Enterprise finance and tax data analysis system and method based on big data

Abstract

The invention belongs to the technical field of enterprise finance and taxation data analysis, and particularly relates to an enterprise finance and taxation data analysis system and method based on big data, and the system comprises a finance and taxation data collection module which is used for obtaining enterprise finance and taxation data and finance and taxation data disclosed by companying enterprises; the enterprise finance and tax data comprises enterprise finance data and enterprise tax data; the enterprise financial data comprises enterprise income data and expenditure data, the enterprise income data comprises the sales amount of enterprise products and the sales profit of the enterprise products, and the enterprise expenditure data comprises the cost of the enterprise products and the tax data of the enterprise products; the specific calculation mode of the sales profit of the enterprise product is that difference calculation is carried out on the sales amount of the enterprise product and the expenditure data; a finance and tax data analysis module; and the early warning module outputs early warning information based on the analysis result of the finance and tax data analysis module.

Description

Technical Field

[0001] The present invention belongs to the technical field of enterprise financial and tax data analysis, and specifically relates to an enterprise financial and tax data analysis system and method based on big data. Background Art

[0002] Finance and taxation refer to finance and taxation, which involves the management of corporate income and expenditure, as well as the collection and use of taxes. By obtaining the company's financial and taxation data, financial data includes the company's income data and expenditure data. The company's income data is the sales amount of its products and the sales profit of its products. The company's expenditure data includes the cost of its products and the tax data of its products. Under normal operation, the company needs to analyze these data.

[0003] Financial and tax analysis can provide accurate and comprehensive financial and tax information to help managers make wise decisions; by analyzing financial statements, tax data, etc., we can understand the profitability of the company.

[0004] Traditional financial and tax analysis mainly relies on the professional knowledge of financial and tax personnel, lacks the support of big data technology, and is unable to extract and analyze the correlation patterns between data from massive financial and tax data. It is also difficult to adaptively adjust the sales of corporate products and increase sales profits based on the results of financial and tax analysis.

[0005] To this end, the present invention provides an enterprise financial and tax data analysis system and method based on big data. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve its technical problem is: an enterprise financial and tax data analysis system based on big data described in the present invention: It includes a financial and taxation data collection module: the financial and taxation data collection module is used to obtain the financial and taxation data of the enterprise and the financial and taxation data disclosed by peer enterprises; the financial and taxation data of the enterprise includes: enterprise financial data and enterprise taxation data; The enterprise financial data includes the enterprise's income data and expenditure data. The enterprise's income data is the sales amount of the enterprise's products and the sales profit of the enterprise's products. The enterprise's expenditure data includes the cost of the enterprise's products and the tax data of the enterprise's products. The cost of enterprise products includes: enterprise product R&D and production costs, other enterprise costs (other enterprise costs include enterprise logistics, after-sales, department production personnel costs, etc.); The specific method of calculating the sales profit of the enterprise's products is: calculating the difference between the sales amount of the enterprise's products and the expenditure data; Financial and tax data analysis module: The financial and tax data analysis module is used to analyze whether the financial data and tax data of the enterprise at the current time are normal (the current time specifically refers to the real-time time period, such as the financial data and tax data of the enterprise from the previous cycle to the current time point, and the previous cycle can be the previous week or the first half of the month); Early warning module: The early warning module outputs early warning information based on the analysis results of the financial and taxation data analysis module.

[0008] Preferably, the financial and tax data analysis module analyzes the current corporate financial data and tax data in the following ways: Establish a historical database: The database includes the historical sales amount and the historical sales profit of the enterprise, and establishes a historical time trend curve of the historical sales amount and the historical sales profit to observe the fluctuation trend of the historical sales profit with the sales amount at different times; Compare the current time period with the time on the historical time trend curve. If the current time is the same as a period on the historical time trend curve, compare the sales amount and sales profit of the enterprise at the current time with the sales amount and sales profit of the same period on the historical time trend curve. And judge whether the sales amount and sales profit of the enterprise at the current time are normal. If the sales amount and sales profit of the enterprise at the current time are abnormal, the early warning module outputs early warning information. Otherwise, the sales amount and sales profit of the enterprise are normal. Determine whether the corresponding tax data is normal based on the company's sales amount and sales profit: if the company's sales profit is abnormal at the current time, the corresponding tax data is also abnormal; (Specifically, when the company's sales profit is abnormal, the company's tax data, that is, the value-added tax return data, will be abnormal. Therefore, through real-time supervision of the company's sales amount and sales profit, the normality and consistency of the tax data can be ensured to avoid tax risks).

