Enterprise operation abnormity monitoring system

Abstract

The invention discloses an enterprise operation abnormity monitoring system, and relates to the technical field of enterprise management, and the system comprises a data obtaining module which is used for obtaining financial statements in a historical preset period of an enterprise and operation comprehensive data of the current preset period of the enterprise; wherein the financial statement comprises a debt sheet and a profit sheet; the data analysis module is used for analyzing the financial statement to obtain historical enterprise operation comprehensive data; the first analysis module is used for analyzing the historical enterprise operation comprehensive data and generating a first enterprise operation warning value, and the data analysis module is further used for analyzing the operation comprehensive data in the current preset period and generating a first enterprise operation value; if the first enterprise operation value is smaller than or equal to the first operation warning value, the first early warning module generates an abnormal mark, the system can provide decision support based on data, the abnormal mark can be generated when the current operation condition deviates from the normal range, a manager clicks the abnormal mark, and the source of enterprise operation abnormity can be quickly found.

Description

Technical Field

[0001] The present invention relates to the technical field of enterprise management, and in particular to an enterprise operation abnormality monitoring system. Background Art

[0002] In the operation and development of modern enterprises, economic management plays a vital role. It is not only a way for enterprises to work around feasible and long-term strategic goals, but also the key to ensure that enterprises can achieve sustained and stable profit growth by introducing a systematic economic management system and using scientific methods to identify and solve management problems. Effective economic management can not only optimize resource allocation and improve operational efficiency, but also establish a set of incentive mechanisms to mobilize the enthusiasm of employees, thereby enhancing the overall competitiveness of the enterprise.

[0003] Traditional decision-making models often rely on managers' personal experience and intuition, lack data-based analytical support, and make it difficult to quickly and accurately identify problems in business operations. Summary of the invention

[0004] In order to solve the problem that the decision-making model in the prior art often relies on the personal experience and intuition of managers, lacks data-based analysis support, and is difficult to quickly and accurately discover problems in business operations, the present invention provides a business operation abnormality monitoring system.

[0005] The technical solution adopted by the present invention is: a system for monitoring abnormal business operations of an enterprise, comprising:

[0006] A data acquisition module, which is used to acquire the financial statements of the enterprise within the historical preset period and the comprehensive operating data of the enterprise within the current preset period; wherein the financial statements include the balance sheet and the income statement;

[0007] A data analysis module, the data analysis module is used to analyze the financial statements to obtain historical enterprise operation comprehensive data;

[0008] A first analysis module, the first analysis module is used to analyze the historical enterprise operation comprehensive data to generate the enterprise first operation warning value, and the data analysis module is also used to analyze the operation comprehensive data within the current preset period to generate the first enterprise operation value;

[0009] The first early warning module is used to compare the first enterprise operating value with the first operating warning value, and generate an abnormal mark if the first enterprise operating value is less than or equal to the first operating warning value.

[0010] Preferably, the first early warning module is used to compare the first enterprise operating value with the first operating warning value, and if the first enterprise operating value is less than or equal to the first operating warning value, generating an abnormal mark includes:

[0011] A response module, the response module is used to respond to the user's instruction to click the abnormal mark;

[0012] A decomposition module, the decomposition module is used to decompose the first enterprise operation value into multiple individual operation indicators;

[0013] A second analysis module, the second analysis module is used to analyze whether the plurality of single operating indicators meet corresponding preset operating conditions;

[0014] The second early warning module is used to display a single operating indicator that does not meet the preset operating conditions as an abnormal state.

[0015] Preferably, the historical enterprise operation comprehensive data includes historical enterprise operation profit rate data, and the operation comprehensive data within the current preset period includes the enterprise operation profit rate within the preset period;

[0016] The first analysis module is used to analyze the historical enterprise operation comprehensive data, and the generation of the enterprise first operation warning value includes the following contents:

[0017] A first analysis unit, the first analysis unit is used to analyze the historical enterprise operating profit rate data, and if the historical enterprise operating profit rate data is greater than a preset first threshold, generate a marginal profit warning value;

[0018] The first early warning module is used to compare the first enterprise operating value with the first operating warning value. If the first enterprise operating value is less than or equal to the first operating warning value, generating an abnormal mark includes:

[0019] A first comparison unit, the first comparison unit is used to compare the enterprise operating profit rate within a preset period with the marginal profit warning value;

[0020] The first early warning unit is used to generate a first abnormal mark if the business profit margin of the enterprise within a preset period is less than or equal to the marginal profit warning value.

