CN112150264A - Enterprise financial balance analysis system based on cloud platform - Google Patents
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Abstract
The invention discloses an enterprise financial income and expenditure analysis system based on a cloud platform, which comprises: the data mining module is used for mining corresponding financial income data and financial expenditure data in the financial system according to a preset income and expenditure data mining rule; the data preprocessing module is used for realizing the classification of the financial income data and the financial expenditure data and realizing the format standardization processing of the data; the target data acquisition module is used for acquiring target data based on financial income data and financial expense data which are subjected to classification and format standardization processing based on a preset algorithm; and the balance analysis module is used for operating a preset balance analysis model and/or a balance analysis algorithm based on Hadoop to realize the analysis of the enterprise financial balance condition according to the target data. The invention realizes the automatic acquisition, arrangement and statistical analysis of the enterprise financial income and expenditure data, can find abnormal data existing in the enterprise financial income and expenditure situation in time, and can well avoid errors of manual accounting.
Description
Technical Field
The invention relates to the technical field of financial analysis, in particular to an enterprise financial balance analysis system based on a cloud platform.
Background
At present, transaction information exists between enterprises and cooperative companies, for companies establishing long-term cooperation, transaction exchanges are continuously updated and changed, and finance caused by transaction changes accordingly, for long-term cooperative customers, in the transaction process, all the money is generally not paid in time, and the payment is delayed for a period of time or only a payment part is paid, so that the enterprise financial staff is more complicated when counting the income and expenditure conditions between an enterprise and a cooperative company, the difficulty degree of manual checking is increased, and can not comprehensively count the general accounts owed by the enterprise to the cooperative company or the general accounts owed by other companies to the enterprise, thereby increasing the complexity of manual financial statistics and increasing the error rate in the financial auditing process, meanwhile, the financial condition of manual statistics cannot be counted, and the problems of poor accuracy and low efficiency of financial examination exist.
Disclosure of Invention
In order to solve the problems, the invention provides an enterprise financial balance analysis system based on a cloud platform, which realizes automatic acquisition, arrangement and statistical analysis of enterprise financial balance data, can find abnormal data existing in the enterprise financial balance condition in time, and can well avoid errors of manual accounting.
In order to achieve the purpose, the invention adopts the technical scheme that:
an enterprise financial balance analysis system based on a cloud platform comprises:
the data mining module is used for mining corresponding financial income data and financial expenditure data in the financial system according to a preset income and expenditure data mining rule;
the data preprocessing module is used for realizing the classification of the financial income data and the financial expenditure data and realizing the format standardization processing of the corresponding financial income data and the corresponding financial expenditure data according to the format standardization rule corresponding to each type;
the target data acquisition module is used for acquiring target data based on financial income data and financial expense data which are subjected to classification and format standardization processing based on a preset algorithm;
and the balance analysis module is used for operating a preset balance analysis model and/or a balance analysis algorithm based on Hadoop to realize the analysis of the enterprise financial balance condition according to the target data and outputting a corresponding analysis report.
Furthermore, the data mining module is configured with a dynamic authentication code, the financial system is configured with an authentication module used in cooperation with the dynamic authentication code, and after the authentication passes, the data mining module can mine corresponding financial income data and financial expense data.
Furthermore, the data mining module is provided with a dynamic encryption module for realizing random encryption of the mined financial income data and financial expenditure data, and a dynamic decryption module is arranged in the corresponding cloud platform for realizing decryption processing of the financial income data and the financial expenditure data.
Further, the data preprocessing module classifies the financial income data and the financial expenditure data based on random forests, and then calls corresponding format standardization rules according to classification results to realize format standardization processing of the corresponding financial income data and the corresponding financial expenditure data.
Further, the target data acquisition module runs a preset target data calculation algorithm based on Hadoop to acquire the target data based on the financial income data and the financial expense data which are subjected to classification and format standardization processing.
Further, the break-even analysis model and/or the break-even analysis algorithm adopts a neural network model and/or a fuzzy neural network algorithm.
Further, still include:
the self-defined early warning module is used for realizing the self-definition of the income and expenditure early warning threshold of an enterprise and acquiring a corresponding early warning model according to the self-defined early warning threshold training;
and the GSM early warning module is used for starting and stopping the evaluation result of the financial income data/financial expenditure data/target data based on the early warning model and automatically editing and sending the corresponding early warning short message according to the evaluation result.
