Business process data processing method and system, electronic equipment and storage medium

Abstract

The invention discloses a business process data processing method and system, electronic equipment and a storage medium, the system is a data medium system, and the method comprises the following steps: obtaining current data of each target data source in real time; wherein the target data source at least comprises a plurality of business systems inside an enterprise, a plurality of Internet of Things devices and external cooperative enterprise data; analyzing each key index of the current business process based on the current data; all the key indexes of the current business process are associated with the related data in the data medium table; feeding back all the key indexes of the current business process and related data associated with the key indexes; respectively monitoring whether each key index of the current business process meets a corresponding early warning condition or not; and when it is monitored that any key index of the current business process meets the corresponding early warning condition, performing early warning for the key index meeting the corresponding early warning condition.

Description

Technical Field

[0001] The present application relates to the technical field of business data processing, and in particular to a business process data processing method and system, electronic equipment, and storage medium. Background Art

[0002] Since the current market conditions are changing rapidly, it is crucial to understand the current business process status during current business operations in order to adapt to market changes in a timely manner. Therefore, the efficiency and flexibility of business processes are crucial.

[0003] Currently, business process management primarily involves collecting data from multiple business systems. Staff then analyze the data based on demand. Based on the analysis and market conditions, they determine whether the current business process is aligned with market conditions. If not, adjustments are made to the business process based on the analysis.

[0004] However, the current approach seriously affects the accuracy of process decisions due to data inconsistency, incompleteness, and poor timeliness from different data sources. In addition, this approach is inefficient and only considers business data, making it impossible to make quick adjustments, which means it has poor timeliness. Summary of the Invention

[0005] Based on the above-mentioned deficiencies of the existing technology, the present application provides a business process data processing method and system, electronic equipment, and storage medium to solve the problems of poor timeliness and accuracy of the existing technology.

[0006] In order to achieve the above objectives, this application provides the following technical solutions:

[0007] In a first aspect, the present application provides a business process data processing method, which is applied to a data middle platform system. The business process data processing method includes:

[0008] Acquire current data from each target data source in real time; wherein the target data source includes at least multiple business systems within the enterprise, multiple IoT devices, and data from external partner enterprises;

[0009] Analyze key indicators of current business processes based on the current data;

[0010] Associating the key indicators of the current business process with the relevant data in the data center;

[0011] Feedback on the key indicators of the current business process and their associated data;

[0012] Monitor each key indicator of the current business process to see if it meets its corresponding warning conditions;

[0013] When it is monitored that any key indicator of the current business process meets its corresponding warning condition, a warning is issued for the key indicator that meets its corresponding warning condition.

[0014] Optionally, in the above-mentioned business process data processing method, after obtaining the current data of each target data source in real time, the method further includes:

[0015] At least data cleaning, data conversion and data standardization techniques are used to integrate the current data.

[0016] Optionally, in the above-mentioned business process data processing method, analyzing key indicators of the current business process based on the current data includes:

[0017] Extracting the key indicators of the current business process of the first type from the current data;

[0018] Extracting associated data of the key indicators of the current business processes of the second type and the third type from the current data;

[0019] Based on the extracted associated data of each key indicator belonging to the second type, using the calculation logic corresponding to each key indicator belonging to the second type, calculate each key indicator of the current business process belonging to the second type;

[0020] Based on the extracted associated data and historical data of each key indicator belonging to the third type, and using the calculation logic corresponding to each key indicator belonging to the third type, each key indicator of the current business process belonging to the third type is calculated.

[0021] Optionally, the above-mentioned business process data processing method further includes:

[0022] The current data, the key indicators of the current business process, and the related data associated therewith are stored as business data.

[0023] Optionally, the above-mentioned business process data processing method further includes:

[0024] Receive current business indicator analysis requests;

[0025] Querying data related to the current business indicator from the business data;

[0026] Calculate the current business indicator by using the data related to the current business indicator found out;

[0027] Adjusting the current business process based on the current business indicators to obtain policy information for a new business process;

[0028] Feedback is provided on the policy information of the new business process.