[0021] Preferably, the first analysis module is used to analyze the historical enterprise operation comprehensive data, and generating the first enterprise operation warning value includes the following contents:

[0022] A second analysis unit, the second analysis unit is used to analyze the historical enterprise operating profit rate data, and if the historical enterprise operating profit rate data is less than or equal to a preset first threshold, generate an enterprise life warning value;

[0023] The first early warning module is used to compare the first enterprise operating value with the first operating warning value. If the first enterprise operating value is less than or equal to the first operating warning value, generating an abnormal mark includes:

[0024] A second comparison unit, the second comparison unit is used to compare the enterprise's operating profit rate within a preset period with the enterprise's life warning value;

[0025] The second early warning unit is used to generate a second abnormal mark if the business profit margin of the enterprise within a preset period is less than or equal to the enterprise life warning value.

[0026] Preferably, the first early warning unit is used to generate a first abnormal mark or the second early warning unit is used to generate a second abnormal mark, and comprises:

[0027] A response module, the response module is further used to respond to the user's instruction to click the first abnormal mark or the second abnormal mark;

[0028] A decomposition module, the decomposition module is further used to decompose the enterprise operating profit rate within the preset period into a plurality of individual operating indicators within the preset period; wherein the plurality of individual operating indicators within the preset period include a wage ratio, a material ratio, an inventory ratio, a payment collection rate, an operating expense ratio, a financial expense ratio, and an energy consumption ratio within the preset period;

[0029] A second analysis module, the second analysis module is further used to analyze whether the plurality of single operating indicators meet corresponding preset operating conditions;

[0030] The second early warning module is further used to display a single operating indicator that does not meet the preset operating conditions as an abnormal state.

[0031] Preferably, the second analysis module is further used to analyze whether the plurality of said single operating indicators meet the corresponding preset operating conditions, including the following contents: the second analysis module includes a third analysis unit;

[0032] The third analysis unit is used to analyze each historical single operating indicator and set the threshold conditions of each single operating indicator within a preset period;

[0033] The third analysis unit is also used to analyze whether each of the single operating indicators meets the corresponding preset threshold conditions;

[0034] The second early warning module is also used to display a single operating indicator that does not meet the preset operating conditions as an abnormal state, including:

[0035] The second early warning module is used to display a single operating indicator that does not meet a preset threshold condition as an abnormal state.

[0036] Preferably, the second analysis module is also used to analyze whether the plurality of single operating indicators meet the corresponding preset operating conditions; comprising the following contents: the second analysis module also includes a fourth analysis unit and a calculation unit;

[0037] When multiple single operating indicators meet the corresponding preset operating conditions; the fourth analysis unit is used to analyze each historical single operating indicator, select the maximum value of each historical single operating indicator from multiple historical single operating indicators in the historical period as the expected value, and use each single operating indicator in the preset period as the benchmark value;

[0038] The calculation unit is used to calculate the difference between the benchmark value of each single operating indicator and the expected value of each historical single operating indicator at a preset time interval to obtain a performance difference value data set of each single operating indicator;

[0039] The fourth analysis unit is used to analyze the change trend of the performance difference value of each single operating indicator based on the performance difference value data set of each single operating indicator;

[0040] The second early warning module is also used to display a single operating indicator that does not meet the preset operating conditions as an abnormal state, including:

[0041] The second early warning module is also used to mark a single operating indicator whose change trend does not match the preset change trend as an abnormal state.

[0042] Preferably, after a single operating indicator is displayed as abnormal, the following further includes:

[0043] The response module is also used to respond to a user clicking on an instruction displayed as a single operating indicator in an abnormal state, and display the name of the department or the list of relevant persons in charge related to the single operating indicator in an abnormal state.

[0044] The beneficial effects of the present invention are at least one of the following:

[0045] By systematically collecting and analyzing corporate financial statements and comprehensive operating data, the monitoring system can provide data-based decision support, reduce reliance on managers' personal experience and intuition, and make the decision-making process more scientific and objective.

