CN112132673A - Enterprise financial management method for extracting financial data - Google Patents
Enterprise financial management method for extracting financial data Download PDFInfo
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Abstract
The invention discloses an enterprise financial management method for extracting financial data, which comprises the following steps: s1, acquiring enterprise financial data; s2, enterprise financial data integration; s3, enterprise financial data analysis; s4, comparing the enterprise financial data; s5, enterprise financial data processing; according to the invention, the enterprise financial data is subjected to monitoring and conveying processing in a whole-process monitoring mode in the processes of acquisition, integration, analysis, comparison and processing, so that the safety and high efficiency of data management application are achieved, the leakage of the financial data is effectively avoided, the safe and effective operation of the financial data is ensured, meanwhile, the private processing of the financial data is realized by processing the differential data through the encryption system, the convenience and the privacy of an enterprise user in the implementation and management of financial data information of various types of projects are further effectively improved, the flexibility and the accuracy of the enterprise user in the extraction of the financial data are effectively met, and the defects in the prior art are effectively overcome.
Description
Technical Field
The invention relates to the technical field of financial management, in particular to an enterprise financial management method for extracting financial data.
Background
The financial management is a component of enterprise management, and is an economic management work for organizing the financial activities of enterprises and processing financial relations according to financial management principles and financial regulation systems. Briefly, financial management is an economic management task for organizing financial activities of an enterprise to handle financial relationships. Financial management is an operation management subject for researching how to manage capital movement through planning, decision, control, assessment, supervision and other management activities so as to improve capital benefits, and enterprises have certain disadvantages in managing their respective finances, such as:
the traditional enterprise financial management method is difficult to effectively ensure the privacy of extracted and processed financial data when the management extraction is carried out on various types of project finances, so that great potential safety hazards exist under the condition that the financial condition of the enterprise finances is easy to leak, and the requirement of the prior art cannot be met.
Disclosure of Invention
In order to achieve the purpose, the invention adopts a technical scheme that: there is provided a method of corporate financial management for financial data extraction comprising the steps of: s1, enterprise financial data acquisition: classifying and itemizing financial data in the enterprise, extracting the classified and itemized financial data from a database, and conveying the extracted financial data into a database storage module; s2, enterprise financial data integration: classifying and sorting the financial data in the database storage module according to categories, integrating the classified and sorted financial data in a centralized manner, and adding marking information into the integrated financial data to realize data positioning of the integrated financial data; s3, enterprise financial data analysis: analyzing various types and various financial data information labeled with information by category items, discharging invalid data information and extracting valid data information; s4, enterprise financial data comparison: comparing the extracted effective data information according to categories and projects, taking the difference between various types of data and various data intervals, and intensively marking the data information after the difference to realize data positioning of the financial data after the comparison; s5, enterprise financial data processing: applying and processing the compared data information, encrypting the financial data difference through an encryption system, and processing the difference data information through the encryption system to realize the private processing of the financial data; s6, enterprise financial data distribution: matching the processed data to financial data of each category and financial data of each item in a regression mode; s7, enterprise financial data management: the financial information of each category and each item data after being distributed is independently managed by an independent data processing module; s8, enterprise financial data monitoring: and implementing data monitoring on enterprise financial data acquisition, enterprise financial data integration, enterprise financial data analysis, enterprise financial data comparison, enterprise financial data processing, enterprise financial data distribution and enterprise financial data management through an enterprise financial system.
Wherein, enterprise's financial data gathers with the help of financial data acquisition terminal data information, and financial data gathers and includes: the financial affairs of enterprise's inside and outside finance, the inside finance of enterprise includes purchasing finance, logistics finance and personnel's allotment financial affairs, the outside finance of enterprise includes investment finance of enterprise and enterprise builds financial affairs.
The enterprise financial data integration utilizes an enterprise management platform to call data of all records in an enterprise from a database module, and the enterprise management platform is used for carrying out centralized integration on big data and calling and positioning data information.