[0029] A second aspect of the present application provides a business process data processing system, which is a data middle platform system and includes:

[0030] A data acquisition unit, configured to acquire current data from each target data source in real time; wherein the target data source includes at least multiple business systems within the enterprise, multiple IoT devices, and data from external partner enterprises;

[0031] A key indicator analysis unit, configured to analyze key indicators of the current business process based on the current data;

[0032] A data association unit, configured to associate the key indicators of the current business process with the relevant data in the data center;

[0033] A data feedback unit, used to feedback the key indicators of the current business process and their associated relevant data;

[0034] The indicator monitoring unit is used to monitor whether each key indicator of the current business process meets its corresponding warning conditions;

[0035] The early warning unit is used to issue an early warning for the key indicator that meets the corresponding early warning condition when it is monitored that any key indicator of the current business process meets the corresponding early warning condition.

[0036] Optionally, the above-mentioned business process data processing system further includes:

[0037] The data preprocessing unit is used to integrate the current data by at least using data cleaning, data conversion and data standardization technology.

[0038] Optionally, in the above-mentioned business process data processing system, the key indicator analysis unit includes:

[0039] An indicator extraction unit, configured to extract the key indicators of the current business process of the first type from the current data;

[0040] A related data extraction unit, configured to extract related data of each of the key indicators of the current business process of the second type and the third type from the current data;

[0041] a first calculation unit, configured to calculate, based on the extracted associated data of each key indicator of the second type, each key indicator of the current business process of the second type using a calculation logic corresponding to each key indicator of the second type;

[0042] The second calculation unit is used to calculate the key indicators of the current business process belonging to the third type based on the extracted associated data and historical data of the key indicators belonging to the third type and using the calculation logic corresponding to the key indicators belonging to the third type.

[0043] Optionally, the above-mentioned business process data processing system further includes:

[0044] The data storage unit is used to store the current data, the key indicators of the current business process and the related data associated therewith as business data.

[0045] Optionally, the above-mentioned business process data processing system further includes:

[0046] A request receiving unit, configured to receive a current business indicator analysis request;

[0047] A data query unit, configured to query data related to the current business indicator from the business data;

[0048] A business indicator calculation unit, configured to calculate the current business indicator by using the data related to the current business indicator obtained by querying;

[0049] An adjustment unit, configured to adjust the current business process based on the current business indicator to obtain policy information of a new business process;

[0050] The information feedback unit is used to feed back the policy information of the new business process.

[0051] A third aspect of the present application provides an electronic device, including:

[0052] memory and processor;

[0053] Wherein, the memory is used to store programs;

[0054] The processor is used to execute the program, and when the program is executed, it is specifically used to implement the business process data processing method as described in any one of the above.

[0055] In a fourth aspect, the present application provides a computer storage medium for storing a computer program, which, when executed by a processor, is used to implement the business process data processing method as described in any one of the above.

[0056] The present application provides a business process data processing method, which is applied to a data center system. Specifically, when processing business process data, the current data of each target data source is obtained in real time. The target data sources include at least multiple business systems within the enterprise, multiple IoT devices, and data from external partner companies. This method not only obtains data from internal business systems, but also obtains data from other devices and external data, so that the data analysis results are more comprehensive and accurate. Then, based on the current data, the key indicators of the current business process are analyzed to more accurately reflect the current status of the business process through the key indicators. In addition, the key indicators of the current business process are associated with the relevant data in the data center, and the key indicators of the current business process and their associated related data are fed back, so that users can understand not only the key indicators but also the related data, making it easier for users to make quick and accurate adjustments to the business process. In addition, the key indicators of the current business process are monitored to see if they meet their corresponding warning conditions. When any key indicator of the current business process meets its corresponding warning condition, a warning is issued for the key indicator that meets its corresponding warning condition, so that users can obtain abnormal problems in the business process in a timely manner and make timely adjustments. Therefore, a method for timely and accurate analysis and monitoring of business process data has been implemented, which provides effective support for users to quickly and accurately adjust business processes. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without any creative work.