[0046] The system can automatically obtain and analyze the latest financial data in real time or regularly, and compare and analyze it with historical data. Once it is found that the current operating conditions deviate from the normal range (that is, the first enterprise operating value is less than or equal to the first operating warning value), an abnormal mark can be generated, and enterprise managers can discover it in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A system block diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0049] like Figure 1As shown, this embodiment provides a system for monitoring abnormal business operations of an enterprise, including:

[0050] A data acquisition module, the data acquisition module is used to obtain the financial statements of the enterprise within the historical preset period and the comprehensive operating data of the enterprise within the current preset period; wherein the financial statements include the balance sheet and the income statement. A data parsing module, the data parsing module is used to parse the financial statements to obtain the historical comprehensive operating data of the enterprise. A first analysis module, the first analysis module is used to analyze the historical comprehensive operating data of the enterprise to generate the first operating warning value of the enterprise, and the data analysis module is also used to analyze the comprehensive operating data within the current preset period to generate the first operating value of the enterprise. A first warning module, the first warning module is used to compare the first operating value of the enterprise with the first operating warning value, and if the first operating value of the enterprise is less than or equal to the first operating warning value, an abnormal mark is generated.

[0051] It should be noted that the financial statements within the historical preset period refer to one or more continuous time periods set by the enterprise, such as the past 5 years, 3 years or 1 year, etc. The financial statements include the balance sheet and the income statement, which provide key information about the financial health of the enterprise in the past. In this embodiment, the balance sheet and income statement for the past 5 years can be obtained.

[0052] The comprehensive operating data of the current preset cycle of an enterprise refers to the comprehensive operating data collected and analyzed by the enterprise for real-time monitoring of operating conditions before the formal financial statements are issued. This part of the data is usually called real-time operating data or management accounting data. They are used for internal management and decision support, and do not necessarily conform to the financial reporting standards published externally. The main purpose of this type of data is to provide immediate feedback to help enterprises adjust strategies and solve problems in a timely manner.

[0053] According to the standard format of financial statements (such as Chinese accounting standards or international financial reporting standards), define a set of mapping rules to correspond each item in the report (such as assets, liabilities, income, costs, etc.) to the data model inside the system. Automatically identify and classify the data fields in the report through pre-set keyword matching or machine learning algorithms. For example, the location of important indicators such as "operating income", "operating costs", and "net profit" can be identified through a trained model. Based on the mapped data, a series of basic financial ratios such as current ratio, quick ratio, debt-to-asset ratio, gross profit margin, net profit margin, etc. are calculated to assess the financial health of the company, and trend analysis of data from multiple past cycles is performed to draw a curve chart of the changes in various financial indicators, which can intuitively display the long-term development trend of the company. The parsed data is stored in a relational database (such as MySQL, PostgreSQL) or other NoSQL databases suitable for large-scale data analysis (such as MongoDB).

[0054] The first analysis module conducts in-depth trend analysis on historical financial statements over multiple periods (e.g., 5 years) to identify the change patterns of key financial indicators (e.g., net profit margin, gross profit margin, debt-to-asset ratio, etc.). This helps to understand the long-term performance and development trends of the company.

[0055] In a possible implementation, the first analysis module can provide a basis for the subsequent establishment of benchmarks and warning lines based on the statistical characteristics of historical data such as the mean, standard deviation, maximum and minimum values. According to the above trend analysis and statistical characteristics, combined with the strategic goals and risk preferences of the enterprise, a reasonable warning standard can be set. For example, the lowest quarterly net profit margin in the past few years can be used as the first operating warning value, or the first operating warning value can be determined by referring to the average level of the same industry.

[0056] In a possible implementation, the first business warning value is displayed as a horizontal straight line, and the first enterprise business value can be displayed as a fluctuating curve over time. When the curve of the first enterprise business value intersects with the straight line of the first business warning value or is lower than the straight line of the first business warning value, a red abnormal mark is generated at the intersection of the curve of the first enterprise business value and the straight line of the first business warning value; or a red abnormal mark is generated on the curve of the first enterprise business value below the first business warning value straight line, and the enterprise manager can learn detailed abnormal information by clicking the red abnormal mark.

[0057] Considering that there are two situations where the curve of the first enterprise's operating value intersects the straight line of the first operating warning value, one is that the curve of the first enterprise's operating value tends downward and intersects the straight line of the first operating warning value, and the other is that the curve of the first enterprise's operating value tends upward and intersects the straight line of the first operating warning value.