The enterprise financial data analysis is used for screening and classifying input data by means of an enterprise database system, and extracting data information of classified financial data by taking a project as a unit to obtain effective information.
The enterprise financial data comparison utilizes the big data management platform to classify and compare financial cost, financial interest rate, financial profit and financial statement data contained in each item of financial data information, extracts difference data to realize obvious differentiation of the financial data, and marks the difference data by means of the big data management platform to realize data positioning.
And the enterprise financial data processing is used for encrypting and coding all financial data in the whole process of conveying processing through an enterprise cloud system.
And in the enterprise financial data distribution, the data information after financial processing is rearranged and simultaneously transmitted to an enterprise big data management platform by taking classification and project division as units.
The enterprise financial data management is driven by the cloud to start the independent financial data processing modules, and the classified and itemized financial information is independently calculated.
The enterprise financial data monitoring utilizes an enterprise gateway system to carry out whole-course monitoring on the internal and external financial data transmission and processing processes, synchronously filters toxic and harmful data information and carries out recording on the time generated in the financial data transmission and processing processes.
The enterprise financial data management system further comprises a data calling unit, and the data calling unit is used for pairing independent management of financial data and verifying financial data information.
In the scheme, the financial data of the enterprise are subjected to monitoring and conveying treatment in a whole-process monitoring mode in the processes of acquisition, integration, analysis, comparison and treatment, thereby achieving the safety and high efficiency of data management application, effectively avoiding the leakage of financial data and ensuring the safe and effective operation of the financial data, meanwhile, invalid redundant data information can be effectively removed when the extraction processing is carried out on the financial data, so that the processing precision of the financial data can be further improved, the processing efficiency can be further improved, meanwhile, the encryption system is used for processing the difference data to realize the private processing of the financial data, so that the convenience and the privacy of enterprise users in the management of the financial data information of various types of projects are improved powerfully, therefore, flexibility and accuracy of enterprise users in extracting financial data are effectively met, and the defects in the prior art are effectively overcome.
Detailed Description
In the following, reference will be made to various embodiments of the invention. However, embodiments may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will fully convey the scope of the invention to those skilled in the art. In other instances, well-known functions or constructions may not be described or shown in detail to avoid obscuring the subject matter of the present disclosure.
The first embodiment is as follows:
in this embodiment, the method includes the following steps: s1, enterprise financial data acquisition: the financial data in the enterprise are classified and itemized, the classified and itemized financial data are extracted from a database and are transmitted to a database storage module, and the collected financial data information can be effectively collected through the database storage module; s2, enterprise financial data integration: classifying and sequencing the financial data in the database storage module according to categories, and intensively integrating the classified and sequenced financial data, so that the collected financial data are ordered, the extraction efficiency of each item of financial data during processing is improved, and meanwhile, marking information is added to the integrated financial data to realize data positioning of the integrated financial data, so that each item of collected financial data information can be obtained from an accurate data source to realize the one-to-one correspondence effect of the database; s3, enterprise financial data analysis: analyzing various financial data information after information labeling and various financial data information in a category project, discharging invalid data information and extracting valid data information so as to improve the efficiency of financial data processing and avoid occupation of invalid data; s4, enterprise financial data comparison: the extracted effective data information is compared according to categories and projects, differences between various types of data and various data intervals are obtained to obtain important distinguishing key points, the data information after the differences is intensively marked to realize data positioning of the financial data after the comparison, and the precision positioning of data sources is improved; s5, enterprise financial data processing: the compared data information is applied and processed, the financial data difference is encrypted through the encryption system, and the private processing of the financial data is realized by processing the difference data information through the encryption system, so that the safety in the data processing process is effectively ensured; s6, enterprise financial data distribution: regression matching of the processed data to financial data of various categories and financial data of various items is achieved, analogy of data extraction and data processing is achieved, and therefore data accuracy is verified conveniently during data acquisition; s7, enterprise financial data management: the financial information of each category and each item of data after being distributed is independently managed by using an independent data processing module, so that the management efficiency of the financial data is improved, the time and resources are avoided from being wasted due to repeated work, and the error rate is reduced; s8, enterprise financial data monitoring: through enterprise financial system to enterprise financial data acquisition, enterprise financial data integration, enterprise financial data analysis, enterprise financial data contrast, enterprise financial data processing, enterprise financial data allocation and enterprise financial data management implementation data monitoring, can effectual promotion financial data be in the security of management transport processing in-process through the control to financial data.
