CN116308843A - Financial funds management method - Google Patents
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Abstract
The invention discloses a financial funds management method, which comprises the following steps: identifying the organization structure of the current enterprise financial funds, marking the organization structure as a single component, and merging the single components to obtain a structural analysis group; obtaining classification knowledge maps corresponding to each structure analysis group and manufacturing a knowledge map template corresponding to the structure analysis group; setting a fund use label spectrum table and a fund use rule configuration table according to the data type labels and the structure analysis group labels of all the template parts in the knowledge graph template; establishing a migration index item based on the map label table, enabling funds to flow into a knowledge map system to be decomposed into a funds detail table, and warehousing and storing the funds detail table into corresponding storage nodes; and reading the financial fund data of the target month from a storage node of a preset database based on the user input management instruction to obtain the target financial fund data. The invention can realize the dynamic management of the fund use labels and the dynamic management of rule configuration, reduce the manual participation and improve the accuracy of the fund report.
Description
Technical Field
The invention relates to the field of financial funds management, in particular to a financial funds management method.
Background
Financial management is a component of enterprise management, which is an economic management effort for organizing enterprise financial activities and processing financial relationships according to financial management principles according to financial regulation systems. Briefly, financial management is an economic management effort that organizes corporate financial activities and deals with financial relationships.
At present, the financial management method is mature, but along with the development of market economy, new management means are continuously integrated into a management platform, the financial department is required to upload funds manually in a conventional fund management scheme, the fund application is required to be marked manually, and in addition, the fund running does not support the authority control of account numbers and expense directions. However, this type has the following problems: as business progresses, changes may occur, and in addition, if the fund use must be marked manually, errors easily occur in the business manual operation, and excessive flow of water is very time-consuming.
Aiming at the problem, part of enterprises develop a financial fund management platform, such as a comprehensive financial management platform of CN202110099153.6, which discloses a comprehensive financial management platform, which can help the enterprises to discover potential crisis in advance, make adjustment in time to avoid risks, judge the possibility of risks by analyzing and summarizing financial reports of all levels of enterprises, provide data support for high-level decisions, help the enterprises to make better planning for the next development, and simultaneously predict the coming and unknown risks of the next risks of the enterprises, so that the loss of the enterprises is minimized, and the maximization of investors and the interests of the enterprises is realized.
Application number CN201810296216.5 is a financial funds data processing system and method under industry and finance integration, comprising: a service database for receiving service data; a score database for receiving score data; the clearing account checking module is used for clearing account checking according to the business data and the clearing data; and a voucher module for producing financial vouchers based on the order details data, the transaction data and the results of the clearing and reconciliation.
Due to the variability of the financial funds data, the financial funds management platform cannot well realize dynamic entry of policies matching funds, cannot monitor suspicious accounts for abnormal transaction funds, and cannot realize traversal of all possible risk transactions of all accounts. It is therefore desirable to provide a financial funds management method that enables dynamic entry of policies matching the use of funds, then automatic use tagging through the system, and enables abnormal transaction monitoring.
Disclosure of Invention
The present invention is directed to a financial funds management method, which solves the above-mentioned problems of the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions: a financial funds management method comprising the steps of:
s1: identifying the organization structure of the current enterprise financial funds, marking the organization structure as a single component, and merging the single components to obtain a structural analysis group;
s2: obtaining classification knowledge spectrums corresponding to all the structure analysis groups, manufacturing a knowledge spectrum template corresponding to the structure analysis groups, obtaining data types and the structure analysis groups corresponding to all the template parts in the knowledge spectrum template, and marking the data type labels and the structure analysis labels corresponding to the template parts;
s3: setting a fund use label spectrum table and a fund use rule configuration table according to the data type labels and the structure analysis group labels of all the template parts in the knowledge graph template;
s4: establishing a migration index item based on the map label table, establishing a corresponding storage node in a financial fund database according to the characteristic index item contained in the migration index item, enabling funds to flow into a knowledge map system to be decomposed into a fund detail table, and warehousing and storing the fund detail table into the corresponding storage node;
s5: reading financial fund data of a target month from a storage node of a preset database based on a user input management instruction, and calling a preset Sqoop tool to synchronize the financial fund data of the target month to a financial month node database to obtain the target financial fund data;
s6: determining a plurality of report indexes according to preset configuration information in a financial month node database, wherein the preset configuration information is used for indicating the SQL query statement identification of the structured query language;
s7: counting and monitoring abnormality of the target financial fund data according to the multiple report indexes to generate multiple target index data and monitoring data;
s8: and generating a financial fund data report of the target month according to the target index data, and generating an abnormal analysis result according to the abnormal monitoring data.