[0058] The first enterprise's operating value gradually decreases from a state above the warning line, and eventually falls below or equals the warning line. This situation usually indicates that the enterprise's operating conditions are deteriorating and there may be potential risks. A red abnormal mark is generated at the intersection to remind managers to pay attention. The first enterprise's operating value gradually rises from a state below the warning line and eventually exceeds the warning line. This situation usually indicates that the enterprise's operating conditions have improved and the risk has decreased. A green recovery mark can be generated at the intersection, indicating that the operating conditions have returned to normal.

[0059] In a possible implementation, Figure 1As shown, the first early warning module is used to compare the first enterprise operating value with the first operating warning value. If the first enterprise operating value is less than or equal to the first operating warning value, the abnormal mark is generated and includes: a response module, the response module is used to respond to the user's instruction to click the abnormal mark. A decomposition module, the decomposition module is used to decompose the first enterprise operating value into multiple individual operating indicators. A second analysis module, the second analysis module is used to analyze whether the multiple individual operating indicators meet the corresponding preset operating conditions. A second early warning module, the second early warning module is used to display the individual operating indicators that do not meet the preset operating conditions as abnormal status.

[0060] In this embodiment, when the manager clicks on the abnormal mark in the figure, the response module receives the user's click instruction and triggers the subsequent processing flow, decomposing the first enterprise operation value into multiple individual operation indicators, such as sales revenue, cost structure (material cost, wage cost, energy consumption cost, etc.), inventory level, production efficiency, etc., setting corresponding preset operation conditions for each individual operation indicator, which can be defined based on historical data, industry standards or management goals, and analyzing each individual operation indicator to determine whether it meets the preset operation conditions. For example, whether the sales revenue reaches the expected growth rate, whether the cost control is within a reasonable range, etc. For individual operation indicators that do not meet the preset operation conditions, they are marked as abnormal and highlighted in a specific color (such as red) on the interface.

[0061] Considering that the manager has discovered that the specific indicator is abnormal through the above operations, but is unclear about which department or person is responsible for the relevant indicator, it is impossible to locate the source of the problem and clarify the responsibility, so as to make decisions and implement improvement measures more quickly. In a possible implementation method, after a single operating indicator is displayed as abnormal, the following is also included:

[0062] The response module is also used to respond to a user clicking on an instruction displayed as a single operating indicator in an abnormal state, and display the name of the department or the list of relevant persons in charge related to the single operating indicator in an abnormal state.

[0063] In this embodiment, when the manager clicks on a single operating indicator that is displayed as abnormal, the response module receives the user's click instruction again, further triggers a more detailed display process, and displays the department name or the list of relevant persons in charge related to the single operating indicator in abnormal state. For example:

[0064] Department names: Sales Department, Production Department, Finance Department, etc.

[0065] Relevant person in charge: List the name and contact information of the specific person responsible for the indicator to facilitate direct communication and problem solving by managers.

[0066] In summary, the purpose of the present invention is to provide a comprehensive, intuitive and efficient enterprise operation abnormality monitoring system, so that the enterprise management can quickly discover the root cause of the erosion of enterprise profits through waveform breaks, abnormal color warnings, etc.

[0067] For example: the system displays the first operating warning value generated by the historical enterprise operating comprehensive data as a horizontal straight line, while the first enterprise operating value is displayed as a fluctuating curve over time. This waveform comparison method allows management to see at a glance the operating performance of the enterprise in different cycles. When the curve of the first enterprise operating value crosses the straight line of the first operating warning value or is lower than the warning line, the system will generate a red abnormal mark at the intersection. This not only intuitively shows the changes in the company's operating conditions, but also immediately reminds management to pay attention to potential risks. When the manager clicks on a single operating indicator that is displayed as an abnormal state, the system will further display the department name or the list of relevant persons in charge related to the single operating indicator in the abnormal state. For example, list the names of departments such as the sales department, production department, and finance department, as well as the names and contact information of their specific responsible persons, so that managers can communicate directly and solve problems.

[0068] Considering that some enterprises have made profits, while some enterprises are still in a loss-making state, different situations should be considered when generating the first business alert value of an enterprise. In a possible implementation, the historical enterprise business comprehensive data includes historical enterprise business profit rate data, and the business comprehensive data within the current preset period includes the enterprise business profit rate within the preset period;

[0069] If the enterprise is in a profitable state, the first analysis module is used to analyze the historical enterprise operation comprehensive data to generate the first enterprise operation warning value including the following contents:

[0070] The first analysis unit is used to analyze the historical enterprise operating profit rate data. If the historical enterprise operating profit rate data is greater than a preset first threshold value, a marginal profit warning value is generated; the first early warning module is used to compare the first enterprise operating value with the first operating warning value. If the first enterprise operating value is less than or equal to the first operating warning value, an abnormal mark is generated, including: a first comparison unit, the first comparison unit is used to compare the enterprise operating profit rate within a preset period with the marginal profit warning value; a first early warning unit, if the enterprise operating profit rate within the preset period is less than or equal to the marginal profit warning value, the first early warning unit is used to generate a first abnormal mark.