Example two:
in this embodiment, the method includes the following steps: s1, enterprise financial data acquisition: the financial data in the enterprise are classified and itemized, the classified and itemized financial data are extracted from a database and are transmitted to a database storage module, and the collected financial data information can be effectively collected through the database storage module; s2, enterprise financial data integration: classifying and sequencing the financial data in the database storage module according to categories, and intensively integrating the classified and sequenced financial data, so that the collected financial data are ordered, the extraction efficiency of each item of financial data during processing is improved, and meanwhile, marking information is added to the integrated financial data to realize data positioning of the integrated financial data, so that each item of collected financial data information can be obtained from an accurate data source to realize the one-to-one correspondence effect of the database; s3, enterprise financial data analysis: analyzing various financial data information after information labeling and various financial data information in a category project, discharging invalid data information and extracting valid data information so as to improve the efficiency of financial data processing and avoid occupation of invalid data; s4, enterprise financial data comparison: the extracted effective data information is compared according to categories and projects, differences between various types of data and various data intervals are obtained to obtain important distinguishing key points, the data information after the differences is intensively marked to realize data positioning of the financial data after the comparison, and the precision positioning of data sources is improved; s5, enterprise financial data processing: the compared data information is applied and processed, the financial data difference is encrypted through the encryption system, and the private processing of the financial data is realized by processing the difference data information through the encryption system, so that the safety in the data processing process is effectively ensured; s6, enterprise financial data distribution: regression matching of the processed data to financial data of various categories and financial data of various items is achieved, analogy of data extraction and data processing is achieved, and therefore data accuracy is verified conveniently during data acquisition; s7, enterprise financial data management: the financial information of each category and each item of data after being distributed is independently managed by using an independent data processing module, so that the management efficiency of the financial data is improved, the time and resources are avoided from being wasted due to repeated work, and the error rate is reduced; s8, enterprise financial data monitoring: carry out data monitoring to enterprise financial data collection, enterprise financial data integration, enterprise financial data analysis, enterprise financial data contrast, enterprise financial data processing, enterprise financial data allocation and enterprise financial data management through the financial system of enterprise, can effectual promotion financial data in the security of management transportation processing in-process through the control to financial data, enterprise financial data collection is with the help of financial data collection terminal acquisition data information, and financial data collection includes: the financial affairs of enterprise's inside and outside finance, the inside finance of enterprise includes purchasing finance, logistics finance and personnel's allotment financial affairs, the outside finance of enterprise includes investment finance of enterprise and enterprise builds financial affairs.