Preferably, S1 specifically includes: acquiring each single fund component of the financial funds, wherein the single fund component comprises fund type and data type information, establishing a fund management map library of a current enterprise based on each single fund component, identifying application range information of target knowledge maps in a knowledge map library, classifying the target knowledge maps, selecting X target knowledge maps in each classification as classified knowledge maps, marking corresponding classification labels, marking X as a positive integer as a knowledge map classification template, matching the functional range and data type information of a single component with the application range information of the knowledge map classification template, merging the single components classified by the same knowledge map classification template, and marking the single components as structural analysis components.
Preferably, the fund use tag map table in S3 includes a tag name, a tag code, an associated parent tag id, and the like, and the fund use rule configuration table includes an associated tag id, tag matching expression information, a keyword, and the like.
Preferably, the process of counting the target financial fund data according to the report indexes in S7 includes:
s701a: traversing the target financial fund data according to the report indexes to determine the multiple financial fund data corresponding to each report index;
s702a: summarizing a plurality of financial fund data corresponding to each report index to obtain a plurality of index summarizing data, wherein each index summarizing data comprises a plurality of financial fund data;
s703a: and sequentially checking the multiple index summarized data, returning to the re-summarizing process if the multiple index summarized data do not pass all the checks, and determining the multiple index summarized data as multiple target index data if the multiple index summarized data pass all the checks.
Preferably, the process of monitoring the target financial fund data for anomalies according to the report indexes in S7 includes:
s701b: acquiring target financial fund data in a T1 time period, and preprocessing the data, wherein the preprocessing comprises missing value processing, outlier processing, data cleaning and the like, and removing dirty data;
s702b: combing and extracting the fund transaction flow direction in the fund flow data, extracting an account set related in the combed fund transaction flow, labeling the accounts in the set, and forming a directed edge of the knowledge graph by the nodes subjected to the fund transaction flow direction according to the fund flow direction, wherein the nodes are used as the nodes of the knowledge graph;
s703b: screening nodes and edges of the knowledge graph, constructing an abnormal monitoring graph, and carrying out multi-layer fund flow direction analysis on all accounts based on the constructed abnormal monitoring graph to screen out an account set related to suspicious fund transaction;
s704b: and feeding back the screening result.
Preferably, the fund transaction arrangement includes a transaction serial number, a master account code, a transaction party account code, a transaction identification, a transaction time, a transaction amount, and the like.
Preferably, the anomaly monitoring map analyzes the fund relationship, stockholder relationship, creditor relationship and the like between the main account and the transaction party account by using a graph algorithm, and calculates the affinity index and influence degree of various relationships and combination by using a centrality algorithm, namely
Wherein d is st Represents the shortest path number, d, from vertex s to vertex t st () Representing the number of nodes traversed in the shortest path from vertex s to vertex t.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention can realize dynamic management of fund use labels and dynamic management of fund use rule configuration, can automatically collect and count the fund data of a target month by adopting a knowledge graph mode, and generate a financial fund data report, thereby reducing manual participation, improving the accuracy of the fund data report, reducing the time consumed by the financial fund data statistics and improving the efficiency of financial management.
2. The invention monitors abnormal transactions in financial fund data by adopting the knowledge graph, and judges the fund relationship between the main account and the transaction party account by combing and extracting the fund flow direction so as to realize the monitoring of the transactions, thereby having higher flexibility.
3. The invention adopts the combination of the graph algorithm and the centrality algorithm, can acquire account relation by using the centrality algorithm, can traverse all possible risk transactions of all accounts based on the graph algorithm identification, and has certain advantages when facing multi-account and multi-fund transactions.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a flow chart of anomaly monitoring of funds data in accordance with an embodiment of the invention.