[0009] Preferably, judging whether the sales amount and sales profit of the enterprise at the current time are normal is specifically as follows: Get the current enterprise sales amount data and sales profit data; And calculate the current enterprise sales amount change rate in continuous cycles and the sales profit rate of the enterprise ; Among them, the change rate of enterprise sales amount ;in is the enterprise sales amount data at the current time, The sales amount data of the enterprise in the previous period; the sales profit change rate ;in is the enterprise sales profit data at the current time, It is the sales and profit data of the enterprise in the previous period; If the rate of change of the enterprise sales amount at the current time and sales profit rate of change If the rate of change of enterprise sales amount and sales profit is less than the lowest point on the historical time trend curve, it means that the corresponding enterprise sales amount and sales profit at the current time are abnormal, and the corresponding tax data is also abnormal, then the early warning module outputs an early warning signal.

[0010] Preferably, the enterprise financial and tax data analysis system further includes an enterprise product analysis management unit: the enterprise product analysis management unit analyzes the products with abnormal sales amount and sales profit of the enterprise based on the abnormal sales amount and sales profit of the enterprise at the current time (because the sales amount and sales profit of the enterprise are directly linked to the sales of the enterprise's products, so when this happens, the products sold by the enterprise need to be analyzed), specifically: obtain the sales volume of the abnormal products of the enterprise at the current time , and the number of complaints about abnormal products and the amount of returns , based on the number of complaints about abnormal products and the amount of returns Analyze the reasons for complaints and returns of abnormal products; The reasons for complaints include logistics and transportation problems and product quality issues, and the reasons for returns include product quality issues, wrong product purchases, and problems with peer companies developing corresponding new products. A mapping relationship is established between different problems and the enterprise product analysis management unit, and different signals are output based on different problems through the enterprise product analysis management unit.

[0011] Preferably, the enterprise product analysis management unit outputs different signals based on different problems, specifically: Create a collection of questions for abnormal products: ;Mark the most frequently appearing questions in the question set; If the most frequent problem is a logistics and transportation problem, the enterprise product analysis unit outputs a signal to optimize the logistics and transportation of the corresponding abnormal products; If the most frequent problem is product quality or a problem with the development of new products by peer companies, the company's product analysis unit will output a corresponding abnormal product update signal; by comparing the company's sales amount and sales profit with data from the same industry, we can better understand the company's performance and competitiveness. If the company's sales and profit performance is poor, we can find out the reasons by comparing data from the same industry and take corresponding measures to improve it. If the most frequent problem is the problem of buying the wrong product, then the enterprise product analysis unit outputs the normal sale of the corresponding abnormal product; Specifically, by obtaining the sales volume of abnormal products in a period of time , and based on these sales Collect the problems that occur in the process, store all the problems in a set, and formulate corresponding measures based on the most frequent problems; For example, if it is a logistics and transportation problem, the logistics provider of the abnormal product needs to be changed. If it is a product quality problem or a problem with the development of new products by peer companies, the abnormal products need to be updated to improve the applicability of the abnormal products and increase their sales amount and sales profit. If the most frequent problem is buying the wrong product, it is necessary to increase communication between the company's customer service and customers to improve customer needs.

[0012] Preferably, the enterprise product analysis management unit also proposes update measures when the corresponding abnormal product needs to be updated, specifically: Based on the sales volume of abnormal products at the current time , obtain the income data and expenditure data of the abnormal single product of the enterprise, and calculate the sales profit of the abnormal single product of the enterprise, that is, calculate the difference between the sales amount of the abnormal single product of the enterprise and the expenditure data of the corresponding single product: If the sales profit of the corresponding abnormal single product is greater than 0, the sale of the corresponding abnormal product at the current time is profitable, and the enterprise product analysis management unit outputs a signal that the corresponding product is sold first and updated; Otherwise, the enterprise product analysis management unit outputs a corresponding product removal signal; Specifically, if the product at the current time is abnormal and the profit from the sale of a single product is less than 0, the corresponding product should be removed from the shelves in a timely manner, and the corresponding goods produced should be used for other purposes and gradually removed from the shelves. If the profit from the sale of a single product is greater than 0, the corresponding product still has a profit when it is sold, but the profit is not high. At this time, the corresponding product needs to be updated in order to obtain higher profits.