Example three:
in this embodiment, the method includes the following steps: s1, enterprise financial data acquisition: the financial data in the enterprise are classified and itemized, the classified and itemized financial data are extracted from a database and are transmitted to a database storage module, and the collected financial data information can be effectively collected through the database storage module; s2, enterprise financial data integration: classifying and sequencing the financial data in the database storage module according to categories, and intensively integrating the classified and sequenced financial data, so that the collected financial data are ordered, the extraction efficiency of each item of financial data during processing is improved, and meanwhile, marking information is added to the integrated financial data to realize data positioning of the integrated financial data, so that each item of collected financial data information can be obtained from an accurate data source to realize the one-to-one correspondence effect of the database; s3, enterprise financial data analysis: analyzing various financial data information after information labeling and various financial data information in a category project, discharging invalid data information and extracting valid data information so as to improve the efficiency of financial data processing and avoid occupation of invalid data; s4, enterprise financial data comparison: the extracted effective data information is compared according to categories and projects, differences between various types of data and various data intervals are obtained to obtain important distinguishing key points, the data information after the differences is intensively marked to realize data positioning of the financial data after the comparison, and the precision positioning of data sources is improved; s5, enterprise financial data processing: the compared data information is applied and processed, the financial data difference is encrypted through the encryption system, and the private processing of the financial data is realized by processing the difference data information through the encryption system, so that the safety in the data processing process is effectively ensured; s6, enterprise financial data distribution: regression matching of the processed data to financial data of various categories and financial data of various items is achieved, analogy of data extraction and data processing is achieved, and therefore data accuracy is verified conveniently during data acquisition; s7, enterprise financial data management: the financial information of each category and each item of data after being distributed is independently managed by using an independent data processing module, so that the management efficiency of the financial data is improved, the time and resources are avoided from being wasted due to repeated work, and the error rate is reduced; s8, enterprise financial data monitoring: data monitoring is implemented to enterprise financial data acquisition, enterprise financial data integration, enterprise financial data analysis, enterprise financial data comparison, enterprise financial data processing, enterprise financial data distribution and enterprise financial data management through enterprise financial system, and the security of financial data in the management transportation processing process can be effectually promoted through the control to financial data, enterprise financial data integration utilizes enterprise management platform to implement the data of each record of enterprise inside to transfer from the database module, through enterprise management platform to the big data centralized integration and to data information implementation transfer location.
Example four:
in this embodiment, the method includes the following steps: s1, enterprise financial data acquisition: the financial data in the enterprise are classified and itemized, the classified and itemized financial data are extracted from a database and are transmitted to a database storage module, and the collected financial data information can be effectively collected through the database storage module; s2, enterprise financial data integration: classifying and sequencing the financial data in the database storage module according to categories, and intensively integrating the classified and sequenced financial data, so that the collected financial data are ordered, the extraction efficiency of each item of financial data during processing is improved, and meanwhile, marking information is added to the integrated financial data to realize data positioning of the integrated financial data, so that each item of collected financial data information can be obtained from an accurate data source to realize the one-to-one correspondence effect of the database; s3, enterprise financial data analysis: analyzing various financial data information after information labeling and various financial data information in a category project, discharging invalid data information and extracting valid data information so as to improve the efficiency of financial data processing and avoid occupation of invalid data; s4, enterprise financial data comparison: the extracted effective data information is compared according to categories and projects, differences between various types of data and various data intervals are obtained to obtain important distinguishing key points, the data information after the differences is intensively marked to realize data positioning of the financial data after the comparison, and the precision positioning of data sources is improved; s5, enterprise financial data processing: the compared data information is applied and processed, the financial data difference is encrypted through the encryption system, and the private processing of the financial data is realized by processing the difference data information through the encryption system, so that the safety in the data processing process is effectively ensured; s6, enterprise financial data distribution: regression matching of the processed data to financial data of various categories and financial data of various items is achieved, analogy of data extraction and data processing is achieved, and therefore data accuracy is verified conveniently during data acquisition; s7, enterprise financial data management: the financial information of each category and each item of data after being distributed is independently managed by using an independent data processing module, so that the management efficiency of the financial data is improved, the time and resources are avoided from being wasted due to repeated work, and the error rate is reduced; s8, enterprise financial data monitoring: data monitoring is implemented to enterprise financial data acquisition, enterprise financial data integration, enterprise financial data analysis, enterprise financial data comparison, enterprise financial data processing, enterprise financial data distribution and enterprise financial data management through enterprise financial system, and the security of financial data in the management transportation processing process can be effectually promoted through the control to financial data, enterprise financial data analysis implements screening classification to the data of input with the help of enterprise database system to implement data information extraction and obtain effective information with the project to the financial data after classifying.