[0071] For reference only, the first threshold is used to distinguish between the profitable status and the non-profit (or loss-making) status of an enterprise. The first threshold can refer to the average profit margin level of the same industry.

[0072] For reference, profit margin can be divided into multiple types such as gross profit, operating profit and net profit. Each profit margin reflects different business conditions of the enterprise, so special attention should be paid to the distinction when setting the first threshold. For example, the historical business operating profit margin data refers to gross profit. According to the characteristics of different industries, a gross profit threshold that does not make a loss should be set. For example: the manufacturing industry may be set at 20%-30%. The retail industry may be set at 5%-15%. Technical service companies may be set at 40%-60%. Based on the above industry benchmarks and combined with the specific circumstances of the enterprise, a reasonable gross profit threshold should be set.

[0073] For another example, for net profit margin, the first threshold can be zero as the benchmark: if the historical enterprise operating profit margin data refers to net profit, the first threshold should be set to 0, because net profit below zero means that the enterprise is in a loss-making state. Fine-tuning space: Considering the influence of factors such as tax policies and one-time expenses, a small negative range can be appropriately set as the warning range (such as -2% to 0%) to avoid frequent false alarms.

[0074] After confirming that the enterprise is profitable, a marginal profit warning value can be generated based on the historical lowest profit margin plus a certain buffer (such as 5%) to ensure that the marginal profit warning value can accurately reflect the enterprise's risk tolerance and is not too harsh to affect normal operations.

[0075] At the end of each preset period, the enterprise's operating profit margin for the current period is compared with the marginal profit warning value. If the enterprise's operating profit margin within the preset period is less than or equal to the marginal profit warning value, it is considered that there is a potential risk and further processing is triggered. Once it is found that the enterprise's operating profit margin within the preset period is lower than or equal to the marginal profit warning value, the first abnormal mark is immediately generated and highlighted on the interface.

[0076] If the enterprise is in a loss-making state, the first analysis module is used to analyze the historical enterprise operation comprehensive data to generate the first enterprise operation warning value, including the following contents: a second analysis unit, the second analysis unit is used to analyze the historical enterprise operation profit margin data, if the historical enterprise operation profit margin data is less than or equal to the preset first threshold value, then generate the enterprise life warning value; the first early warning module is used to compare the first enterprise operation value with the first operation warning value, if the first enterprise operation value is less than or equal to the first operation warning value, then generate an abnormal mark, including: a second comparison unit, the second comparison unit is used to compare the enterprise operation profit margin within a preset period with the enterprise life warning value; a second early warning unit, if the enterprise operation profit margin within the preset period is less than or equal to the enterprise life warning value, the second early warning unit is used to generate a second abnormal mark.

[0077] Among them, the determination method of the loss and profit of the enterprise has been described in the above implementation plan, and will not be repeated here. The enterprise life warning value refers to the minimum profit margin level at which the enterprise can still maintain operation under extremely unfavorable circumstances. It is a quantitative representation of the survival bottom line of a loss-making enterprise. For example, a manufacturing enterprise is in a loss-making state, and the historical enterprise operating profit margin data is negative. Through analysis, it is determined that the lowest net profit margin in the history of the enterprise is -8%, so the enterprise life warning value can be set to -8%. When the system detects that the enterprise's operating profit margin in the current cycle drops to -8%, a second abnormal mark is immediately generated.

[0078] In a possible implementation, the first early warning unit is used to generate the first abnormal mark or the second early warning unit is used to generate the second abnormal mark, and includes: a response module, the response module is also used to respond to the user's instruction to click the first abnormal mark or the instruction to click the second abnormal mark; a decomposition module, the decomposition module is also used to decompose the enterprise's operating profit rate within the preset period into a plurality of individual operating indicators within the preset period; wherein the plurality of individual operating indicators within the preset period include the wage proportion, material proportion, inventory proportion, collection rate, operating expense rate, financial expense proportion and energy consumption proportion within the preset period; a second analysis module, the second analysis module is also used to analyze whether the plurality of individual operating indicators meet the corresponding preset operating conditions; a second early warning module, the second early warning module is also used to display the individual operating indicators that do not meet the preset operating conditions as abnormal states. The response processing flow in this implementation has been described in the above implementation, and will not be repeated here.