Further, a data marking module is configured in the data mining module and is used for configuring a hyperlink mark corresponding to specific financial information for each piece of financial income data and financial expenditure data, when the specific financial information needs to be considered, the hyperlink mark is automatically unlocked to be in a readable mode, and the rest data processing and analyzing stages are in a locking unreadable mode.
The invention has the following beneficial effects:
1) the automatic acquisition and the preprocessing of the financial income and expenditure data of the enterprise are realized, the workload of workers is greatly reduced, and the problems of mistakes and omission existing in the manual data acquisition process are well avoided.
2) Based on Hadoop running a preset balance analysis model and/or a preset balance analysis algorithm, abnormal data existing in the financial balance condition of an enterprise can be discovered in time by cooperating with the design of a custom early warning module, so that managers can be reminded to take corresponding treatment measures in time.
3) Based on the optimal design of the data mining module, when the active mining of the financial income data and the financial expenditure data of an enterprise can be realized, the safety of the financial income data and the financial expenditure data is ensured, meanwhile, a hyperlink mark corresponding to the specific financial information of each financial income data and financial expenditure data is configured, and when different analysis requirements can be met, the calling of follow-up financial staff to the financial information is greatly facilitated.
Drawings
Fig. 1 is a system block diagram of an enterprise financial balance analysis system based on a cloud platform according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in detail below with reference to examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, an embodiment of the present invention provides an enterprise financial income and expense analysis system based on a cloud platform, including a data mining module and a cloud platform where the data mining module implements communication, where the data mining module is configured to mine corresponding financial income data and financial expense data in a financial system according to a preset income and expense data mining rule; the cloud platform internally loads:
the data preprocessing module is used for realizing the classification of the financial income data and the financial expenditure data and realizing the format standardization processing of the corresponding financial income data and the corresponding financial expenditure data according to the format standardization rule corresponding to each type;
the target data acquisition module is used for acquiring target data based on financial income data and financial expense data which are subjected to classification and format standardization processing based on a preset algorithm;
the balance analysis module is used for running a preset balance analysis model and/or a balance analysis algorithm based on Hadoop to realize the analysis of the enterprise financial balance condition according to the target data and outputting a corresponding analysis report; the balance analysis model and/balance analysis algorithm adopts a neural network model and/or a fuzzy neural network algorithm;
the self-defined early warning module is used for realizing the self-definition of the income and expenditure early warning threshold of an enterprise and acquiring a corresponding early warning model according to the self-defined early warning threshold training;
and the GSM early warning module is used for starting and stopping the evaluation result of the financial income data/financial expenditure data/target data based on the early warning model and automatically editing and sending the corresponding early warning short message according to the evaluation result. The sent early warning short message at least comprises a corresponding early warning threshold, current financial income data (with specific financial information)/financial expenditure data (with specific financial information)/target data.
In this embodiment, the data mining module is configured with a dynamic authentication code, the financial system is configured with an authentication module used in cooperation with the dynamic authentication code, and after the authentication passes, the data mining module can mine corresponding financial income data and financial expense data. The dynamic authentication code randomly changes according to preset time, correspondingly, the authentication module receives a corresponding authentication program according to a randomly changed result, when the data mining module enters the financial system, firstly, an authentication request is initiated, then, the authentication is realized through the authentication module, and after the authentication is passed, the corresponding financial database can mine financial income data and financial expense data.
In this embodiment, the data mining module is configured with a dynamic encryption module for implementing random encryption of the mined financial income data and financial expense data, and a dynamic decryption module is configured in the corresponding cloud platform for implementing decryption processing of the financial income data and financial expense data. The dynamic encryption module adopts a working mode of randomly calling the encryption algorithm, after the dynamic encryption module finishes updating the encryption algorithm, corresponding updating codes (each encryption algorithm is configured with an independent updating code) are sent to the dynamic decryption module, and the dynamic decryption module synchronously finishes updating the decryption algorithm.
In this embodiment, the data preprocessing module implements classification of the financial income data and the financial expenditure data based on a random forest (for example, classification according to names of cooperating companies, classification according to time, financial income account name, and financial expenditure account name), and then invokes a corresponding format standardization rule according to a classification result to implement format standardization processing of the corresponding financial income data and financial expenditure data.
In this embodiment, the target data acquisition module operates a preset target data calculation algorithm based on Hadoop to acquire the target data based on the financial income data and the financial expense data which are subjected to classification and format standardization processing.