Example five:
in this embodiment, the method includes the following steps: s1, enterprise financial data acquisition: the financial data in the enterprise are classified and itemized, the classified and itemized financial data are extracted from a database and are transmitted to a database storage module, and the collected financial data information can be effectively collected through the database storage module; s2, enterprise financial data integration: classifying and sequencing the financial data in the database storage module according to categories, and intensively integrating the classified and sequenced financial data, so that the collected financial data are ordered, the extraction efficiency of each item of financial data during processing is improved, and meanwhile, marking information is added to the integrated financial data to realize data positioning of the integrated financial data, so that each item of collected financial data information can be obtained from an accurate data source to realize the one-to-one correspondence effect of the database; s3, enterprise financial data analysis: analyzing various financial data information after information labeling and various financial data information in a category project, discharging invalid data information and extracting valid data information so as to improve the efficiency of financial data processing and avoid occupation of invalid data; s4, enterprise financial data comparison: the extracted effective data information is compared according to categories and projects, differences between various types of data and various data intervals are obtained to obtain important distinguishing key points, the data information after the differences is intensively marked to realize data positioning of the financial data after the comparison, and the precision positioning of data sources is improved; s5, enterprise financial data processing: the compared data information is applied and processed, the financial data difference is encrypted through the encryption system, and the private processing of the financial data is realized by processing the difference data information through the encryption system, so that the safety in the data processing process is effectively ensured; s6, enterprise financial data distribution: regression matching of the processed data to financial data of various categories and financial data of various items is achieved, analogy of data extraction and data processing is achieved, and therefore data accuracy is verified conveniently during data acquisition; s7, enterprise financial data management: the financial information of each category and each item of data after being distributed is independently managed by using an independent data processing module, so that the management efficiency of the financial data is improved, the time and resources are avoided from being wasted due to repeated work, and the error rate is reduced; s8, enterprise financial data monitoring: the data monitoring is implemented on enterprise financial data acquisition, enterprise financial data integration, enterprise financial data analysis, enterprise financial data comparison, enterprise financial data processing, enterprise financial data distribution and enterprise financial data management through an enterprise financial system, the safety of financial data in the management conveying and processing process can be effectively improved through the monitoring of financial data, the enterprise financial data comparison utilizes a large data management platform to classify and compare financial cost, financial interest rate, financial profit and financial statement data contained in various financial data information, the difference data is extracted to realize obvious differentiation of the financial data, and the difference data is marked by the aid of the large data management platform to realize data positioning.
Example six:
in this embodiment, the method includes the following steps: s1, enterprise financial data acquisition: the financial data in the enterprise are classified and itemized, the classified and itemized financial data are extracted from a database and are transmitted to a database storage module, and the collected financial data information can be effectively collected through the database storage module; s2, enterprise financial data integration: classifying and sequencing the financial data in the database storage module according to categories, and intensively integrating the classified and sequenced financial data, so that the collected financial data are ordered, the extraction efficiency of each item of financial data during processing is improved, and meanwhile, marking information is added to the integrated financial data to realize data positioning of the integrated financial data, so that each item of collected financial data information can be obtained from an accurate data source to realize the one-to-one correspondence effect of the database; s3, enterprise financial data analysis: analyzing various financial data information after information labeling and various financial data information in a category project, discharging invalid data information and extracting valid data information so as to improve the efficiency of financial data processing and avoid occupation of invalid data; s4, enterprise financial data comparison: the extracted effective data information is compared according to categories and projects, differences between various types of data and various data intervals are obtained to obtain important distinguishing key points, the data information after the differences is intensively marked to realize data positioning of the financial data after the comparison, and the precision positioning of data sources is improved; s5, enterprise financial data processing: the compared data information is applied and processed, the financial data difference is encrypted through the encryption system, and the private processing of the financial data is realized by processing the difference data information through the encryption system, so that the safety in the data processing process is effectively ensured; s6, enterprise financial data distribution: regression matching of the processed data to financial data of various categories and financial data of various items is achieved, analogy of data extraction and data processing is achieved, and therefore data accuracy is verified conveniently during data acquisition; s7, enterprise financial data management: the financial information of each category and each item of data after being distributed is independently managed by using an independent data processing module, so that the management efficiency of the financial data is improved, the time and resources are avoided from being wasted due to repeated work, and the error rate is reduced; s8, enterprise financial data monitoring: carry out data monitoring to enterprise financial data collection, enterprise financial data integration, enterprise financial data analysis, enterprise financial data contrast, enterprise financial data processing, enterprise financial data allocation and enterprise financial data management through enterprise financial system, can effectually promote the security of financial data in the management transportation processing procedure through the control to financial data, enterprise financial data processing is through enterprise high in the clouds system with each item financial data whole encryption code in the transportation processing procedure.
