An intelligent management system for enterprise financial information data

Abstract

The invention discloses an intelligent management system for enterprise financial information data, belonging to the technical field of enterprise financial management; it is used to solve the technical problem that the autonomous multi-dimensional supervision and adaptive management effect of enterprise financial invoicing and reimbursement in the existing scheme is not good; various monitoring data of different invoice reimbursement processing are digitized and calculated to obtain the corresponding individual processing validity, the individual processing validity corresponding to all invoice reimbursement processing is sorted and combined to obtain an individual invoice type supervision processing sequence, and further the individual processing states corresponding to different elements in the individual invoice type supervision processing sequence are digitized and calculated and the data is updated to obtain the invoice type processing sequence; by firstly processing the data from the local type processing influence corresponding to different invoice types, and then processing and analyzing the overall type processing influence corresponding to all invoice types, and adaptively performing corresponding optimization management on the financial invoice reimbursement according to the analysis results.

Description

Technical Field

[0001] The present invention relates to the technical field of enterprise financial management, and in particular to an intelligent management system for enterprise financial information data. Background Art

[0002] Corporate financial information refers to information related to the movement of corporate funds, reflecting the company's financial status, performance and future financial forecasts during its operations and development.

[0003] Invoice reimbursement is an important part of corporate financial information management, which involves understanding the company's expenditure, ensuring that the expenditure is reasonable and legal, and being able to provide the company with accurate financial records. The existing invoice reimbursement implementation plan still remains in a single-dimensional preliminary training when it is implemented. However, employees with different experiences have different mastery and proficiency, which often leads to many problems, thus affecting the overall efficiency and time of financial processing. It is impossible to supervise and analyze the processing of invoice reimbursement in different dimensions, and implement targeted optimization management for different issues of invoice reimbursement based on the analysis results of different dimensions, resulting in poor autonomous multi-dimensional supervision and adaptive management of corporate financial invoice reimbursement. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent management system for enterprise financial information data, which is used to solve the technical problems of poor autonomous multi-dimensional supervision and adaptive management of enterprise financial invoicing and reimbursement in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An intelligent management system for enterprise financial information data, comprising:

[0007] The financial information processing supervision and analysis module is used to monitor and count the entire process of invoice reimbursement processing by financial personnel, and to digitize and analyze the processing of each reimbursement invoice to obtain the invoice reimbursement supervision processing sequence, and to perform data expansion processing on the invoice reimbursement supervision processing sequence to obtain the invoice type processing sequence;

[0008] The financial information processing and evaluation management module is used to implement multi-dimensional processing and impact analysis on the invoice type processing sequence obtained, and adaptively optimize the financial invoice reimbursement accordingly based on the analysis results;

[0009] Among them, the local type processing impact state of the invoice type is digitally processed and calculated according to the invoice type processing sequence to obtain the corresponding local type processing impact degree; the local type processing impact degree is used to digitally represent the processing impact of all abnormal invoice reimbursements of the invoice type;

[0010] Data analysis is performed on the local processing impacts of different invoice types and extended calculations are performed to obtain the corresponding overall processing impacts; the overall processing impacts are used to digitally represent the processing impacts of all abnormal invoice reimbursements of all invoice types;

[0011] Conduct data analysis on the overall processing impact and dynamically and adaptively implement targeted exception management plans; targeted exception management plans include local exception management plans or overall exception management plans.

[0012] Preferably, the behavior of the financial personnel in processing the reimbursement of different types of invoices is monitored and counted, and the start processing timestamp and the end processing timestamp corresponding to the financial personnel processing the reimbursement invoices, as well as the processing status corresponding to the reimbursement invoices, are obtained;

[0013] Calculate the processing duration of the corresponding reimbursement invoice based on the end processing timestamp and the start processing timestamp;

[0014] Digitally process the processing status corresponding to the reimbursement invoice to obtain the corresponding processing status identifier;

[0015] The invoice type, start processing timestamp, end processing timestamp, processing duration and processing status identifier corresponding to the processed reimbursement invoice are sorted and combined to obtain the invoice reimbursement processing monitoring sequence.

[0016] Preferably, when the processing status corresponding to the reimbursement invoice is digitally processed, if the processing status is normal, the processing status flag corresponding to the processing status is set to 0;

[0017] If the processing status is abnormal, the abnormal cause is input into the abnormal database for traversal retrieval to obtain the corresponding abnormal cause weight, and the value of the abnormal cause weight is extracted and set as the processing status identifier CB.

