions include, but are not limited to, the following list of several: a bank, lender, merchant, credit card provider, or any other entity that provides a financial account to a customer; the financial institution can manage the cloud platform, so that the cloud platform is used for executing financial services and ensuring that the cloud platform can efficiently and safely perform operations such as data query; in this embodiment, the financial institution is configured as the same institution associated with the banking system, while the financial institution can also be configured as a different institution than the institution associated with the banking system; the enterprise of the collective economy comprises different enterprises, the data interface of each enterprise is configured to connect with the cloud platform and interact with the cloud platform in data, so that the income of the operation or business of each enterprise can be queried by the supervision system; in this embodiment, the storage device is configured to store the instructions and data, and the storage device is configured to store the processor for executing instructions configured to connect or jump between the respective data to the corresponding location;
The administration apparatus includes an executable component, a device interface component, a metadata generation component, an analysis component, the device interface component configured to receive data file formats formatted according to different files from a data processing device and system; the metadata generation component is configured to generate relationship metadata that identifies dependencies between data items contained in a data file and stores the data items in association with the relationship metadata; the analysis component is configured to generate budget model data based on an analysis of a first subset of data items and a first subset of relational metadata, identifying a database and a budget indicator range of a collective economy associated with a defined production outcome in a plurality of production cycles; in particular, receiving, by a system including a processor, a data file from a database and a server at a data processing device, determining a budget indicator range for a database and a collection of economies associated with a defined production result in a plurality of production cycles based on an analysis of a first subset of data items and a first subset of relational metadata; generating budget index model data of a record collective economy; identifying a budget issue based on a comparison of the metric model data with a second subset of data items and a second subset of relationship metadata received after the first subset of data items and the first subset of relationship metadata; generating budget model data to record a range of budget indicators; identifying a first subset of budget issue relationship metadata associated with the database and the system based on a comparison of the budget model data with a second subset of the data items and a second subset of the relationship metadata received after the first subset of the data items; in particular, the device interface component is configured to receive financial data transmitted by a variety of different data sources, the financial data comprising: configuration data, state data, process variable data, etc.; the data received and orchestrated by the financial data orchestration system includes budget data received from a data processing device, a cloud-capable data processing device, a cloud gateway device, or other budget data source; the data may also be received by the device interface component for orchestration of data conforming to a number of different data formats, including, but not limited to, spreadsheet files, log files, database files, streaming data, etc.; the data queuing component is configured to maintain an event queue that processes data received through the device interface component;
In this embodiment, the supervising device further includes a data queuing component, a predictive maintenance and procedural supervising mechanism, and a financial data orchestration mechanism, the data orchestration component configured to queue the data list for practice; the financial data orchestration mechanism is configured to orchestrate the financial data and perform financial case-specific analysis on the stored data and metadata based on relationships between data items found by the orchestration system; the procedural supervision authority is configured to perform predictive analysis of financial data and to perform supervisory operations on the data;
The data queuing component distributes the received data to one or more event queues and also learns the classification of each data item contained in the file; the discovery component is configured to identify relationships between data items placed between different files in the event queue; the metadata generation component is configured to generate metadata identifying the relationship identified by the discovery component; in this way, relationships between data items from different data sources are identified and recorded, and utilized by the cloud-based analysis system in connection with performing extensive data analysis;
The client interface component is configured to exchange data with one or more client devices via a public and/or private network connection; the client interface component communicates information identifying the presumed relationships between the discovered data files or items to the authorized client device and receives confirmation input from the client device accepting the relationships or user-specified relationship information between selected data files or items; the predictive maintenance and process supervision mechanism includes an analysis component, a presentation component, a device interface component, and an analysis scaling component; in this embodiment, the analysis component, the presentation component, the client interface component, the device interface component, and the analysis scaling component are coupled together by one or more electrical or communication devices with respect to each other and perform a plurality of functions of predictive maintenance and process supervision mechanisms with respect to each other; in this embodiment, the components and include software instructions stored in memory and executed by the processor; the predictive maintenance and process supervision mechanism also interacts with other hardware or software components, in particular, the predictive maintenance and process supervision mechanism is used in conjunction with a financial data orchestration mechanism to perform financial case-specific analysis of stored data and metadata based in part on relationships between data items found by the orchestration system; the analysis component is configured to analyze the data and associated metadata for predictive maintenance opportunities or to supplement control of the supervisory system with a higher level of process supervision; the presentation component is configured to present the results of the analysis on the client device in an appropriate format; the device interface component is configured to send instruction data to the target control device to modify a display result of the display device based on the result generated by the analysis component; the analysis scaling component is configured to transfer the analysis process or analysis result to another analysis system hosted on another device or located at a different level of the data processing device for analysis of the data based on the determination of the relevance of the process or result;