Example seven:
in this embodiment, the method includes the following steps: s1, enterprise financial data acquisition: the financial data in the enterprise are classified and itemized, the classified and itemized financial data are extracted from a database and are transmitted to a database storage module, and the collected financial data information can be effectively collected through the database storage module; s2, enterprise financial data integration: classifying and sequencing the financial data in the database storage module according to categories, and intensively integrating the classified and sequenced financial data, so that the collected financial data are ordered, the extraction efficiency of each item of financial data during processing is improved, and meanwhile, marking information is added to the integrated financial data to realize data positioning of the integrated financial data, so that each item of collected financial data information can be obtained from an accurate data source to realize the one-to-one correspondence effect of the database; s3, enterprise financial data analysis: analyzing various financial data information after information labeling and various financial data information in a category project, discharging invalid data information and extracting valid data information so as to improve the efficiency of financial data processing and avoid occupation of invalid data; s4, enterprise financial data comparison: the extracted effective data information is compared according to categories and projects, differences between various types of data and various data intervals are obtained to obtain important distinguishing key points, the data information after the differences is intensively marked to realize data positioning of the financial data after the comparison, and the precision positioning of data sources is improved; s5, enterprise financial data processing: the compared data information is applied and processed, the financial data difference is encrypted through the encryption system, and the private processing of the financial data is realized by processing the difference data information through the encryption system, so that the safety in the data processing process is effectively ensured; s6, enterprise financial data distribution: regression matching of the processed data to financial data of various categories and financial data of various items is achieved, analogy of data extraction and data processing is achieved, and therefore data accuracy is verified conveniently during data acquisition; s7, enterprise financial data management: the financial information of each category and each item of data after being distributed is independently managed by using an independent data processing module, so that the management efficiency of the financial data is improved, the time and resources are avoided from being wasted due to repeated work, and the error rate is reduced; s8, enterprise financial data monitoring: data monitoring is implemented on enterprise financial data acquisition, enterprise financial data integration, enterprise financial data analysis, enterprise financial data comparison, enterprise financial data processing, enterprise financial data distribution and enterprise financial data management through an enterprise financial system, the safety of financial data in the management conveying and processing process can be effectively improved through the monitoring on the financial data, and data information after financial processing is redeployed and conveyed to an enterprise big data management platform through classifying and project dividing units in the enterprise financial data distribution.