[0018] Preferably, when the processing of the reimbursement invoice is digitally processed, each data in the invoice reimbursement processing monitoring sequence is calculated through the processing state identification piecewise function to obtain the individual processing validity GC corresponding to the corresponding reimbursement invoice;

[0019] Among them, the expression of the processing state identification piecewise function is ; In the formula, e is a natural constant; Tc is the processing duration of the reimbursement invoice; Tc´ is the standard processing duration of the reimbursement invoice of the same invoice type;

[0020] The individual processing validity corresponding to different processing reimbursement invoices is arranged and combined in the order of processing time to obtain the invoice reimbursement supervision processing sequence.

[0021] Preferably, when performing data processing analysis on the dimension of abnormal impact of invoice type on the invoice reimbursement supervision processing sequence, all invoice types for which the financial personnel implement invoice reimbursement processing are counted, and the individual processing validity corresponding to different invoice types is counted and ranked and combined to obtain the individual invoice type supervision processing sequence;

[0022] The individual invoice type supervision processing sequences corresponding to different invoice types are processed in turn, the individual invoice type supervision processing sequences are traversed and the total number N of elements with non-zero values ​​is counted, and the values ​​of all elements with non-zero values ​​are calculated to obtain the type processing heterogeneity of the corresponding invoice type;

[0023] All individual processing validity corresponding to all invoice types are sorted and combined to obtain the invoice type processing sequence.

[0024] Preferably, the calculation formula for type processing heterogeneity is: ; In the formula, LC is the type processing heterogeneity; GCj is the individual processing validity of reimbursement invoices with different non-zero values; j=1, 2, 3, ..., N; N is a positive integer; j is a reimbursement invoice with different non-zero values; N´ is the total number of reimbursement invoices processed for the corresponding invoice type.

[0025] Preferably, when processing the impact status of the local types corresponding to different invoice types, the individual processing validity corresponding to the different invoice types is calculated by the formula JC=LC / A to obtain the corresponding local type processing impact JC; wherein A is the standard value of the invoice type processing impact;

[0026] The data of local type processing influence is analyzed and combined to obtain the invoice type processing influence sequence.

[0027] Preferably, if the local type processing impact is not greater than 1, a processing impact normal instruction is generated and the corresponding invoice type is marked as the first invoice type;

[0028] If the local type processing impact is greater than 1, a processing impact exception instruction is generated and the corresponding invoice type is marked as the second invoice type;

[0029] The calculated local type processing influence is used to fill and update the data at the corresponding position of the invoice type processing sequence to obtain the invoice type processing influence sequence.

[0030] Preferably, the invoice type processing affects the sequence by the formula Calculate and obtain the overall processing impact ZC corresponding to the second invoice type; where exp() is an exponential function with the natural constant e as the base; Ny is the total number of the second invoice type; N´´ is the total number of all invoice types; and B is the overall processing impact standard value.

[0031] Preferably, if the overall processing impact is not greater than 1, an overall processing slight impact instruction is generated and a local exception management solution is implemented;

[0032] If the overall processing impact is greater than 1, an overall processing severe impact instruction is generated and an overall exception management plan is implemented.

[0033] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0034] The present invention digitally processes and calculates the corresponding individual processing validity of various monitoring data of different invoice reimbursement processing, sorts and combines the individual processing validity corresponding to all invoice reimbursement processing, obtains an individual invoice type supervision processing sequence, and further digitally processes and calculates and updates the data of individual processing states corresponding to different elements in the individual invoice type supervision processing sequence to obtain an invoice type processing sequence. This can provide reliable individual processing data support for subsequent processing impact status analysis of different dimensions of invoice reimbursement, thereby improving the diversity of different invoice reimbursement processing monitoring data processing and subsequent expansion and utilization.

[0035] The present invention first processes data based on the local type processing impacts corresponding to different invoice types, then processes and analyzes the overall type processing impacts corresponding to all invoice types, and adaptively optimizes the financial invoice reimbursement accordingly based on the analysis results. This achieves regulatory analysis of existing financial invoice reimbursements in different dimensions, while also enabling targeted optimization management of subsequent financial invoice reimbursements, thereby improving the autonomous multi-dimensional regulatory effect and adaptive management effect of corporate financial invoice reimbursement. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] Figure 1 This is a module block diagram of an intelligent management system for enterprise financial information data according to the present invention.

[0038] Figure 2 The present invention is a flowchart of the operation of an intelligent management system for enterprise financial information data.