[0079] It should be noted that the reason for decomposing the enterprise's operating profit margin into individual operating indicators such as wage ratio, material ratio, inventory ratio, collection rate, operating expense ratio, financial expense ratio and energy consumption ratio is that these indicators represent the main cost and expense components that affect the profitability of the enterprise. One possible decomposition process is that the decomposition module needs to obtain necessary data from the data analysis module, including but not limited to: Revenue data: such as sales revenue, other business revenue, etc. Cost data: including direct material cost, direct labor cost, manufacturing cost, etc. Expense data: such as sales expenses, administrative expenses, financial expenses, etc. Inventory data: beginning inventory, ending inventory, and period in and out inventory records. Wage data: total employee salary and its distribution. Energy consumption data: total energy consumption and specific usage of each type of energy. Accounts receivable and collection data: used to calculate the collection rate.

[0080] Based on the above data, the decomposition module calculates: Wage ratio = total wage expenditure / sales revenue. Material ratio = direct material cost / sales cost. Inventory ratio = ending inventory / average daily sales or ending inventory / annual sales. Collection rate = actual accounts receivable collected / accounts receivable balance (or credit sales revenue). Operating expense rate = (sales expenses + administrative expenses) / sales revenue. Financial expense ratio = financial expenses / sales revenue. Energy consumption ratio = energy consumption cost / total cost.

[0081] In a possible implementation, after a single operating indicator is displayed as an abnormal state, it also includes: the response module is also used to respond to the user clicking the instruction of the single operating indicator displayed as an abnormal state, and display the department name or the list of relevant persons in charge related to the single operating indicator in the abnormal state. The response processing flow in this implementation has been described in the above implementation and will not be repeated here.

[0082] In summary, in this embodiment, the system can acquire and analyze the comprehensive operating data of the enterprise within the current preset period in real time, provide instant feedback, and help the enterprise adjust its strategy and solve problems in time. Through the first early warning module, the system can automatically compare the first enterprise operating value with the first operating warning value. When the operating conditions deteriorate or improve, a red abnormal mark and a green recovery mark are generated respectively to remind managers to pay attention and take corresponding measures. For enterprises in a profitable state and a loss-making state, the system sets a marginal profit warning value and an enterprise life warning value respectively to ensure that the warning standard can reflect the actual operating conditions of the enterprise and is not too harsh to affect normal operations. Not only is the warning issued at the overall level, but also goes deep into individual operating indicators, such as sales revenue, cost structure, inventory levels, etc., to help managers more accurately locate the source of the problem and clarify the responsibility.

[0083] Taking into account that different single operating indicators have different abnormal situations, in a possible implementation, the second analysis module is also used to analyze whether multiple single operating indicators meet the corresponding preset operating conditions, including the following contents: the second analysis module includes a third analysis unit; the third analysis unit is used to analyze each historical single operating indicator and set the threshold conditions of each single operating indicator within a preset period; the third analysis unit is also used to analyze whether each single operating indicator meets the corresponding preset threshold conditions; the second early warning module is also used to display the single operating indicator that does not meet the preset operating conditions as an abnormal state, including: the second early warning module is used to display the single operating indicator that does not meet the preset threshold conditions as an abnormal state. The response module is also used to respond to the user clicking the instruction to display the single operating indicator in abnormal state, and display the department name or the list of relevant persons in charge related to the single operating indicator in abnormal state.

[0084] For reference, multiple individual operating indicators include the wage ratio, material ratio, inventory ratio, collection rate, operating expense ratio, financial expense ratio and energy consumption ratio within the preset period. Some individual operating indicators are abnormal when they exceed the threshold, and some individual operating indicators are abnormal when they are lower than the threshold. For example, the abnormal condition for the wage ratio is higher than the threshold. If the wage expenditure accounts for too high a proportion of revenue, it may mean that the company's human cost control is poor or production efficiency is low. The abnormal condition for the collection rate is lower than the threshold. A low collection rate means that the collection of accounts receivable is slow, which may indicate customer credit problems or inefficient collection processes. If the company's target collection rate is 95%, but the actual rate is only 85%, this will be considered abnormal and measures must be taken to speed up collection.