[0058] Figure 1 A flowchart of a business process data processing method provided in an embodiment of the present application;

[0059] Figure 2 A flowchart of a method for analyzing various key indicators provided in an embodiment of the present application;

[0060] Figure 3 A flowchart of a data analysis method provided in an embodiment of the present application;

[0061] Figure 4 A schematic diagram of the architecture of a business process data processing system provided in an embodiment of the present application;

[0062] Figure 5 A schematic diagram of the architecture of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0063] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0064] In this application, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.

[0065] The embodiment of the present application provides a business process data processing method, which is applied to the data middle platform system. Figure 1 As shown, the embodiment of the present application provides a business process data processing method, including the following steps:

[0066] S101. Acquire current data from each target data source in real time.

[0067] The target data source includes at least multiple business systems within the enterprise, multiple IoT devices, and data from external partner companies. That is, in order to accurately analyze the business process, in the embodiment of the present application, not only data from each business system is collected, but also IoT devices related to the business process, such as sensors or data acquisition devices. Moreover, the business process may also involve external partner companies, so data from external partner companies will also be obtained at the same time. Optionally, data can be collected from the interface of the business system provided by the external partner company under the premise of authorization.

[0068] Taking into account the differences in data formats of various data sources, in order to facilitate subsequent unified processing and to ensure data consistency and integrity, etc., optionally, in another embodiment of the present application, after executing step S101 and before executing step S103, the following steps may be further performed:

[0069] At least use data cleaning, data conversion and data standardization techniques to integrate current data.

[0070] Specifically, data cleaning, data conversion, and data standardization technologies are used to integrate and process the current data obtained to determine the consistency and integrity of the data.

[0071] S102. Analyze key indicators of the current business process based on current data.

[0072] It should be noted that since the current data is the data generated in the original business process, it cannot intuitively reflect the status of the business process. Therefore, in order to accurately and intuitively reflect the current business process, in the embodiment of the present application, the current data will be further processed and the key indicators of the current business process will be analyzed based on the current data. Among them, each key indicator can be set according to the specific business process. For example, in the production process, the real-time product quality and product qualification rate can be set.

[0073] Therefore, the key indicators of the current business process analyzed based on the current data can be directly extracted from the current data or obtained by statistical calculation using the current data.

[0074] Optionally, in another embodiment of the present application, a specific implementation of step S102 is as follows: Figure 2 As shown, the following steps are included:

[0075] S201. Extract key indicators of the current business process of the first type from current data.

[0076] It should be noted that the first type of key indicators refers to key indicators that can be directly collected, such as current real-time production, current real-time sales, etc., so the first type of key indicators can be directly extracted from the current data.

[0077] S202: Extract associated data of key indicators of the current business process of the second type and the third type from the current data.

[0078] It should be noted that the second and third types of key indicators require computational analysis to obtain. Therefore, it is necessary to first extract the data required for the computational analysis of the second and third types of key indicators from the current data, that is, the associated data of these key indicators.

[0079] S203 : Based on the extracted associated data of the key indicators of the second type, and using the calculation logic corresponding to the key indicators of the second type, calculate the key indicators of the current business process of the second type.

[0080] It should be noted that the second type of key indicators refers to indicators that require calculation and analysis of multiple currently collected data. For example, the current total product productivity requires statistical calculation using the current product production efficiency of each production line. Therefore, for each second type of key indicator, the key indicators of the current business process of the second type are calculated directly based on the extracted associated data of each second type of key indicator and using the calculation logic corresponding to each second type of key indicator.

[0081] S204 : Based on the extracted associated data and historical data of each key indicator belonging to the third type, and using the calculation logic corresponding to each key indicator belonging to the third type, calculate each key indicator of the current business process belonging to the third type.

[0082] It should be noted that the third type of key indicators need to be statistically calculated together with historical data, that is, indicators of the current business process, such as the total output of products this month, so the current product output needs to be merged with the historical product output to obtain it.