FIG. 3 is a flow chart of the statistics of target financial funds data in an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-3, the present invention provides a technical solution: a financial funds management method comprising the steps of:
s1: identifying the organization structure of the current enterprise financial funds, marking the organization structure as a single component, and merging the single components to obtain a structural analysis group;
s2: obtaining classification knowledge spectrums corresponding to all the structure analysis groups, manufacturing a knowledge spectrum template corresponding to the structure analysis groups, obtaining data types and the structure analysis groups corresponding to all the template parts in the knowledge spectrum template, and marking the data type labels and the structure analysis labels corresponding to the template parts;
s3: setting a fund use label spectrum table and a fund use rule configuration table according to the data type labels and the structure analysis group labels of all the template parts in the knowledge graph template;
s4: establishing a migration index item based on the map label table, establishing a corresponding storage node in a financial fund database according to the characteristic index item contained in the migration index item, enabling funds to flow into a knowledge map system to be decomposed into a fund detail table, and warehousing and storing the fund detail table into the corresponding storage node;
s5: reading financial fund data of a target month from a storage node of a preset database based on a user input management instruction, and calling a preset Sqoop tool to synchronize the financial fund data of the target month to a financial month node database to obtain the target financial fund data;
s6: determining a plurality of report indexes according to preset configuration information in a financial month node database, wherein the preset configuration information is used for indicating the SQL query statement identification of the structured query language;
s7: counting and monitoring abnormality of the target financial fund data according to the multiple report indexes to generate multiple target index data and monitoring data;
s8: and generating a financial fund data report of the target month according to the target index data, and generating an abnormal analysis result according to the abnormal monitoring data.
In this embodiment, S1 specifically includes: acquiring each single fund component of the financial funds, wherein the single fund component comprises fund type and data type information, establishing a fund management map library of a current enterprise based on each single fund component, identifying application range information of target knowledge maps in a knowledge map library, classifying the target knowledge maps, selecting X target knowledge maps in each classification as classified knowledge maps, marking corresponding classification labels, marking X as a positive integer as a knowledge map classification template, matching the functional range and data type information of a single component with the application range information of the knowledge map classification template, merging the single components classified by the same knowledge map classification template, and marking the single components as structural analysis components.
In this embodiment, the fund usage tag map table in S3 includes a tag name, a tag code, an associated parent tag id, and the like, and the fund usage rule configuration table includes an associated tag id, tag matching expression information, a keyword, and the like.
In this embodiment, the process of counting the target financial funds data according to the report indexes in S7 includes:
s701a: traversing the target financial fund data according to the report indexes to determine the multiple financial fund data corresponding to each report index;
s702a: summarizing a plurality of financial fund data corresponding to each report index to obtain a plurality of index summarizing data, wherein each index summarizing data comprises a plurality of financial fund data;
s703a: and sequentially checking the multiple index summarized data, returning to the re-summarizing process if the multiple index summarized data do not pass all the checks, and determining the multiple index summarized data as multiple target index data if the multiple index summarized data pass all the checks.
In this embodiment, the process of performing anomaly monitoring on the target financial funds data according to the multiple report indexes in S7 includes:
s701b: acquiring target financial fund data in a T1 time period, and preprocessing the data, wherein the preprocessing comprises missing value processing, outlier processing, data cleaning and the like, and removing dirty data;
s702b: combing and extracting the fund transaction flow direction in the fund flow data, extracting an account set related in the combed fund transaction flow, labeling the accounts in the set, and forming a directed edge of the knowledge graph by the nodes subjected to the fund transaction flow direction according to the fund flow direction, wherein the nodes are used as the nodes of the knowledge graph;
s703b: screening nodes and edges of the knowledge graph, constructing an abnormal monitoring graph, and carrying out multi-layer fund flow direction analysis on all accounts based on the constructed abnormal monitoring graph to screen out an account set related to suspicious fund transaction;
s704b: and feeding back the screening result.
In this embodiment, the fund transaction arrangement includes a transaction serial number, a master account code, a transaction party account code, a transaction identification, a transaction time, a transaction amount, and the like.
In this embodiment, the anomaly monitoring map analyzes the fund relationship, stockholder relationship, creditor relationship, etc. between the main account and the transaction party account by using a graph algorithm, and calculates the affinity index, the influence degree, that is, the relationship between the various relationships and the combination by using a centrality algorithm
Wherein d is st Represents the shortest path number, d, from vertex s to vertex t st () Representing the number of nodes traversed in the shortest path from vertex s to vertex t.