[0013] Preferably, the enterprise product analysis management unit outputs a corresponding product first-sold and updated signal, specifically: First, obtain the inventory of abnormal products corresponding to the current time , and the development and official use cycle required for abnormal products , and based on the current product inventory and cycle To adjust the sales model of the corresponding products, the sales model includes clearance sales and replenishment sales: Calculate the period from the current time to the development and official use of the corresponding product The number of products that can be sold ; The number of products that can still be sold With current inventory Make a comparison; If the number of products that can still be sold Greater than or equal to the current inventory , then the enterprise product analysis management unit outputs a clearance sales signal for the corresponding product; If the number of products that can still be sold Less than current inventory , then the enterprise product analysis management unit outputs the corresponding product replenishment sales signal.

[0014] Preferably, when the enterprise product analysis management unit outputs a corresponding product replenishment sales signal, the replenishment sales quantity is specifically: marking the current time as , the time required for the product to be developed and officially used is marked as , calculate the difference between the two and get the current abnormal product sales cycle ; Set the current time And the current abnormal product can still be sold for a period of time Perform difference calculation to get the corresponding last time point , Said To current time The number of days between is equal to the current time arrive The number of days between To current time The sales volume of abnormal products , then the corresponding number of products that can still be sold Should be less than or equal to , that is, the corresponding abnormal product replenishment sales quantity is less than .

[0015] Preferably, the clearance sale signal includes a product bundling sale measure, and the product update signal includes a differentiated product update measure.

[0016] Preferably, a method for analyzing enterprise financial and tax data based on big data comprises the following steps: S1, acquiring enterprise financial and tax data and financial and tax data disclosed by peer enterprises through a financial and tax data acquisition module; S2. Analyze the financial and tax data of the enterprise at the current time through the financial and tax data analysis module to see whether it is normal; S3. Output warning information through analysis results based on the financial and taxation data analysis module.

[0017] The beneficial effects of the present invention are as follows: The enterprise finance and tax data analysis system and method based on big data described in the present invention can analyze the causes of problems with the sales amount and sales profit by analyzing the causes of problems with the sales amount and sales profit. The main problems affecting the sales amount and sales profit are logistics and transportation problems, product quality problems, wrong product purchase problems, and problems with the development of corresponding new products by peer companies. After that, by timely monitoring the current problems, emergency response measures can be quickly made, and the enterprise's financial data can be normalized, and the enterprise's sales profits can be gradually improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention will be further described below in conjunction with the accompanying drawings.

[0019] Figure 1 is a system flow chart of the present invention; Figure 2 It is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0020] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0021] like Figure 1 As shown, an enterprise finance and taxation data analysis system based on big data according to an embodiment of the present invention includes a finance and taxation data acquisition module, a finance and taxation data analysis module and an early warning module; Financial and taxation data collection module: The financial and taxation data collection module is used to obtain corporate financial and taxation data and financial and taxation data disclosed by peer companies; the corporate financial and taxation data includes: corporate financial data and corporate taxation data; The enterprise financial data includes the enterprise's income data and expenditure data. The enterprise's income data is the sales amount of the enterprise's products and the sales profit of the enterprise's products. The enterprise's expenditure data includes the cost of the enterprise's products and the tax data of the enterprise's products. The cost of enterprise products includes: enterprise product R&D and production costs, other enterprise costs (other enterprise costs include enterprise logistics, after-sales, department production personnel costs, etc.); The specific method of calculating the sales profit of the enterprise's products is: calculating the difference between the sales amount of the enterprise's products and the expenditure data; Financial and tax data analysis module: The financial and tax data analysis module is used to analyze whether the financial data and tax data of the enterprise at the current time are normal (the current time specifically refers to the real-time time period, such as the financial data and tax data of the enterprise from the previous cycle to the current time point, and the previous cycle can be the previous week or the first half of the month); Early warning module: The early warning module outputs early warning information based on the analysis results of the financial and tax data analysis module; Specifically, finance and taxation refer to finance and taxation, which involves the management of corporate income and expenditure, as well as the collection and use of taxes. By obtaining the financial and taxation data of the enterprise, the financial data includes the income data and expenditure data of the enterprise. The income data of the enterprise is the sales amount and sales profit of the enterprise's products. The expenditure data of the enterprise includes the cost of the enterprise's products and the tax data of the enterprise's products. By analyzing the company's sales amount, sales profit and sales cost, we help companies optimize financial management and predict risks in the financial sales process. We use the financial and tax data analysis module to help companies with tax planning and reasonable tax avoidance. Through big data analysis, we help companies prepare and control budgets more accurately. Then, we use the early warning module to analyze historical data and real-time data, predict potential financial and tax risks, and issue early warnings in a timely manner. This can help companies optimize financial management, predict financial risks, ensure tax compliance and respond to changes in financial and tax policies in a timely manner.