[0039] Figure 3 A flowchart of the invoice type processing affecting sequence acquisition in the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] like Figure 1 to Figure 2 As shown, the present invention is an intelligent management system for enterprise financial information data, including a financial information processing supervision and analysis module and a financial information processing evaluation management module;

[0042] The financial information processing supervision and analysis module is used to monitor and count the entire process of invoice reimbursement processing by financial personnel, and to digitize and analyze the processing of each reimbursement invoice to obtain the invoice reimbursement supervision processing sequence, and to perform data expansion processing on the invoice reimbursement supervision processing sequence to obtain the invoice type processing sequence; including:

[0043] Monitor and count the financial staff's behavior in processing different types of invoice reimbursements, obtain the start and end processing timestamps corresponding to the financial staff's processing of the reimbursement invoices, and the processing status of the reimbursement invoices;

[0044] Among them, the behavior monitoring of financial personnel in processing different types of invoice reimbursements is based on monitoring the financial personnel's start processing, end processing and marking of different types of reimbursement invoice images through computers. The end processing can be determined by the start processing of the next reimbursement invoice; different types of reimbursement invoice images are provided by the applicant;

[0045] The processing status includes normal or abnormal. The abnormality is associated with specific abnormal reasons, which are manually marked and processed by financial personnel. The abnormal reasons include but are not limited to problems with the invoice header, invoice content, invoice issuance time, incomplete or non-standard invoice elements, etc.

[0046] Calculate the processing duration of the corresponding reimbursement invoice based on the end processing timestamp and the start processing timestamp; the units of different processing timestamps and processing durations are all seconds;

[0047] When the processing status corresponding to the reimbursement invoice is digitally processed, if the processing status is normal, the processing status indicator corresponding to the processing status is set to 0;

[0048] If the processing status is abnormal, the abnormal cause is input into the abnormal database for traversal retrieval to obtain the corresponding abnormal cause weight, and the value of the abnormal cause weight is extracted and set as the processing status identifier CB;

[0049] Among them, the abnormality database pre-stores a number of different sample abnormality reasons and their corresponding abnormality reason weights, and the abnormality reason weights are used to digitize and differentiate the abnormal impacts of different abnormal reasons; the specific values ​​of the abnormality reason weights corresponding to different sample abnormality reasons can be customized by financial personnel based on work experience, or can be determined based on the total number of historical occurrences of the corresponding sample abnormality reasons;

[0050] The invoice type, the start processing timestamp, the end processing timestamp, the processing duration and the processing status identifier corresponding to the invoice to be processed for reimbursement are sorted and combined to obtain an invoice reimbursement processing monitoring sequence;

[0051] In the embodiment of the present invention, by monitoring, counting and processing data of different dimensions for different invoice reimbursement processes implemented by financial personnel, reliable local monitoring data support can be provided for subsequent data processing and analysis of different dimensions of invoice reimbursement;

[0052] When the processing of reimbursement invoices is digitally processed, each data in the invoice reimbursement processing monitoring sequence is calculated through the processing state identification piecewise function to obtain the individual processing validity GC corresponding to the reimbursement invoice;

[0053] Among them, the expression of the processing state identification piecewise function is ; In the formula, e is a natural constant; Tc is the processing duration of the reimbursement invoice; Tc´ is the standard processing duration of the reimbursement invoice of the same invoice type, which can be determined based on the median of all the processing durations of the same invoice type handled by the financial staff in the past;

[0054] It should be noted that individual processing validity is used to integrate and calculate the different dimensional data of processing reimbursement invoices to digitally represent the invoice reimbursement processing status; when the individual processing validity is not 0, it means that the processing status of the corresponding reimbursement invoice is abnormal;

[0055] Arrange and combine the individual processing validity corresponding to different processing reimbursement invoices in the order of processing time to obtain the invoice reimbursement supervision processing sequence;

[0056] When performing data processing and analysis on the invoice type abnormal impact dimension of the invoice reimbursement supervision processing sequence, all invoice types for which the financial staff implements invoice reimbursement processing are counted, and the individual processing validity corresponding to different invoice types is counted and ranked and combined to obtain the individual invoice type supervision processing sequence;

[0057] Among them, invoice types include but are not limited to entertainment expense reimbursement invoice types, vehicle expense invoice types: office expense invoice types, travel expense reimbursement invoice types;

[0058] The individual invoice type supervision processing sequences corresponding to different invoice types are processed in turn, the individual invoice type supervision processing sequences are traversed and the total number of elements N with non-zero values ​​is counted, and the values ​​of all non-zero elements are calculated by the formula Calculate and obtain the type processing heterogeneity LC of the corresponding invoice type; where GCj is the individual processing validity of reimbursement invoices with different non-zero values; j=1, 2, 3, ..., N; N is a positive integer; j is a reimbursement invoice with different non-zero values; N´ is the total number of reimbursement invoices processed for the corresponding invoice type;