[0083] Of course, the classification into these three types is only one of the optional methods. Other types can also be divided according to needs, and the corresponding key indicators can be analyzed according to the analysis methods of each type.

[0084] S103. Associate the key indicators of the current business process with the relevant data in the data center.

[0085] It should be noted that the key indicators can reflect the situation of the business process. In order to facilitate the understanding of what data affects the key indicators, the key indicators are set to the current values ​​so that the data of the business process can be adjusted accordingly, so that the key indicators meet the expectations. In order to facilitate users to understand other relevant information, in the embodiment of the present application, the key indicators of the current business process will also be associated with the data related to them in the data center. For example, the product qualification rate in the production process is associated with the raw material quality data and equipment operation data.

[0086] S104. Feedback on the key indicators of the current business process and their associated data.

[0087] Specifically, the key indicators of the current business process and their associated data are fed back to the front end so that users can understand the status of the business process in a timely manner and make decisions on adjustments to the business process based on these data.

[0088] S105. Monitor each key indicator of the current business process to see if it meets its corresponding warning conditions.

[0089] Since key indicators reflect the current specific situation of the business process, and in order to remind users in time when there are problems in the business process so that users can adjust the business process in time, the abnormal situation of each key indicator will be monitored in real time to provide early warning to the business department.

[0090] The warning conditions for each key indicator can be set based on the key indicator type. For example, for numerical key indicators, a threshold can be set. When the key indicator exceeds the threshold, the warning condition is met. For status-based key indicators, the warning status can be set. When the key indicator reaches the warning status, the warning condition is met.

[0091] When it is monitored that any key indicator of the current business process meets its corresponding warning condition, step S106 is executed.

[0092] S106. Issue warnings for key indicators that meet their corresponding warning conditions.

[0093] To help users understand which aspect of the business process is causing a problem, it is necessary to issue warnings for key indicators that meet their corresponding warning conditions. Optionally, the key indicators that meet their corresponding warning conditions and their corresponding warning conditions can be displayed, thereby providing information about abnormal key indicators and the extent of the abnormality.

[0094] Optionally, in order to facilitate the subsequent use of data in the business process, another embodiment of the present application may further include:

[0095] The current data, key indicators of the current business process and related data are stored as business data.

[0096] Accordingly, in another embodiment of the present application, in order to cope with the market situation, data analysis can be carried out in a targeted manner, so that based on the analysis results, business process adjustments can be made in a targeted manner to cope with the market situation. Therefore, in another embodiment of the present application, data analysis can be further included. Figure 3 As shown, a data analysis method provided in an embodiment of the present application includes the following steps:

[0097] S301: Receive a current business indicator analysis request.

[0098] Among them, current business indicators are indicators that need to be analyzed currently, such as customer demand trends, competitor dynamics, etc.

[0099] Optionally, the current business indicator analysis request may be automatically triggered when a set condition is met, or may be triggered by a manual operation.

[0100] S302: Query the business data for data related to the current business indicator.

[0101] Specifically, according to the data type required to calculate the current business indicator, data related to the current business indicator is queried from the stored business data.

[0102] S303: Calculate the current business indicator using the data related to the current business indicator.

[0103] Specifically, the calculation logic of each business indicator can be preset, so that the current business indicator can be calculated according to the calculation logic of the current business indicator.

[0104] S304: Adjust the current business process based on the current business indicators to obtain policy information of the new business process.

[0105] S305: Feedback the strategy information of the new business process.