[0022] The financial and tax data analysis module analyzes the current corporate financial data and tax data specifically as follows: Establish a historical database: The database includes the historical sales amount and the historical sales profit of the enterprise, and establishes a historical time trend curve of the historical sales amount and the historical sales profit to observe the fluctuation trend of the historical sales profit with the sales amount at different times; Compare the current time period with the time on the historical time trend curve. If the current time is the same as a period on the historical time trend curve, compare the sales amount and sales profit of the enterprise at the current time with the sales amount and sales profit of the same period on the historical time trend curve. And judge whether the sales amount and sales profit of the enterprise at the current time are normal. If the sales amount and sales profit of the enterprise at the current time are abnormal, the early warning module outputs early warning information. Otherwise, the sales amount and sales profit of the enterprise are normal. If the sales amount and sales profit of the enterprise at the current time are abnormal, the sales amount and sales profit of the corresponding products of the enterprise are also abnormal. (Among them, abnormal mainly refers to that the sales amount and sales profit at the current time point are much smaller than the sales amount and sales profit on the corresponding historical time trend curve, and normal refers to that the sales amount and sales profit at the current time point are similar to the sales amount and sales profit on the corresponding historical time trend curve. Because the sales amount of the enterprise and the sales amount of the enterprise's products are the same, when the sales amount of the enterprise is abnormal, the sales amount of the corresponding products is also abnormal); Based on the sales amount and sales profit of the enterprise, determine whether the corresponding tax data is normal: if the sales profit of the enterprise at the current time is abnormal, the corresponding tax data is also abnormal; (Specifically, when the sales profit of the enterprise is abnormal, the tax data of the enterprise, i.e. the data of the VAT return form, will be abnormal. Therefore, by real-time monitoring of the sales amount and sales profit of the enterprise, the normality and consistency of the tax data can be ensured to avoid tax risks); Specifically, when analyzing the financial and tax information of an enterprise, we must first determine the type of financial and tax information, where financial and tax information includes the product information of the enterprise, and the product information of the enterprise includes the sales amount, sales profit and sales cost of the enterprise's products. By periodically obtaining the sales amount, sales profit and sales cost of different product information, and based on different historical cycles, the sales amount, sales profit and sales cost are monitored for fluctuation cycles, and a historical time trend curve is established. Subsequently, the sales amount, sales profit and sales cost in the current real-time financial and tax information of the enterprise are analyzed, and the fluctuation cycles of the three are placed in the fluctuation cycle position of the historical time trend curve. Based on the current fluctuation cycle, it is judged whether the current sales amount and sales profit of the enterprise are normal.