In this embodiment, a data marking module is configured in the data mining module, and is configured to configure a hyperlink label corresponding to specific financial information for each piece of financial income data and financial expenditure data, when the specific financial information needs to be considered, the hyperlink label is automatically unlocked to be in a readable mode, other data processing and analyzing stages are in a locking unreadable mode, and in addition, when financial staff perform financial income data and financial expenditure data, the corresponding specific financial information can be viewed by clicking the hyperlink label.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention.
Claims (8)
1. The utility model provides an enterprise financial affairs income and expenditure analytic system based on cloud platform which characterized in that: the method comprises the following steps:
the data mining module is used for mining corresponding financial income data and financial expenditure data in the financial system according to a preset income and expenditure data mining rule;
the data preprocessing module is used for realizing the classification of the financial income data and the financial expenditure data and realizing the format standardization processing of the corresponding financial income data and the corresponding financial expenditure data according to the format standardization rule corresponding to each type;
the target data acquisition module is used for acquiring target data based on financial income data and financial expense data which are subjected to classification and format standardization processing based on a preset algorithm;
and the balance analysis module is used for operating a preset balance analysis model and/or a balance analysis algorithm based on Hadoop to realize the analysis of the enterprise financial balance condition according to the target data and outputting a corresponding analysis report.
2. The cloud platform-based enterprise financial balance analysis system of claim 1, wherein: the data mining module is configured with a dynamic identity verification code, the financial system is internally configured with an identity verification module matched with the dynamic identity verification code, and after the identity verification passes, the data mining module can mine corresponding financial income data and financial expenditure data.
3. The cloud platform-based enterprise financial balance analysis system of claim 1, wherein: the data mining module is provided with a dynamic encryption module for realizing random encryption of the mined financial income data and financial expenditure data, and a dynamic decryption module is arranged in the corresponding cloud platform for realizing decryption processing of the financial income data and the financial expenditure data.
4. The cloud platform-based enterprise financial balance analysis system of claim 1, wherein: the data preprocessing module classifies the financial income data and the financial expenditure data based on random forests, and then calls corresponding format standardization rules according to classification results to realize format standardization processing of the corresponding financial income data and the corresponding financial expenditure data.
5. The cloud platform-based enterprise financial balance analysis system of claim 1, wherein: the target data acquisition module runs a preset target data calculation algorithm based on Hadoop and acquires target data based on financial income data and financial expense data which are subjected to classification and format standardization processing.
6. The cloud platform-based enterprise financial balance analysis system of claim 1, wherein: the balance analysis model and/or the balance analysis algorithm adopt a neural network model and/or a fuzzy neural network algorithm.
7. The cloud platform-based enterprise financial balance analysis system of claim 1, wherein: further comprising:
the self-defined early warning module is used for realizing the self-definition of the income and expenditure early warning threshold of an enterprise and acquiring a corresponding early warning model according to the self-defined early warning threshold training;
and the GSM early warning module is used for starting and stopping the evaluation result of the financial income data/financial expenditure data/target data based on the early warning model and automatically editing and sending the corresponding early warning short message according to the evaluation result.
8. The cloud platform-based enterprise financial balance analysis system of claim 1, wherein: and a data marking module is configured in the data mining module and is used for configuring a hyperlink mark corresponding to specific financial information for each piece of financial income data and financial expenditure data, when the specific financial information needs to be considered, the hyperlink mark is automatically unlocked into a readable mode, and the rest data processing and analyzing stages are in a locking unreadable mode.
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Cited By (7)
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| CN112529680A (en) * | 2021-01-07 | 2021-03-19 | 信阳农林学院 | Financial data processing system |
| CN112632156A (en) * | 2021-01-29 | 2021-04-09 | 赵琰 | Big data-based computer data analysis and management system |
| CN112967122A (en) * | 2021-02-05 | 2021-06-15 | 马晓华 | Financial management system |
| CN113065938A (en) * | 2021-04-12 | 2021-07-02 | 信阳农林学院 | Financial data processing method and system |
| CN113095926A (en) * | 2021-05-07 | 2021-07-09 | 武汉平行世界网络科技有限公司 | Financial data processing system |
| CN116362906A (en) * | 2023-05-15 | 2023-06-30 | 华中科技大学同济医学院附属协和医院 | Expense management method for improving accuracy |
| CN117952483A (en) * | 2024-03-27 | 2024-04-30 | 中国汽车技术研究中心有限公司 | Digital platform-based balance index monitoring method, system and medium thereof |
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