The budget model data records a range of budget indicators and identifies relationship metadata received after a first subset of data items and a first subset of relationship metadata for budget problems associated with the data processing apparatus and system based on a comparison of the budget model data with a second subset and a second subset of data items; specifically, the analysis component monitors a relevant subset of the normalized data, the deviation of the subset of data corresponding to the machine or asset to which the model applies from the model; if the budget model data defines a preferred budget indicator from the current financial data, the analysis component will compare the current performance from the normalized data and associated relationship metadata to a subset of the budget model data corresponding to the current financial data of the monitored system; in response to detecting that the monitored data has deviated from the prescribed behavior defined by the model, the presentation component generates an alert and communicates the alert to the client device of the appropriate user via a server that focuses attention on the abnormal deviation; the analysis component identifies undesirable or unacceptable cycle time deviations from the preferred cycle time range; in this embodiment, the subset of normalized data and its associated relationship metadata include cycle time data for one or more machines or production lines, and the budget model includes a definition of a cycle time range, the cycle time range being set as a cycle of execution of the budget; the analysis component compares the cycle times defined by the relevant set of normalized data with the defined optimal cycle times, identifies when the actual cycle times deviate from the modeled cycle times, and reports these deviations via the server; in this embodiment, the analysis component further utilizes analysis to identify a cause of the error based in part on the correlation discovered by the discovery component of the orchestration system and recoded in the relationship metadata; analyzing the generated standardized metadata and the associated metadata generated to identify a risk of failure or inefficiency of the supervisory system; in this embodiment, the risk of failure or inefficiency is based on a comparison of standardized data and associated metadata with one or more budget models generated for a controlled supervision system, and in this embodiment, different parameters are set for each of the budget models, including periodicity, budget indicators, etc.; if no risk of failure or inefficiency is identified, continuing to receive, process and analyze the new data file; if a risk of failure or inefficiency is identified, generating and transmitting control instructions to one or more control devices, the control instructions configured to initiate an operational change determined to mitigate the risk;
The communication means comprises a caching mechanism and real-time control data, the caching mechanism being configured to store real-time control data associated with a data tag defined on the data processing apparatus; the real-time control data includes: the data processing device receives input data from a first subset of the database and output data generated by the data processing device and transmits to a second subset of the database based on the input data; in particular, the predictive maintenance and process supervision mechanism is further configured to support generation of a digital backup for a device based on the aggregated normalized data and associated relationship metadata; in this embodiment, the analysis component compares the input data of the device with its corresponding digital backup to identify deviations; in this embodiment, the predictive maintenance and process supervision mechanism creates different digital backups for the same set of devices, where each digital backup corresponds to a different version of a device depending on the type of environment in which the device is deployed; the caching mechanism creates a first digital backup corresponding to the deployment of the device in the first subset and creates a second digital backup corresponding to the deployment of the device in the second subset; the data processing device receives input data from a first subset of the database and output data generated by the data processing device, and according to the input data, sends the input data to a second subset of the database, so that the financial data can be efficiently processed, the processing capacity of the whole system on the data is improved, and in addition, the data in the database can be efficiently processed through the access of the communication device to the database and the processing operation of the data processing device.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
In summary, the collective economic management and supervision system is constructed to authorize access to data by adopting the supervision device and respectively classify the access data, so that the safety of the whole system is effectively ensured; the data interface of each enterprise is interacted by the intervention third party service provider, so that the operation or business income of each enterprise can be inquired by the supervision system, the completeness and high efficiency of supervision are ensured, and the supervision procedure is further saved; by employing a client device that detects that the monitored data has deviated from the prescribed behavior defined by the model, the presentation component generates and communicates the alert via the server to the appropriate user, such that the supervisory system adjusts for the specific alert signal, ensuring an improvement in overall system processing data and supervisory capability; identifying a risk of failure or inefficiency of the supervisory system by employing analysis of the generated standardized metadata and the associated metadata generated; by adopting the operation of accessing the database through the communication device and processing the data by the data processing device, the data in the database can be ensured to be processed efficiently.
