Enterprise management system based on big data analysisTechnical Field
The application relates to the technical field of enterprise management, in particular to an enterprise management system based on big data analysis.
Background
The enterprise information is generated in the enterprise or applied to the enterprise department, and the processed information, data, information are collectively called, which acts on the economic activity of the enterprise in the process of generation, transmission and communication, supports scientific decision of manager and serves for maximizing the benefit of the enterprise.
According to the patent application No. cn202210798227.X, it is shown that the patent comprises: and (3) an infrastructure module: acquiring enterprise work item data, acquiring acquisition data, optimizing the enterprise post distribution through an optimal scale technology according to the acquisition data, and determining a post optimization framework; the object tracking module: based on the post optimization framework, generating a transaction report by tracking and recording enterprise thing data; model prediction module: performing object prediction model construction according to object data recorded in the transaction report to obtain an object prediction model; overall management module: the system and the method are used for allocating and managing enterprise transactions and enterprise services based on the object prediction model to acquire management results, and not only do optimization and adjustment on post distribution and personnel distribution of enterprises through a big data analysis technology, but also can realize high-efficiency enterprise intelligent management and create greater economic benefits for enterprises.
The enterprise management system of the patent performs optimization adjustment on post distribution and personnel distribution of an enterprise by analyzing data, but clients of the enterprise are an important ring of enterprise development, the relationship between the clients needs to be maintained when the enterprise operates, but part of existing systems have defects in analyzing the relationship between the enterprise and the clients, and the relationship between the enterprise and the clients cannot be well analyzed according to the data, so that whether the maintenance work of the client information is needed or not cannot be well judged.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides an enterprise management system based on big data analysis, which solves the problem that the relationship between an enterprise and a client cannot be well analyzed according to data, so that whether the maintenance work of the client information is needed cannot be well judged.
In order to achieve the above purpose, the application is realized by the following technical scheme: an enterprise management system based on big data analysis, comprising:
the data acquisition unit is used for acquiring basic data of a target object and transmitting the basic data to the comprehensive analysis unit, wherein the target object is: the enterprise client, the basic data includes: the number of times of ordering, the time of ordering and the number of times of ordering;
the comprehensive analysis unit is used for acquiring and analyzing the transmitted basic data of the target object, analyzing the number of times of ordering and the number of times of ordering to obtain a feedback value of the target object, calculating the ordering value of the target object according to the ordering time, comprehensively calculating the comprehensive maintenance value of the target object, and classifying the target object according to the maintenance value to generate corresponding classification information, wherein the classification information comprises: normal enterprise client information and client information to be maintained, then the normal enterprise client information is transmitted to the second processing unit, and the client information to be maintained is transmitted to the first processing unit;
the first processing unit is used for acquiring and analyzing the transmitted customer information to be maintained, analyzing and judging the overall situation of the customer to be maintained through the ordering situation of the customer to be maintained, and generating a corresponding analysis signal according to the overall situation, wherein the analysis signal comprises the following components: the normal signal and the early warning signal transmit the analysis signal to the reason analysis unit at the same time;
the second processing unit is used for acquiring and analyzing the transmitted normal enterprise client information, maintaining the relationship between the enterprise and the client by continuously following the normal enterprise client, avoiding the loss of the client, generating normal maintenance information and transmitting the normal maintenance information to the information output unit;
the reason analysis unit is used for acquiring and analyzing the transmitted analysis signals, respectively analyzing the normal signals and the early warning signals in the analysis signals, analyzing the corresponding time interval of the ordering corresponding to the normal signals to obtain corresponding reason information, comprehensively analyzing the times and the quantity of the ordering corresponding to the early warning signals to obtain the corresponding reason information, and transmitting the reason information to the information output unit.
As a further aspect of the application: the specific mode of the comprehensive analysis unit for generating the classification information is as follows:
s1: all target objects are acquired and marked as i, and i=1, 2, …, n, then the number of orders and the number of orders corresponding to the target object i are acquired and marked as Ci and Li, then the number of orders Li of the target object i is analyzed, the completion amount of the target object i is marked as Wi, and then Wi and Li are substituted into the formulaCalculating to obtain a single completion value Qi of the target object i, calculating an average value of all the single completion values Qi, and simultaneously marking the average value as a target object completion value WCi; what needs to be explained here is: wi and Li are expressed as a single order quantity and a single completion quantity.