Example eight:
in this embodiment, the method includes the following steps: s1, enterprise financial data acquisition: the financial data in the enterprise are classified and itemized, the classified and itemized financial data are extracted from a database and are transmitted to a database storage module, and the collected financial data information can be effectively collected through the database storage module; s2, enterprise financial data integration: classifying and sequencing the financial data in the database storage module according to categories, and intensively integrating the classified and sequenced financial data, so that the collected financial data are ordered, the extraction efficiency of each item of financial data during processing is improved, and meanwhile, marking information is added to the integrated financial data to realize data positioning of the integrated financial data, so that each item of collected financial data information can be obtained from an accurate data source to realize the one-to-one correspondence effect of the database; s3, enterprise financial data analysis: analyzing various financial data information after information labeling and various financial data information in a category project, discharging invalid data information and extracting valid data information so as to improve the efficiency of financial data processing and avoid occupation of invalid data; s4, enterprise financial data comparison: the extracted effective data information is compared according to categories and projects, differences between various types of data and various data intervals are obtained to obtain important distinguishing key points, the data information after the differences is intensively marked to realize data positioning of the financial data after the comparison, and the precision positioning of data sources is improved; s5, enterprise financial data processing: the compared data information is applied and processed, the financial data difference is encrypted through the encryption system, and the private processing of the financial data is realized by processing the difference data information through the encryption system, so that the safety in the data processing process is effectively ensured; s6, enterprise financial data distribution: regression matching of the processed data to financial data of various categories and financial data of various items is achieved, analogy of data extraction and data processing is achieved, and therefore data accuracy is verified conveniently during data acquisition; s7, enterprise financial data management: the financial information of each category and each item of data after being distributed is independently managed by using an independent data processing module, so that the management efficiency of the financial data is improved, the time and resources are avoided from being wasted due to repeated work, and the error rate is reduced; s8, enterprise financial data monitoring: carry out data monitoring to enterprise financial data collection, enterprise financial data integration, enterprise financial data analysis, enterprise financial data contrast, enterprise financial data processing, enterprise financial data allocation and enterprise financial data management through the financial system of enterprise, can effectually promote the security of financial data in the management transportation processing procedure through the control to financial data, enterprise financial data management starts each independent data processing module of financial under the high in the clouds drive, to categorised and itemized financial information independent computation.
Example nine:
in this embodiment, the method includes the following steps: s1, enterprise financial data acquisition: the financial data in the enterprise are classified and itemized, the classified and itemized financial data are extracted from a database and are transmitted to a database storage module, and the collected financial data information can be effectively collected through the database storage module; s2, enterprise financial data integration: classifying and sequencing the financial data in the database storage module according to categories, and intensively integrating the classified and sequenced financial data, so that the collected financial data are ordered, the extraction efficiency of each item of financial data during processing is improved, and meanwhile, marking information is added to the integrated financial data to realize data positioning of the integrated financial data, so that each item of collected financial data information can be obtained from an accurate data source to realize the one-to-one correspondence effect of the database; s3, enterprise financial data analysis: analyzing various financial data information after information labeling and various financial data information in a category project, discharging invalid data information and extracting valid data information so as to improve the efficiency of financial data processing and avoid occupation of invalid data; s4, enterprise financial data comparison: the extracted effective data information is compared according to categories and projects, differences between various types of data and various data intervals are obtained to obtain important distinguishing key points, the data information after the differences is intensively marked to realize data positioning of the financial data after the comparison, and the precision positioning of data sources is improved; s5, enterprise financial data processing: the compared data information is applied and processed, the financial data difference is encrypted through the encryption system, and the private processing of the financial data is realized by processing the difference data information through the encryption system, so that the safety in the data processing process is effectively ensured; s6, enterprise financial data distribution: regression matching of the processed data to financial data of various categories and financial data of various items is achieved, analogy of data extraction and data processing is achieved, and therefore data accuracy is verified conveniently during data acquisition; s7, enterprise financial data management: the financial information of each category and each item of data after being distributed is independently managed by using an independent data processing module, so that the management efficiency of the financial data is improved, the time and resources are avoided from being wasted due to repeated work, and the error rate is reduced; s8, enterprise financial data monitoring: the enterprise financial data management system is used for carrying out data monitoring on enterprise financial data acquisition, enterprise financial data integration, enterprise financial data analysis, enterprise financial data comparison, enterprise financial data processing, enterprise financial data distribution and enterprise financial data management, the safety of financial data in the management conveying and processing process can be effectively improved by monitoring the financial data, the enterprise financial data monitoring utilizes the enterprise gateway system to carry and process all the way in the internal and external financial data conveying and processing process, simultaneously filters toxic and harmful data information synchronously and carries out recording on the time generated by each financial data transmission and processing process, and the enterprise financial data management system further comprises a data calling unit which is used for carrying out independent management on the financial data and carrying out verification on the financial data information.