While the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications can be made without departing from the scope of the invention. That is, the methods, systems and devices discussed above are examples. Various configurations may omit, replace, or add various procedures or components as appropriate. For example, in alternative configurations, the methods may be performed in a different order than described, and/or various components may be added, omitted, and/or combined. Moreover, features described with respect to certain configurations may be combined in various other configurations, such as different aspects and elements of the configurations may be combined in a similar manner. Furthermore, as the technology evolves, elements therein may be updated, i.e., many of the elements are examples, and do not limit the scope of the disclosure or the claims.
Specific details are given in the description to provide a thorough understanding of exemplary configurations involving implementations. However, configurations may be practiced without these specific details, e.g., well-known circuits, processes, algorithms, structures, and techniques have been shown without unnecessary detail in order to avoid obscuring configurations. This description provides only an example configuration and does not limit the scope, applicability, or configuration of the claims. Rather, the foregoing description of the configuration will provide those skilled in the art with an enabling description for implementing the described techniques. Various changes may be made in the function and arrangement of elements without departing from the spirit or scope of the disclosure.
It is intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that it is intended that it be regarded as illustrative rather than limiting. Various changes and modifications to the present invention may be made by one skilled in the art after reading the teachings herein, and such equivalent changes and modifications are intended to fall within the scope of the invention as defined in the appended claims.
Claims (1)
1. A collective economic management and administration system, characterized in that it comprises communication means, a database, a server, administration means, a storage device and a processor, said database being structured to form a data processing device in data connection with said server, said data processing device being structured to generate data associated with a collective economic; the communication device is configured to: receiving financial data from the data processing apparatus; sending an instruction to a client; the processor is configured to generate a collective economic profile corresponding to the collective economy based on the data related to the collective economy; the storage device is configured to retrieve historical financial data from the database; wherein the processor is further configured to analyze an overview of the collective economy based on machine learning; and generating the instructions based on the analysis, the communication device for receiving at least one of the financial data, wherein at least one of the financial data includes historical financial data and current financial data; the processor is further configured to perform machine learning based on the historical financial data and analyze current financial data; the administration apparatus includes an executable component, a device interface component, a metadata generation component, an analysis component, the device interface component configured to receive data file formats formatted according to different files from a data processing device and system; the metadata generation component is configured to generate relationship metadata that identifies dependencies between data items contained in a data file and stores the data items in association with the relationship metadata; the analysis component is configured to generate budget model data based on an analysis of a first subset of data items and a first subset of relational metadata, identifying a database and a budget indicator range of a collective economy associated with a defined production outcome in a plurality of production cycles; the budget model data records a range of budget indicators and identifies relationship metadata received after a first subset of data items and a first subset of relationship metadata for budget problems associated with the data processing apparatus and system based on a comparison of the budget model data with a second subset and a second subset of data items; the communication means comprises a caching mechanism and real-time control data, the caching mechanism being configured to store real-time control data associated with a data tag defined on the data processing apparatus; the real-time control data includes: input data received by the data processing device from a first subset of the database, and output data generated by the data processing device, and transmitted to a second subset of the database in accordance with the input data; receiving, by a system including a processor, data files from a database and a server at a data processing device, determining a budget indicator range for a database and an aggregate economy associated with a defined production result in a plurality of production cycles based on an analysis of a first subset of data items and a first subset of relationship metadata; generating budget index model data of a record collective economy;
Identifying a budget issue based on a comparison of the metric model data with a second subset of data items and a second subset of relationship metadata received after the first subset of data items and the first subset of relationship metadata; generating budget model data to record a range of budget indicators; based on a comparison of the budget model data with a second subset of data items and a second subset of relationship metadata received after the first subset of data items, a first subset of budget issue relationship metadata associated with the database and the system is identified.
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