[0106] The embodiment of the present application provides a business process data processing method, which is applied to the data center system. Specifically, when processing business process data, the current data of each target data source is obtained in real time. Among them, the target data source includes at least multiple business systems within the enterprise, multiple Internet of Things devices, and external cooperative enterprise data, so that not only the data of the internal business system is obtained, but also the data of other devices and external data is obtained, so that the results of data analysis are more comprehensive and accurate. Then, based on the current data, the key indicators of the current business process are analyzed to more accurately reflect the current situation of the business process through the key indicators. In addition, the key indicators of the current business process are associated with the relevant data in the data center, and the key indicators of the current business process and their associated related data are fed back, so that users can not only understand the key indicators, but also understand the related data, which makes it easier for users to make quick and accurate adjustments to the business process. In addition, the key indicators of the current business process are monitored to see whether they meet their corresponding warning conditions. When any key indicator of the current business process is monitored to meet its corresponding warning conditions, an early warning is issued for the key indicator that meets its corresponding warning conditions, so that users can obtain abnormal problems in the business process in a timely manner, so that they can make timely adjustments. Therefore, a method for timely and accurate analysis and monitoring of business process data has been implemented, which provides effective support for users to quickly and accurately adjust business processes.

[0107] Another embodiment of the present application provides a business process data processing system, which is specifically a data middle platform system. Figure 4 As shown, an embodiment of the present application provides a business process data processing system, including:

[0108] The data acquisition unit 401 is used to acquire the current data of each target data source in real time.

[0109] The target data sources include at least multiple business systems within the enterprise, multiple IoT devices, and data from external partner companies.

[0110] The key indicator analysis unit 402 is used to analyze various key indicators of the current business process based on current data.

[0111] The data association unit 403 is used to associate the key indicators of the current business process with the relevant data in the data center.

[0112] The data feedback unit 404 is used to feedback various key indicators of the current business process and their associated relevant data.

[0113] The indicator monitoring unit 405 is used to monitor whether each key indicator of the current business process meets its corresponding warning condition.

[0114] The early warning unit 406 is configured to issue an early warning for the key indicator that meets the corresponding early warning condition when it is detected that any key indicator of the current business process meets the corresponding early warning condition.

[0115] Optionally, in another embodiment of the present application, the business process data processing system further includes:

[0116] The data preprocessing unit is used to integrate the current data by at least using data cleaning, data conversion and data standardization technologies.

[0117] Optionally, in a business process data processing system provided in another embodiment of the present application, the key indicator analysis unit includes:

[0118] The indicator extraction unit is used to extract various key indicators of the current business process belonging to the first type from the current data.

[0119] The associated data extraction unit is used to extract associated data of various key indicators of the current business process belonging to the second type and the third type from the current data.

[0120] The first calculation unit is configured to calculate the key indicators of the current business process of the second type based on the extracted associated data of the key indicators of the second type and using the calculation logic corresponding to the key indicators of the second type.

[0121] The second calculation unit is used to calculate the key indicators of the current business process belonging to the third type based on the extracted associated data and historical data of the key indicators belonging to the third type and using the calculation logic corresponding to the key indicators belonging to the third type.

[0122] Optionally, in another embodiment of the present application, the business process data processing system further includes:

[0123] The data storage unit is used to store current data, key indicators of the current business process and related data as business data.

[0124] Optionally, in another embodiment of the present application, the business process data processing system further includes:

[0125] The request receiving unit is used to receive the current business indicator analysis request.

[0126] The data query unit is used to query data related to current business indicators from business data.

[0127] The business indicator calculation unit is used to calculate the current business indicator by querying the data related to the current business indicator.

[0128] The adjustment unit is used to adjust the current business process based on the current business indicators to obtain policy information of the new business process.

[0129] The information feedback unit is used to provide feedback on the strategy information of the new business process.

[0130] It should be noted that the specific working process of each unit provided in the above embodiments of the present application can refer to the implementation process of the corresponding steps in the above method embodiments, and will not be repeated here.

[0131] Another embodiment of the present application provides an electronic device, such as Figure 5 As shown, including:

[0132] Memory 501 and processor 502 .

[0133] The memory 501 is used to store programs.

[0134] The processor 502 is used to execute the program stored in the memory 501. When the program is executed, it is specifically used to implement the business process data processing method provided by any one of the above embodiments.

[0135] Another embodiment of the present application provides a computer storage medium for storing a computer program. When the computer program is executed by a processor, it is used to implement the business process data processing method provided in any of the above embodiments.