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and other divisions may be realized in practice, 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. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Claims (10)
1. A method of corporate financial management for financial data extraction, comprising the steps of:
s1, enterprise financial data acquisition: classifying and itemizing financial data in the enterprise, extracting the classified and itemized financial data from a database, and conveying the extracted financial data into a database storage module;
s2, enterprise financial data integration: classifying and sorting the financial data in the database storage module according to categories, integrating the classified and sorted financial data in a centralized manner, and adding marking information into the integrated financial data to realize data positioning of the integrated financial data;
s3, enterprise financial data analysis: analyzing various types and various financial data information labeled with information by category items, discharging invalid data information and extracting valid data information;
s4, enterprise financial data comparison: comparing the extracted effective data information according to categories and projects, taking the difference between various types of data and various data intervals, and intensively marking the data information after the difference to realize data positioning of the financial data after the comparison;
s5, enterprise financial data processing: applying and processing the compared data information, encrypting the financial data difference through an encryption system, and processing the difference data information through the encryption system to realize the private processing of the financial data;
s6, enterprise financial data distribution: matching the processed data to financial data of each category and financial data of each item in a regression mode;
s7, enterprise financial data management: the financial information of each category and each item data after being distributed is independently managed by an independent data processing module;
s8, enterprise financial data monitoring: and implementing data monitoring on enterprise financial data acquisition, enterprise financial data integration, enterprise financial data analysis, enterprise financial data comparison, enterprise financial data processing, enterprise financial data distribution and enterprise financial data management through an enterprise financial system.
2. A corporate financial management method for financial data extraction according to claim 1, wherein the corporate financial data collection collects data information by means of a financial data collection terminal, the financial data collection comprising: the financial affairs of enterprise's inside and outside finance, the inside finance of enterprise includes purchasing finance, logistics finance and personnel's allotment financial affairs, the outside finance of enterprise includes investment finance of enterprise and enterprise builds financial affairs.
3. An enterprise financial management method for financial data extraction according to claim 1, wherein the enterprise financial data integration uses an enterprise management platform to make the retrieval of the data of each record inside the enterprise from the database module, and the enterprise management platform is used to make centralized integration of big data and make retrieval positioning of data information.
4. A corporate financial management method for financial data extraction as claimed in claim 1, wherein the corporate financial data analysis implements screening classification of the input data by means of corporate database system, and implements data information extraction on classified financial data in project units to obtain effective information.
5. The method of claim 1, wherein the enterprise financial management system compares the financial data of the enterprise with the financial cost, financial interest rate, financial profit and financial statement data of each item of financial data information by using the big data management platform, extracts the difference data to realize obvious financial data differentiation, and marks the difference data by using the big data management platform to realize data positioning.
6. An enterprise financial management method for financial data extraction according to claim 1, wherein the enterprise financial data processing encrypts and encodes financial data throughout the transportation process via an enterprise cloud system.
7. A method as claimed in claim 1, wherein the financial data of the enterprise is redistributed by classification and itemization units and delivered to the enterprise big data management platform.
8. A corporate financial management method for financial data extraction as claimed in claim 1, wherein the corporate financial data management is driven by the cloud to start each financial independent data processing module, and the financial information for classification and itemization is calculated independently.
9. An enterprise financial management method for financial data extraction according to claim 1 wherein the enterprise financial data monitoring utilizes an enterprise gateway system to monitor the entire course of the internal and external financial data transmission and processing processes while simultaneously filtering toxic and harmful data information and recording the time generated by each financial data transmission and processing process.
10. A corporate financial management method for financial data extraction according to claim 6, including a data call unit for pairing independent management of financial data to validate financial data information.
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Application publication date: 20201225 |