According to the embodiment, the dynamic management of the fund use labels and the dynamic management of the fund use rule configuration can be realized, the fund data of the target month can be automatically summarized and counted in a knowledge graph mode, and the financial fund data report is generated, so that the manual participation is reduced, the accuracy of the fund data report is improved, the time consumed by the financial fund data statistics is reduced, and the financial management efficiency is improved.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A method of financial funds management comprising the steps of:
s1: identifying the organization structure of the current enterprise financial funds, marking the organization structure as a single component, and merging the single components to obtain a structural analysis group;
s2: obtaining classification knowledge spectrums corresponding to all the structure analysis groups, manufacturing a knowledge spectrum template corresponding to the structure analysis groups, obtaining data types and the structure analysis groups corresponding to all the template parts in the knowledge spectrum template, and marking the data type labels and the structure analysis labels corresponding to the template parts;
s3: setting a fund use label spectrum table and a fund use rule configuration table according to the data type labels and the structure analysis group labels of all the template parts in the knowledge graph template;
s4: establishing a migration index item based on the map label table, establishing a corresponding storage node in a financial fund database according to the characteristic index item contained in the migration index item, enabling funds to flow into a knowledge map system to be decomposed into a fund detail table, and warehousing and storing the fund detail table into the corresponding storage node;
s5: reading financial fund data of a target month from a storage node of a preset database based on a user input management instruction, and calling a preset Sqoop tool to synchronize the financial fund data of the target month to a financial month node database to obtain the target financial fund data;
s6: determining a plurality of report indexes according to preset configuration information in a financial month node database, wherein the preset configuration information is used for indicating the SQL query statement identification of the structured query language;
s7: counting and monitoring abnormality of the target financial fund data according to the multiple report indexes to generate multiple target index data and monitoring data;
s8: and generating a financial fund data report of the target month according to the target index data, and generating an abnormal analysis result according to the abnormal monitoring data.
2. A method of financial funds management as claimed in claim 1, wherein: the step S1 specifically comprises the following steps: acquiring each single fund component of the financial funds, wherein the single fund component comprises fund type and data type information, establishing a fund management map library of a current enterprise based on each single fund component, identifying application range information of target knowledge maps in a knowledge map library, classifying the target knowledge maps, selecting X target knowledge maps in each classification as classified knowledge maps, marking corresponding classification labels, marking X as a positive integer as a knowledge map classification template, matching the functional range and data type information of a single component with the application range information of the knowledge map classification template, merging the single components classified by the same knowledge map classification template, and marking the single components as structural analysis components.
3. A method of financial funds management as claimed in claim 1, wherein: the fund use tag map table in the S3 comprises a tag name, a tag code, an associated parent tag id and the like, and the fund use rule configuration table comprises an associated tag id, tag matching expression information, keywords and the like.
4. A method of financial funds management as claimed in claim 1, wherein: the process of counting the target financial fund data according to the report indexes in the S7 comprises the following steps:
s701a: traversing the target financial fund data according to the report indexes to determine the multiple financial fund data corresponding to each report index;
s702a: summarizing a plurality of financial fund data corresponding to each report index to obtain a plurality of index summarizing data, wherein each index summarizing data comprises a plurality of financial fund data;
s703a: and sequentially checking the multiple index summarized data, returning to the re-summarizing process if the multiple index summarized data do not pass all the checks, and determining the multiple index summarized data as multiple target index data if the multiple index summarized data pass all the checks.
5. A method of financial funds management as claimed in claim 1, wherein: the process of monitoring the target financial fund data abnormally according to the report indexes in the S7 comprises the following steps:
s701b: acquiring target financial fund data in a T1 time period, and preprocessing the data, wherein the preprocessing comprises missing value processing, outlier processing, data cleaning and the like, and removing dirty data;
s702b: combing and extracting the fund transaction flow direction in the fund flow data, extracting an account set related in the combed fund transaction flow, labeling the accounts in the set, and forming a directed edge of the knowledge graph by the nodes subjected to the fund transaction flow direction according to the fund flow direction, wherein the nodes are used as the nodes of the knowledge graph;
s703b: screening nodes and edges of the knowledge graph, constructing an abnormal monitoring graph, and carrying out multi-layer fund flow direction analysis on all accounts based on the constructed abnormal monitoring graph to screen out an account set related to suspicious fund transaction;
s704b: and feeding back the screening result.
6. A method of financial funds management as claimed in claim 5, wherein: the fund transaction arrangement includes a transaction serial number, a main account code, a transaction party account code, a transaction identification, a transaction time, a transaction amount, and the like.
7. A method of financial funds management as claimed in claim 5, wherein: the abnormal monitoring map analyzes the fund relationship, the stakeholder relationship, the creditor relationship and the like between the main account and the transaction party account by using a graph algorithm, and calculates the affinity index and the influence degree of various relationships by using a centrality algorithm, namely
Wherein d is st Represents the shortest path number, d, from vertex s to vertex t st () Representing the number of nodes traversed in the shortest path from vertex s to vertex t.
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| CN117893102A (en) * | 2024-03-15 | 2024-04-16 | 平潭综合实验区智慧岛投资发展有限公司 | Enterprise management system based on block chain |
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