[0023] To determine whether the sales amount and sales profit of the enterprise at the current time are normal, the specific steps are: Get the current enterprise sales amount data and sales profit data; And calculate the current enterprise sales amount change rate in continuous cycles and the sales profit rate of the enterprise ; The change rate of enterprise sales amount ;in is the enterprise sales amount data at the current time, It is the sales amount data of the enterprise in the previous period; Sales profit change rate ;in The current corporate sales profit data, It is the sales and profit data of the enterprise in the previous period; If the rate of change of the enterprise sales amount at the current time and sales profit rate of change If the sales amount change rate and sales profit change rate of the enterprise are less than the lowest point on the historical time trend curve, it indicates that the sales amount and sales profit of the corresponding enterprise at the current time are abnormal, and the corresponding tax data is also abnormal, and then the early warning module outputs an early warning signal; specifically, in the embodiment of the present invention, the continuous cycle can be once a week or once every half a month, and the current enterprise product sales amount change rate is calculated in the continuous cycle The sales profit rate of the corresponding products of the enterprise , and calculate the change rate of enterprise sales amount and sales profit rate of change , through the change rate of enterprise sales amount and sales profit rate of change By comparing the change rate of the enterprise sales amount and the change rate of sales profit at the lowest point on the historical time trend curve, we can quickly monitor whether the sales amount and sales profit of the corresponding enterprise products are normal, thereby improving product sales and avoiding abnormal financial data of the enterprise; the specific data can be explained based on the following data: For example, if the current time is August 1st, the sales amount data and sales profit data for the two weeks before August 1st are obtained. If the current time is August 1st and the sales amount is 100,000 yuan, and the sales profit is 80,000 yuan, the sales amount data and sales profit data for the two weeks before August 1st are 120,000 yuan, 90,000 yuan, 110,000 yuan, and 80,000 yuan respectively. The change rate of the enterprise sales amount from the current time to the previous week is , sales profit change rate ; Change rate of enterprise sales amount from the previous week to the week before last , sales profit change rate The change rate of the enterprise sales amount and the change rate of sales profit at the lowest point on the historical time trend curve can be 0.2 and 0.18 respectively. In this way, the change rate of the current enterprise sales amount in two consecutive weeks and the sales profit rate of the enterprise If the rate of change of enterprise sales amount and sales profit is less than the lowest point on the historical time trend curve, it means that the corresponding enterprise sales amount and sales profit at the current time are abnormal, and the corresponding tax data is also abnormal.

[0024] The enterprise finance and taxation data analysis system also includes an enterprise product analysis management unit: The enterprise product analysis management unit analyzes the products with abnormal sales amount and sales profit based on the current time when the sales amount and sales profit of the enterprise are abnormal (because the sales amount and sales profit of the enterprise are directly linked to the product sales of the enterprise, when this happens, the products sold by the enterprise need to be analyzed), specifically: Get the sales volume of abnormal products of the enterprise at the current time , and the number of complaints about abnormal products and the amount of returns , based on the number of complaints about abnormal products and the amount of returns Analyze the reasons for complaints and returns of abnormal products; The reasons for complaints include logistics and transportation problems and product quality issues, and the reasons for returns include product quality issues, wrong product purchases, and problems with peer companies developing corresponding new products. Establish a mapping relationship between different problems and the enterprise product analysis management unit, and output different signals based on different problems through the enterprise product analysis management unit; Specifically, if the sales amount and sales profit are abnormal at the current time, it will affect the corresponding tax data. By analyzing the reasons for the problems with the sales amount and sales profit, the main problems affecting the sales amount and sales profit are logistics and transportation problems, product quality problems, wrong product purchase problems, and peer companies developing corresponding new products. After that, through timely monitoring of current problems, emergency response measures can be quickly made, and the company's financial data can be normalized, and the company's sales profit can be gradually increased. The current time period refers to one week or half a month.

[0025] The enterprise product analysis management unit outputs different signals based on different issues, specifically: Create a collection of questions for abnormal products: ;Mark the most frequently appearing questions in the question set; If the most frequent problem is a logistics and transportation problem, the enterprise product analysis unit outputs a signal to optimize the logistics and transportation of the corresponding abnormal products; If the most frequent problem is a product quality problem or a problem with the development of a new product by a peer company, the company's product analysis unit will output a corresponding abnormal product update signal; by comparing the company's sales amount and sales profit with data from the same industry, we can better understand the company's performance and competitiveness. If the company's sales and profit performance is not good, we can find out the reasons by comparing data from the same industry and take corresponding measures to improve it; If the most frequent problem is the problem of buying the wrong product, then the enterprise product analysis unit outputs the normal sale of the corresponding abnormal product; Specifically, by obtaining the sales volume of abnormal products in a period of time And based on the problems that occur in these sales, all problems are collected and stored in a set, and corresponding measures are formulated based on the most frequent problems; For example, if it is a logistics and transportation problem, the logistics provider of the abnormal product needs to be changed. If it is a product quality problem or a problem with the development of new products by peer companies, the abnormal products need to be updated to improve the applicability of the abnormal products and increase their sales amount and sales profit. If the most frequent problem is buying the wrong product, it is necessary to increase communication between the company's customer service and customers to improve customer needs.