S2: acquiring the time record of the next order of the target object i as Ti, simultaneously calculating the time interval value record of the next two times of the next order of the target object i as TCi, then calculating the sum of the values of all the time interval values TCi as TCz, and then substituting Ci and TCz into a formulaCalculating to obtain a subordinate value Txi of the target object i;
s3: then substituting the next value Txi and the completion value WCi of the target object i into a formula WHi =txi+ WCi to calculate a comprehensive maintenance value WHi of the target object i, simultaneously obtaining the comprehensive maintenance values of all the target objects and calculating the average value of the comprehensive maintenance values as Wp, and comparing the comprehensive maintenance value WHi of the target object i with the Wp in the following specific comparison manner:
when WHi > Wp, the comprehensive maintenance value of the target object i is higher than the overall maintenance value of the target object, the corresponding target object is classified as a normal enterprise client, and normal enterprise client information is generated, otherwise when WHi is less than or equal to Wp, the comprehensive maintenance value of the target object i is lower than the overall maintenance value of the target object, the corresponding target object is classified as a client to be maintained, and the client information to be maintained is generated.
As a further aspect of the application: the specific way of generating the analysis signal by the first processing unit is as follows:
p1: obtaining all clients to be maintained, carrying out label processing on the clients to be maintained and recording the clients as o, wherein o=1, 2, … and m, taking a current time node as a starting point and taking t as a time period to obtain k periods before the starting point, and then obtaining the ordering condition of the clients o to be maintained in k time periods, wherein the ordering condition represents the total ordering quantity, a specific calculation mode is that the ordering quantity and the corresponding ordering quantity in a single time period are obtained, and then the total ordering quantity in the single time period is calculated;
p2: acquiring the ordering conditions of all clients o to be maintained, simultaneously taking the time period as an abscissa, establishing a rectangular coordinate system by taking the ordering conditions as an ordinate, drawing a graph of the ordering conditions corresponding to different time periods, and judging the increasing and decreasing trend of the graph;
p3: and when the graph is in a descending trend, the situation of the customer to be maintained is indicated to be a decreasing trend, and the customer to be maintained is marked and an early warning signal is generated.
As a further aspect of the application: the specific way of the reason analysis unit for analyzing the normal signal to generate the reason information is as follows:
a1: acquiring customer information to be maintained corresponding to a normal signal, acquiring corresponding ordering time, acquiring interval marks of two adjacent ordering times as JG, judging the increasing and decreasing trend of interval time JG, indicating that the customer to be maintained is normal and does not perform any processing when the interval time JG is a decreasing trend, otherwise, indicating that the customer to be maintained is abnormal and generating early warning analysis information when the interval time JG is an increasing trend;
a2: obtaining a client to be maintained corresponding to the early warning analysis information, obtaining a single completion amount and a single order setting amount of the client to be maintained, calculating a completion value of the client to be maintained as Y, and analyzing the completion value Y of the client to be maintained;
a3: when the completion value Y of the client to be maintained is increased, the situation that the enterprise completion situation is not problematic is indicated, the client reason is generated, and meanwhile, the client reason information is generated, otherwise, when the completion value Y of the client to be maintained is decreased, the situation that the enterprise completion situation is problematic is indicated, the enterprise reason is generated, and meanwhile, the enterprise reason information is generated.
As a further aspect of the application: the specific mode of analyzing the early warning signal by the reason analysis unit to obtain the reason information is as follows:
b1: acquiring customer information to be maintained corresponding to the early warning signals, acquiring corresponding order placing times and order placing quantity, simultaneously establishing a relationship diagram of the order placing times and the order placing quantity, and analyzing the order placing condition of the customer to be maintained according to the relationship diagram;
b2: when the whole relation diagram is unchanged, the client to be maintained is normal and normal maintenance information is generated, when the whole relation diagram is in an increasing trend, the amount of the client to be maintained is increased and key maintenance information is generated, and when the whole relation diagram is in a decreasing trend, the amount of the client to be maintained is reduced and maintenance information is generated;
b3: and then analyzing the maintenance information in the same analysis modes in A2 and A3 to generate corresponding reason information.