[0085] Taking into account that a single threshold indicator cannot reflect the abnormal change trend of a single operating indicator, in a further embodiment, the second analysis module is also used to analyze whether multiple single operating indicators meet the corresponding preset operating conditions; including the following contents: the second analysis module also includes a fourth analysis unit and a calculation unit; when multiple single operating indicators meet the corresponding preset operating conditions; the fourth analysis unit is used to analyze each historical single operating indicator, select the maximum value of each historical single operating indicator corresponding to the multiple historical single operating indicators within the historical period as the expected value, and use each single operating indicator within the preset period as the benchmark value; the calculation unit is used to calculate the difference between the benchmark value of each single operating indicator and the expected value of each historical single operating indicator according to a preset time interval, and obtain the performance difference value data set of each single operating indicator; the fourth analysis unit is used to analyze the change trend of the performance difference value of each single operating indicator based on the performance difference value data set of each single operating indicator; the second early warning module is also used to display the single operating indicator that does not meet the preset operating conditions as an abnormal state, including: the second early warning module is also used to mark the single operating indicator whose change trend does not match the preset change trend as an abnormal state. The response module is also used to respond to a user clicking on an instruction displayed as a single operating indicator in an abnormal state, and display the name of the department or the list of relevant persons in charge related to the single operating indicator in an abnormal state.

[0086] For reference, assume that the highest historical collection rate of a certain enterprise is 90% as the expected value. Next, let's look at two consecutive time periods: First time period: The collection rate is 80%. Performance difference value = 80%-90% = -10% Second time period: Scenario A: The collection rate is 85%. Performance difference value = 85%-90% = -5% Trend of change: From -10% to -5%, it indicates an improvement trend, which is in line with the preset upward trend, so it is not marked as an abnormal state. Scenario B: The collection rate is 70%. Performance difference value = 70%-90% = -20%, Trend of change: From -10% to -20%, it indicates a deterioration trend, which does not meet the preset upward trend, and should be marked as an abnormal state.

[0087] In this embodiment, the indicators that meet the corresponding preset operating conditions are further analyzed through the change trend of the performance difference value, which can not only capture static abnormal situations, but also discover dynamic risk signals. This forward-looking warning helps the management to take measures in advance.

[0088] The above-mentioned embodiments only express the specific implementation of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention.

Claims

1. A system for monitoring abnormal business operations of an enterprise, characterized in that: include: A data acquisition module, which is used to acquire the financial statements of the enterprise within the historical preset period and the comprehensive operating data of the enterprise within the current preset period; wherein the financial statements include the balance sheet and the income statement; A data analysis module, the data analysis module is used to analyze the financial statements to obtain historical enterprise operation comprehensive data; A first analysis module, the first analysis module is used to analyze the historical enterprise operation comprehensive data to generate the enterprise first operation warning value, and the data analysis module is also used to analyze the operation comprehensive data within the current preset period to generate the first enterprise operation value; The first early warning module is used to compare the first enterprise operating value with the first operating warning value, and generate an abnormal mark if the first enterprise operating value is less than or equal to the first operating warning value.

2. The enterprise operation abnormality monitoring system according to claim 1 is characterized in that: The first early warning module is used to compare the first enterprise operating value with the first operating warning value. If the first enterprise operating value is less than or equal to the first operating warning value, generating an abnormal mark includes: A response module, the response module is used to respond to the user's instruction to click the abnormal mark; A decomposition module, the decomposition module is used to decompose the first enterprise operation value into multiple individual operation indicators; A second analysis module, the second analysis module is used to analyze whether the plurality of single operating indicators meet corresponding preset operating conditions; The second early warning module is used to display a single operating indicator that does not meet the preset operating conditions as an abnormal state.