[0026] The enterprise product analysis management unit also proposes update measures when the corresponding abnormal product needs to be updated, specifically: Based on the sales volume of abnormal products at the current time , obtain the income data and expenditure data of the abnormal single product of the enterprise, and calculate the sales profit of the abnormal single product of the enterprise, that is, calculate the difference between the sales amount of the abnormal single product of the enterprise and the expenditure data of the corresponding single product: If the sales profit of the corresponding abnormal single product is greater than 0, the sale of the corresponding abnormal product at the current time is profitable, and the enterprise product analysis management unit outputs a signal that the corresponding product is sold first and updated; Otherwise, the enterprise product analysis management unit outputs a corresponding product removal signal; Specifically, if the product at the current time is abnormal and the profit from the sale of a single product is less than 0, the corresponding product should be removed from the shelves in a timely manner, and the corresponding goods produced should be used for other purposes and gradually removed from the shelves. If the profit from the sale of a single product is greater than 0, the corresponding product still has a profit when it is sold, but the profit is not high. At this time, the corresponding product needs to be updated in order to obtain higher profits.

[0027] The enterprise product analysis management unit outputs a corresponding product first sale and update signal, specifically: First, obtain the inventory of abnormal products corresponding to the current time , and the development and official use cycle required for abnormal products , and based on the current product inventory and cycle To adjust the sales model of the corresponding products, the sales model includes clearance sales and replenishment sales: Calculate the period from the current time to the development and official use of the corresponding product The number of products that can be sold ; The number of products that can still be sold With current inventory For comparison; if the number of products that can still be sold Greater than or equal to the current inventory , then the enterprise product analysis management unit outputs a corresponding product clearance sales signal; If the number of products that can still be sold Less than current inventory , then the enterprise product analysis management unit outputs the corresponding product replenishment sales signal. When the enterprise product analysis management unit outputs the corresponding product replenishment sales signal, the replenishment sales quantity is specifically: mark the current time as , the time required for the product to be developed and officially used is marked as , calculate the difference between the two and get the current abnormal product sales cycle ; Set the current time And the current abnormal product can still be sold for a period of time Perform difference calculation to get the corresponding last time point ; Said To current time The number of days between is equal to the current time arrive The number of days between To current time The sales volume of abnormal products , then the corresponding number of products that can still be sold Should be less than or equal to , that is, the corresponding abnormal product replenishment sales quantity is less than ; Specifically, when the current time is marked as , the time required for the product to be developed and officially used is marked as , the number of days calculated by the difference between the two , and trace back to the previous time point of the current time based on this number of days , through the last time point The sales volume of abnormal products from the current time to the current time is calculated. Products that are still needed, because there are return issues, the number of products that can still be sold will be Should be less than or equal to , the replenishment sales quantity of abnormal products is less than , so these quantities are needed to keep the company profitable during this time period; Specifically, through the above content, this embodiment makes the following example: when the company's products are still profitable when sold at the current time, in order to ensure that the company can obtain the maximum profit, the corresponding products need to continue to be sold before production. For example, the current time is August 1st, and the production time of the corresponding products is two weeks, that is, , that is, two weeks later, on August 15, the product can be sold to make money. At this time, we first trace back the current August 1st to two weeks, that is, July 17th, that is, , get The sales volume of the corresponding product from July 17 to August 1 is 100 units. Therefore, in the next two weeks, the corresponding product can only be purchased for a maximum of 100 pieces, that is, the production quantity cannot exceed 100 pieces, that is, the number of products that can still be sold Should be less than or equal to , and if the current product inventory There are still 60 pieces, so the sales quantity that needs to be replenished should be less than 40 pieces. This can ensure that the company's profits are maximized and the company's profitability and tax data are kept normal.

[0028] The clearance sale signal includes a product bundling sale measure, and the product update signal includes a differentiated product update measure.