[0136] The computer storage medium includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include temporary computer-readable media (transitory media) such as modulated data signals and carrier waves.

[0137] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0138] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A business process data processing method, characterized in that: Applied to the data middle platform system, the business process data processing method includes: Acquire the current data of each target data source in real time; wherein the target data source includes at least multiple business systems within the enterprise, multiple IoT devices, and external cooperative enterprise data; Analyze various key indicators of the current business process based on the current data; Associating the key indicators of the current business process with the relevant data in the data center; Feedback on the key indicators of the current business process and their associated data; Monitor each of the key indicators of the current business process to see if they meet the corresponding warning conditions; When it is monitored that any key indicator of the current business process meets its corresponding warning condition, a warning is issued for the key indicator that meets its corresponding warning condition.

2. The method according to claim 1, characterized in that After the current data of each target data source is obtained in real time, the method further includes: At least data cleaning, data conversion and data standardization techniques are used to integrate the current data.

3. The method according to claim 1, characterized in that: The key indicators of the current business process analyzed based on the current data include: Extracting each of the key indicators of the current business process of the first type from the current data; Extracting associated data of each of the key indicators of the current business process of the second type and the third type from the current data; Based on the extracted associated data of each of the key indicators belonging to the second type, using the calculation logic corresponding to each of the key indicators belonging to the second type, calculate each of the key indicators of the current business process belonging to the second type; Based on the extracted associated data and historical data of each key indicator belonging to the third type, and using the calculation logic corresponding to each key indicator belonging to the third type, each key indicator of the current business process belonging to the third type is calculated.

4. The method according to claim 1, characterized in that Also includes: The current data, the key indicators of the current business process, and the related data associated therewith are stored as business data.

5. The method according to claim 4, characterized in that Also includes: Receive current business indicator analysis requests; Querying data related to the current business indicator from the business data; The current business indicator is calculated by using the data related to the current business indicator that is queried; Adjusting the current business process based on the current business indicator to obtain strategy information of the new business process; The strategy information of the new business process is fed back.

6. A business process data processing system, characterized in that: The business process data processing system is a data middle platform system, and the business process data processing system includes: A data acquisition unit, used to acquire the current data of each target data source in real time; wherein the target data source includes at least a plurality of business systems within the enterprise, a plurality of Internet of Things devices, and data of external cooperative enterprises; A key indicator analysis unit, used to analyze various key indicators of the current business process based on the current data; A data association unit, used to associate each of the key indicators of the current business process with the relevant data in the data center; A data feedback unit, used to feedback the key indicators of the current business process and their associated relevant data; The indicator monitoring unit is used to monitor whether each of the key indicators of the current business process meets its corresponding warning conditions; The early warning unit is used to issue an early warning for the key indicator that meets the corresponding early warning condition when it is monitored that any key indicator of the current business process meets the corresponding early warning condition.

7. The system according to claim 6, characterized in that Also includes: The data preprocessing unit is used to integrate the current data by at least using data cleaning, data conversion and data standardization technology.

8. The system according to claim 6, characterized in that The key indicator analysis unit includes: An indicator extraction unit, configured to extract the key indicators of the current business process of the first type from the current data; A related data extraction unit, used to extract related data of each of the key indicators of the current business process belonging to the second type and the third type from the current data; A first calculation unit is used to calculate the key indicators of the current business process of the second type based on the extracted associated data of the key indicators of the second type and using the calculation logic corresponding to the key indicators of the second type; The second calculation unit is used to calculate the key indicators of the current business process belonging to the third type based on the extracted associated data and historical data of the key indicators belonging to the third type and using the calculation logic corresponding to the key indicators belonging to the third type.

9. An electronic device, characterized in that: include: Memory and processor; Wherein, the memory is used to store programs; The processor is used to execute the program, and when the program is executed, it is specifically used to implement the business process data processing method as described in any one of claims 1 to 5.

10. A computer storage medium, characterized in that: Used to store a computer program, which, when executed by a processor, is used to implement the business process data processing method as described in any one of claims 1 to 5.

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