3. The enterprise operation abnormality monitoring system according to claim 1 is characterized in that: The historical enterprise operation comprehensive data includes historical enterprise operation profit rate data, and the operation comprehensive data within the current preset period includes the enterprise operation profit rate within the preset period; The first analysis module is used to analyze the historical enterprise operation comprehensive data to generate the first enterprise operation warning value, which includes the following contents: A first analysis unit, the first analysis unit is used to analyze the historical enterprise operating profit rate data, and if the historical enterprise operating profit rate data is greater than a preset first threshold, generate a marginal profit warning value; The first early warning module is used to compare the first enterprise operating value with the first operating warning value, and if the first enterprise operating value is less than or equal to the first operating warning value, generating an abnormal mark includes: the first early warning module includes: A first comparison unit, the first comparison unit is used to compare the enterprise operating profit rate within a preset period with the marginal profit warning value; The first early warning unit is used to generate a first abnormal mark if the business profit margin of the enterprise within a preset period is less than or equal to the marginal profit warning value.

4. The enterprise operation abnormality monitoring system according to claim 3 is characterized in that: Said The first analysis module is used to analyze the historical enterprise operation comprehensive data to generate the first enterprise operation warning value including the following contents: The first analysis module also includes: A second analysis unit, the second analysis unit is used to analyze the historical enterprise operating profit rate data, and if the historical enterprise operating profit rate data is less than or equal to a preset first threshold, generate an enterprise life warning value; The first early warning module is used to compare the first enterprise operating value with the first operating warning value, and if the first enterprise operating value is less than or equal to the first operating warning value, generating an abnormal mark includes: the first early warning module includes: A second comparison unit, the second comparison unit is used to compare the enterprise's operating profit rate within a preset period with the enterprise's life warning value; The second early warning unit is used to generate a second abnormal mark if the business profit margin of the enterprise within a preset period is less than or equal to the enterprise life warning value.

5. The enterprise operation abnormality monitoring system according to claim 4 is characterized in that: The first early warning unit is used to generate a first abnormal mark or the second early warning unit is used to generate a second abnormal mark, comprising: A response module, the response module is further used to respond to the user's instruction to click the first abnormal mark or the second abnormal mark; A decomposition module, the decomposition module is further used to decompose the enterprise operating profit rate within the preset period into a plurality of individual operating indicators within the preset period; wherein the plurality of individual operating indicators within the preset period include a wage ratio, a material ratio, an inventory ratio, a payment collection rate, an operating expense ratio, a financial expense ratio, and an energy consumption ratio within the preset period; A second analysis module, the second analysis module is further used to analyze whether the plurality of single operating indicators meet corresponding preset operating conditions; The second early warning module is further used to display a single operating indicator that does not meet the preset operating conditions as an abnormal state.

6. The enterprise operation abnormality monitoring system according to claim 5 is characterized in that: The second analysis module is also used to analyze whether the plurality of said single operating indicators meet the corresponding preset operating conditions, including the following contents: the second analysis module includes a third analysis unit; The third analysis unit is used to analyze each historical single operating indicator and set the threshold conditions of each single operating indicator within a preset period; The third analysis unit is also used to analyze whether each of the single operating indicators meets the corresponding preset threshold conditions; The second early warning module is also used to display a single operating indicator that does not meet the preset operating conditions as an abnormal state, including: The second early warning module is used to display a single operating indicator that does not meet a preset threshold condition as an abnormal state.

7. The enterprise operation abnormality monitoring system according to claim 6 is characterized in that: The second analysis module is also used to analyze whether the plurality of said single operating indicators meet the corresponding preset operating conditions; and includes the following contents: the second analysis module also includes a fourth analysis unit and a calculation unit; When multiple single operating indicators meet the corresponding preset operating conditions; the fourth analysis unit is used to analyze each historical single operating indicator, select the maximum value of each historical single operating indicator from multiple historical single operating indicators in the historical period as the expected value, and use each single operating indicator in the preset period as the benchmark value; The calculation unit is used to calculate the difference between the benchmark value of each single operating indicator and the expected value of each historical single operating indicator at a preset time interval to obtain a performance difference value data set of each single operating indicator; The fourth analysis unit is used to analyze the change trend of the performance difference value of each single operating indicator based on the performance difference value data set of each single operating indicator; The second early warning module is also used to display a single operating indicator that does not meet the preset operating conditions as an abnormal state, including: The second early warning module is also used to mark a single operating indicator whose change trend does not match the preset change trend as an abnormal state.

8. A system for monitoring abnormal business operations of an enterprise according to claim 2 or claim 6 or claim 7, characterized in that: When a single operating indicator is displayed as abnormal, it also includes: The response module is also used to respond to a user clicking on an instruction displayed as a single operating indicator in an abnormal state, and display the name of the department or the list of relevant persons in charge related to the single operating indicator in an abnormal state.

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