[0029] A method for analyzing corporate finance and taxation data based on big data, comprising the following steps: S1. Obtain the enterprise's financial and tax data and the financial and tax data disclosed by peer companies through the financial and tax data collection module; S2. Analyze the financial and tax data of the enterprise at the current time through the financial and tax data analysis module to see whether it is normal; S3. Output warning information through analysis results based on the financial and taxation data analysis module.

[0030] The proportional factor coefficient is used to correct the deviation of various parameters in the process of formula calculation, so as to make the calculation result more accurate; the setting of the threshold value is for the convenience of comparison. The size of the threshold depends on the amount of sample data and the cardinality set by the technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value; the size of the coefficient is to quantify each parameter to obtain a specific value, which is convenient for subsequent comparison. The size of the coefficient depends on the amount of sample data and the technicians in this field preliminarily set the corresponding operating coefficient for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0031] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A corporate tax data analysis system based on big data, characterized in that: It includes a financial and taxation data collection module: the financial and taxation data collection module is used to obtain the financial and taxation data of the enterprise and the financial and taxation data disclosed by peer enterprises; The enterprise finance and taxation data include: enterprise financial data and enterprise taxation data; The enterprise financial data includes the enterprise's income data and expenditure data. The enterprise's income data is the sales amount of the enterprise's products and the sales profit of the enterprise's products. The enterprise's expenditure data includes the cost of the enterprise's products and the tax data of the enterprise's products. The cost of enterprise products includes: enterprise product R&D and production costs, and other enterprise costs; The specific method of calculating the sales profit of the enterprise's products is: calculating the difference between the sales amount of the enterprise's products and the expenditure data; Financial and tax data analysis module: The financial and tax data analysis module is used to analyze whether the financial data and tax data of the enterprise at the current time are normal; Early warning module: The early warning module outputs early warning information based on the analysis results of the financial and taxation data analysis module.

2. According to the big data-based enterprise tax data analysis system of claim 1, it is characterized in that: The financial and tax data analysis module analyzes the current corporate financial data and tax data specifically as follows: Establish a historical database: The database includes the historical sales amount and the historical sales profit of the enterprise, and establishes a historical time trend curve of the historical sales amount and the historical sales profit to observe the fluctuation trend of the historical sales profit with the sales amount at different times; Compare the current time period with the time on the historical time trend curve. If the current time is the same as a period on the historical time trend curve, compare the sales amount and sales profit of the enterprise at the current time with the sales amount and sales profit of the same period on the historical time trend curve. And judge whether the sales amount and sales profit of the enterprise at the current time are normal. If the sales amount and sales profit of the enterprise at the current time are abnormal, the early warning module outputs early warning information. Otherwise, the sales amount and sales profit of the enterprise are normal. If the sales amount and sales profit of the enterprise at the current time are abnormal, the sales amount and sales profit of the corresponding products of the enterprise are also abnormal. Based on the company's sales amount and sales profit, determine whether the corresponding tax data is normal: if the company's sales profit is abnormal at the current time, the corresponding tax data is also abnormal.

3. According to the big data-based enterprise tax data analysis system of claim 2, it is characterized in that: To determine whether the sales amount and sales profit of the enterprise at the current time are normal, the specific steps are: Get the current enterprise sales amount data and sales profit data; And calculate the current enterprise sales amount change rate in continuous cycles and the sales profit rate of the enterprise ; The change rate of enterprise sales amount ;in is the enterprise sales amount data at the current time, The sales amount data of the enterprise in the previous period; the sales profit change rate ;in is the enterprise sales profit data at the current time, It is the sales and profit data of the enterprise in the previous period; If the rate of change of the enterprise sales amount at the current time and sales profit rate of change If the rate of change of enterprise sales amount and sales profit is less than the lowest point on the historical time trend curve, it means that the corresponding enterprise sales amount and sales profit at the current time are abnormal, and the corresponding tax data is also abnormal, then the early warning module outputs an early warning signal.