[0059] All individual processing validity corresponding to all invoice types are sorted and combined to obtain the invoice type processing sequence;

[0060] In an embodiment of the present invention, by digitally processing and calculating the corresponding individual processing validity of various monitoring data of different invoice reimbursement processes, the individual processing validity corresponding to all invoice reimbursement processes are sorted and combined to obtain an individual invoice type supervision processing sequence, and further digitally processing and calculating and updating the individual processing states corresponding to different elements in the individual invoice type supervision processing sequence to obtain the invoice type processing sequence, reliable individual processing data support can be provided for subsequent processing impact status analysis of different dimensions of invoice reimbursement, thereby improving the diversity of different invoice reimbursement processing monitoring data and subsequent expansion utilization.

[0061] The financial information processing and evaluation management module is used to implement multi-dimensional processing and impact analysis on the invoice type processing sequence obtained, and adaptively optimize the financial invoice reimbursement accordingly based on the analysis results; including:

[0062] like Figure 3 As shown, when the local type processing influence status corresponding to different invoice types is calculated, the individual processing validity corresponding to different invoice types is calculated by the formula JC=LC / A to obtain the corresponding local type processing influence JC; where A is the standard value of the invoice type processing influence, which can be determined based on the existing invoice reimbursement requirement data;

[0063] It should be noted that the local type processing impact is used to digitally represent the processing impact of all abnormal invoice reimbursements of the invoice type; the larger the local type processing impact, the more abnormal the processing impact of the corresponding invoice type;

[0064] If the processing impact of the local type is not greater than 1, a processing impact normal instruction is generated and the corresponding invoice type is marked as the first invoice type, that is, the processing impact normal invoice type;

[0065] If the local type processing impact is greater than 1, a processing impact exception instruction is generated and the corresponding invoice type is marked as the second invoice type, i.e., the processing impact exception invoice type;

[0066] The calculated local type processing influence is used to fill and update the data at the corresponding position of the invoice type processing sequence to obtain the invoice type processing influence sequence;

[0067] Processing affects the sequence by formula according to the invoice type Calculate and obtain the overall processing impact ZC corresponding to the second invoice type; where exp() is an exponential function with the natural constant e as the base; Ny is the total number of the second invoice type; N´´ is the total number of all invoice types; B is the overall processing impact standard value, which can be determined based on the existing invoice reimbursement requirement data;

[0068] It should be noted that the overall type processing impact is used to digitally represent the processing impact of all abnormal invoice reimbursements of all invoice types; the larger the overall type processing impact, the more abnormal the processing impact of all corresponding invoice types;

[0069] If the overall processing impact is not greater than 1, an overall processing slight impact instruction is generated and a local exception management plan is implemented;

[0070] If the overall processing impact is greater than 1, an overall processing severe impact instruction is generated and an overall exception management plan is implemented;

[0071] Among them, the implementation of the local exception management plan can implement targeted training and punishment measures only for all abnormal reasons that appear in the second invoice type;

[0072] Implementing a holistic exception management program allows for targeted training and penalties for all exception causes across all invoice types.

[0073] In the embodiment of the present invention, data processing is first performed on the local type processing impacts corresponding to different invoice types, and then the overall type processing impacts corresponding to all invoice types are processed and analyzed, and the financial invoice reimbursement is adaptively optimized and managed accordingly based on the analysis results. While different dimensions of supervision and analysis of existing financial invoice reimbursements are achieved, targeted optimization management can be performed on subsequent financial invoice reimbursements, thereby improving the autonomous multi-dimensional supervision effect and adaptive management effect of corporate financial invoice reimbursement.