As a further aspect of the application: the information output unit is used for acquiring the transmitted reason information and the normal maintenance information and displaying the reason information and the normal maintenance information to an operator through the display equipment.
Advantageous effects
The application provides an enterprise management system based on big data analysis. Compared with the prior art, the method has the following beneficial effects:
according to the method, the clients are classified into normal enterprise clients and enterprise clients to be maintained according to the client data recorded by the enterprise, then the data analysis is carried out on the enterprise clients to be maintained, the enterprise clients are comprehensively analyzed according to the ordering amount, the ordering times, the ordering time and the working conditions of the enterprise, so that the enterprise clients become specific reasons of the clients to be maintained, the specific reasons are reasonably processed, on one hand, the change trend of the cooperative relationship between the enterprise and the clients can be obtained through the data analysis, on the other hand, the reasons existing between the enterprise and the client can be obtained through the analysis, the enterprise clients are maintained according to the specific solutions of the reasons, and the loss of the clients to the enterprise is avoided.
Drawings
FIG. 1 is a system diagram of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the present application provides an enterprise management system based on big data analysis, comprising:
the data acquisition unit is used for acquiring basic data of a target object and transmitting the basic data to the comprehensive analysis unit, wherein the target object is: the enterprise client, the basic data includes: number of orders, time of order, and number of orders.
The comprehensive analysis unit is used for acquiring and analyzing the transmitted basic data of the target object, analyzing the number of times of ordering and the number of times of ordering to obtain a feedback value of the target object, calculating the ordering value of the target object according to the ordering time, comprehensively calculating the comprehensive maintenance value of the target object, and classifying the target object according to the maintenance value to generate corresponding classification information, wherein the classification information comprises: the normal enterprise client information and the client information to be maintained are transmitted to the second processing unit, the client information to be maintained is transmitted to the first processing unit, and the specific mode for generating the classification information is as follows:
s1: all target objects are acquired and marked as i, and i=1, 2, …, n, then the number of orders and the number of orders corresponding to the target object i are acquired and marked as Ci and Li, then the number of orders Li of the target object i is analyzed, the completion amount of the target object i is marked as Wi, and then Wi and Li are substituted into the formulaCalculating to obtain a single completion value Qi of the target object i, calculating an average value of all the single completion values Qi, and simultaneously marking the average value as a target object completion value WCi; what needs to be explained here is: wi and Li are expressed as a single order quantity and a single completion quantity.
S2: acquiring the time record of the next order of the target object i as Ti, simultaneously calculating the time interval value record of the next two times of the next order of the target object i as TCi, then calculating the sum of the values of all the time interval values TCi as TCz, and then substituting Ci and TCz into a formulaCalculating to obtain a subordinate value Txi of the target object i;
s3: then substituting the next value Txi and the completion value WCi of the target object i into a formula WHi =txi+ WCi to calculate a comprehensive maintenance value WHi of the target object i, simultaneously obtaining the comprehensive maintenance values of all the target objects and calculating the average value of the comprehensive maintenance values as Wp, and comparing the comprehensive maintenance value WHi of the target object i with the Wp in the following specific comparison manner:
when WHi > Wp, the comprehensive maintenance value of the target object i is higher than the overall maintenance value of the target object, the corresponding target object is classified as a normal enterprise client, and normal enterprise client information is generated, otherwise when WHi is less than or equal to Wp, the comprehensive maintenance value of the target object i is lower than the overall maintenance value of the target object, the corresponding target object is classified as a client to be maintained, and the client information to be maintained is generated.