4. According to the big data-based enterprise finance and taxation data analysis system of claim 3, it is characterized in that: The enterprise finance and taxation data analysis system also includes an enterprise product analysis management unit: The enterprise product analysis management unit analyzes products with abnormal sales amount and sales profit based on the current time when the enterprise sales amount and sales profit are abnormal, and subsequently marks them as abnormal products, specifically: Get the sales volume of abnormal products of the enterprise at the current time , and the number of complaints about abnormal products and the amount of returns , based on the number of complaints about abnormal products and the amount of returns Analyze the reasons for complaints and returns of abnormal products; the reasons for complaints include logistics and transportation problems and product quality problems, and the reasons for returns include product quality problems, wrong product purchases, and problems with peer companies developing corresponding new products; A mapping relationship is established between different problems and the enterprise product analysis management unit, and different signals are output based on different problems through the enterprise product analysis management unit.

5. According to the big data-based enterprise tax data analysis system of claim 4, it is characterized in that: The enterprise product analysis management unit outputs different signals based on different issues, specifically: Create a collection of questions for abnormal products: ;Mark the most frequently appearing questions in the question set; If the most frequent problem is a logistics and transportation problem, the enterprise product analysis unit outputs a signal to optimize the logistics and transportation of the corresponding abnormal products; If the most frequent problem is a product quality problem or a problem with the development of a corresponding new product by a peer enterprise, the enterprise product analysis unit will output a corresponding abnormal product update signal; If the most frequent problem is the problem of buying the wrong product, then the enterprise product analysis unit outputs the normal sale of the corresponding abnormal product.

6. The enterprise finance and taxation data analysis system based on big data according to claim 5 is characterized in that: The enterprise product analysis management unit also proposes update measures when the corresponding abnormal product needs to be updated, specifically: Based on the sales volume of abnormal products at the current time , obtain the income data and expenditure data of the abnormal single product of the enterprise, and calculate the sales profit of the abnormal single product of the enterprise, that is, calculate the difference between the sales amount of the abnormal single product of the enterprise and the expenditure data of the corresponding single product: If the sales profit of the corresponding abnormal single product is greater than 0, the sale of the corresponding abnormal product at the current time is profitable, and the enterprise product analysis management unit outputs a signal that the corresponding product is sold first and updated; Otherwise, the enterprise product analysis management unit outputs a corresponding product removal signal.

7. The enterprise finance and taxation data analysis system based on big data according to claim 6 is characterized in that: The enterprise product analysis management unit outputs a corresponding product first sale and update signal, specifically: First, obtain the inventory of abnormal products corresponding to the current time , and the development and official use cycle required for abnormal products , and based on the current product inventory and cycle To adjust the sales model of the corresponding products, the sales model includes clearance sales and replenishment sales: Calculate the period from the current time to the development and official use of the corresponding product The number of products that can be sold ; The number of products that can still be sold With current inventory Make a comparison; If the number of products that can still be sold Greater than or equal to the current inventory , then the enterprise product analysis management unit outputs a clearance sales signal for the corresponding product; If the number of products that can still be sold Less than current inventory , then the enterprise product analysis management unit outputs the corresponding product replenishment sales signal.

8. The enterprise finance and taxation data analysis system based on big data according to claim 7 is characterized in that: When the enterprise product analysis management unit outputs a corresponding product replenishment sales signal, the replenishment sales quantity is specifically: Mark the current time as , the time required for the product to be developed and officially used is marked as , calculate the difference between the two and get the current abnormal product sales cycle ; Set the current time And the current abnormal product can still be sold for a period of time , perform difference calculation to get the corresponding last time point ; Said To current time The number of days between is equal to the current time arrive The number of days between To current time The sales volume of abnormal products , then the corresponding number of products that can still be sold Should be less than or equal to , that is, the corresponding abnormal product replenishment sales quantity is less than .

9. The enterprise finance and taxation data analysis system based on big data according to claim 7 is characterized in that: The clearance sale signal includes a product bundling sale measure, and the product update signal includes a differentiated product update measure.

10. A method for analyzing corporate finance and taxation data based on big data, characterized in that: The following steps are involved: S1. Obtain the enterprise's financial and tax data and the financial and tax data disclosed by peer companies through the financial and tax data collection module; S2. Analyze the financial and tax data of the enterprise at the current time through the financial and tax data analysis module to see whether it is normal; S3. Output warning information through analysis results based on the financial and taxation data analysis module.

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