[0074] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0075] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0076] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0077] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0078] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. An intelligent management system for enterprise financial information data, characterized in that: include: The financial information processing supervision and analysis module is used to monitor and count the entire process of invoice reimbursement processing by financial personnel, and to digitize and analyze the processing of each reimbursement invoice to obtain the invoice reimbursement supervision processing sequence, and to perform data expansion processing on the invoice reimbursement supervision processing sequence to obtain the invoice type processing sequence; Among them, the behavior of financial personnel in processing different types of invoice reimbursements is monitored and counted, and the start processing timestamp and end processing timestamp corresponding to the financial personnel processing the reimbursement invoices, as well as the processing status corresponding to the reimbursement invoices, are obtained; Calculate the processing duration of the corresponding reimbursement invoice based on the end processing timestamp and the start processing timestamp; Digitally process the processing status corresponding to the reimbursement invoice to obtain the corresponding processing status identifier; The invoice type, the start processing timestamp, the end processing timestamp, the processing duration and the processing status identifier corresponding to the invoice to be processed for reimbursement are sorted and combined to obtain an invoice reimbursement processing monitoring sequence; When the processing of reimbursement invoices is digitally processed, each data in the invoice reimbursement processing monitoring sequence is calculated through the processing state identification piecewise function to obtain the individual processing validity GC corresponding to the reimbursement invoice; Among them, the expression of the processing state identification piecewise function is ; In the formula, e is a natural constant; Tc is the duration of processing reimbursement invoices; The standard processing duration for reimbursement invoices of the same invoice type; CB is the processing status indicator; Arrange and combine the individual processing validity corresponding to different processing reimbursement invoices in the order of processing time to obtain the invoice reimbursement supervision processing sequence; When performing data processing and analysis on the invoice type abnormal impact dimension of the invoice reimbursement supervision processing sequence, all invoice types for which the financial staff implements invoice reimbursement processing are counted, and the individual processing validity corresponding to different invoice types is counted and ranked and combined to obtain the individual invoice type supervision processing sequence; The individual invoice type supervision processing sequences corresponding to different invoice types are processed in turn, the individual invoice type supervision processing sequences are traversed and the total number of elements N with non-zero values ​​is counted, and the values ​​of all non-zero elements are calculated to obtain the type processing heterogeneity of the corresponding invoice type; the calculation formula for type processing heterogeneity is: ; In the formula, LC is the type treatment heterogeneity; GCj is the individual treatment validity of different non-zero reimbursement invoices; j=1, 2, 3, ..., N; N is a positive integer; j is different non-zero reimbursement invoices; Total number of reimbursement invoices processed for the corresponding invoice type; All individual processing validity corresponding to all invoice types are sorted and combined to obtain the invoice type processing sequence; The financial information processing and evaluation management module is used to implement multi-dimensional processing and impact analysis on the invoice type processing sequence obtained, and adaptively optimize the financial invoice reimbursement accordingly based on the analysis results; Among them, when the digital processing and calculation of the local type processing influence state of the invoice type is performed according to the invoice type processing sequence, the individual processing validity corresponding to different invoice types is calculated by the formula JC=LC / A to obtain the corresponding local type processing influence JC; in the formula, A is the standard value of the invoice type processing influence; The local type processing influence is analyzed and combined to obtain the invoice type processing influence sequence; the local type processing influence is used to digitally represent the processing influence of all abnormal invoice reimbursements of the invoice type; The data of the local type processing influence of different invoice types is analyzed and the corresponding overall type processing influence is obtained by extended calculation; Calculate and obtain the overall type processing impact ZC corresponding to the second invoice type; where exp() is an exponential function with the natural constant e as the base; Ny is the total number of the second invoice type; is the total number of all invoice types; B is the standard value of overall processing impact; the overall type processing impact is used to digitally represent the processing impact of all abnormal invoice reimbursements of all invoice types; Conduct data analysis on the overall type processing impact and dynamically and adaptively implement targeted exception management solutions; targeted exception management solutions include local exception management solutions or overall exception management solutions.

2. According to claim 1, the intelligent management system for enterprise financial information data is characterized in that: When the processing status corresponding to the reimbursement invoice is digitally processed, if the processing status is normal, the processing status indicator corresponding to the processing status is set to 0; If the processing status is abnormal, the abnormal cause is input into the abnormal database for traversal retrieval to obtain the corresponding abnormal cause weight, and the value of the abnormal cause weight is extracted and set as the processing status identifier CB.

3. The enterprise financial information data intelligent management system according to claim 1, characterized in that: If the local type processing impact is not greater than 1, a processing impact normal instruction is generated and the corresponding invoice type is marked as the first invoice type; If the local type processing impact is greater than 1, a processing impact exception instruction is generated and the corresponding invoice type is marked as the second invoice type; The calculated local type processing influence is used to fill and update the data at the corresponding position of the invoice type processing sequence to obtain the invoice type processing influence sequence.

4. The enterprise financial information data intelligent management system according to claim 1, characterized in that: If the overall type processing impact is not greater than 1, an overall processing slight impact instruction is generated and a local exception management plan is implemented; If the overall type processing impact is greater than 1, an overall processing severe impact instruction is generated and an overall exception management plan is implemented.

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