The first processing unit is used for acquiring and analyzing the transmitted customer information to be maintained, analyzing and judging the overall situation of the customer to be maintained through the ordering situation of the customer to be maintained, and generating a corresponding analysis signal according to the overall situation, wherein the analysis signal comprises the following components: the normal signal and the early warning signal are transmitted to the reason analysis unit at the same time, and the specific mode for generating the analysis signal is as follows:
p1: obtaining all clients to be maintained, carrying out label processing on the clients to be maintained and recording the clients as o, wherein o=1, 2, … and m, taking a current time node as a starting point and taking t as a time period to obtain k periods before the starting point, and then obtaining the ordering condition of the clients o to be maintained in k time periods, wherein the ordering condition represents the total ordering quantity, a specific calculation mode is that the ordering quantity and the corresponding ordering quantity in a single time period are obtained, and then the total ordering quantity in the single time period is calculated;
p2: acquiring the ordering conditions of all clients o to be maintained, simultaneously taking the time period as an abscissa, establishing a rectangular coordinate system by taking the ordering conditions as an ordinate, drawing a graph of the ordering conditions corresponding to different time periods, and judging the increasing and decreasing trend of the graph;
p3: and when the graph is in a descending trend, the situation of the customer to be maintained is indicated to be a decreasing trend, and the customer to be maintained is marked and an early warning signal is generated.
The reason analysis unit is used for acquiring and analyzing the transmitted analysis signals, respectively analyzing the normal signals and the early warning signals in the analysis signals, analyzing the corresponding issuing interval time corresponding to the normal signals to obtain corresponding reason information, comprehensively analyzing the issuing times and the issuing quantity corresponding to the early warning signals to obtain the corresponding reason information, transmitting the reason information to the information output unit, and generating the reason information in the following specific modes:
the specific way of analyzing the normal signal to obtain the reason information is as follows:
a1: acquiring customer information to be maintained corresponding to a normal signal, acquiring corresponding ordering time, acquiring interval marks of two adjacent ordering times as JG, judging the increasing and decreasing trend of interval time JG, indicating that the customer to be maintained is normal and does not perform any processing when the interval time JG is a decreasing trend, otherwise, indicating that the customer to be maintained is abnormal and generating early warning analysis information when the interval time JG is an increasing trend;
a2: obtaining a client to be maintained corresponding to the early warning analysis information, obtaining a single completion amount and a single order setting amount of the client to be maintained, calculating a completion value of the client to be maintained as Y, and analyzing the completion value Y of the client to be maintained;
a3: when the completion value Y of the client to be maintained is increased, the situation that the enterprise completion situation is not problematic is indicated, the client reason is generated, and meanwhile, the client reason information is generated, otherwise, when the completion value Y of the client to be maintained is decreased, the situation that the enterprise completion situation is problematic is indicated, the enterprise reason is generated, and meanwhile, the enterprise reason information is generated. What needs to be explained here is: the working condition of the enterprise is reflected through the single completion condition, if the completion condition is an increasing trend, the working condition of the enterprise is good, the reasons of the enterprise are not the reasons of the clients themselves, so that the clients to be maintained are required to be maintained, otherwise, when the completion condition is reduced, the working condition of the enterprise is indicated to be reduced, and the client ordering condition is reduced, so that the enterprise is required to be supervised and promoted integrally, and meanwhile, the clients are required to be maintained, so that the loss of the clients to the enterprise is avoided.
The specific mode for analyzing the early warning signal to obtain the reason information is as follows:
b1: acquiring customer information to be maintained corresponding to the early warning signals, acquiring corresponding order placing times and order placing quantity, simultaneously establishing a relationship diagram of the order placing times and the order placing quantity, and analyzing the order placing condition of the customer to be maintained according to the relationship diagram;
b2: when the whole relation diagram is unchanged, the client to be maintained is normal and normal maintenance information is generated, when the whole relation diagram is in an increasing trend, the amount of the client to be maintained is increased and key maintenance information is generated, and when the whole relation diagram is in a decreasing trend, the amount of the client to be maintained is reduced and maintenance information is generated;
b3: and then analyzing the maintenance information in the same analysis modes in A2 and A3 to generate corresponding reason information.
The second processing unit is used for acquiring and analyzing the transmitted normal enterprise client information, maintaining the relationship between the enterprise and the client by continuously following the normal enterprise client, avoiding the loss of the client, generating normal maintenance information and transmitting the normal maintenance information to the information output unit.
And the information output unit is used for acquiring the transmitted reason information and the normal maintenance information and displaying the reason information and the normal maintenance information to an operator through the display equipment.
And all that is not described in detail in this specification is well known to those skilled in the art.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.