WO2023098571A1 - Method and apparatus for evaluating mature state of enterprise digital middle platform - Google Patents

Abstract

Disclosed in the present application are a method and apparatus for evaluating the mature state of an enterprise digital middle platform. The method comprises: constructing an evaluation data index system according to structured data in an enterprise digital middle platform; determining the score of an evaluation index according to an acquired numerical value of the evaluation index and a set target value of the evaluation index; according to the score of the evaluation index and an acquired index basic weight of the evaluation index, determining the score of an evaluation dimension corresponding to the evaluation index; determining a maturity score of the enterprise digital middle platform according to the score of the evaluation dimension and a determined dimension basic weight of the evaluation dimension; and according to a standard score interval, in which the maturity score is located, of a mature state grade of the constructed enterprise digital middle platform, determining a grade stage corresponding to the mature state of the enterprise digital middle platform. Therefore, the stage of the mature state of the enterprise digital middle platform can be determined, and thus a reference is provided for directions such as subsequent maintenance and operation of the enterprise digital middle platform.

Description

A method and device for assessing the maturity status of an enterprise digital center

This application claims the priority of the Chinese patent application submitted to the China Patent Office on November 30, 2021, with the application number 202111445790.0, and the title of the invention is "A Method and Device for Evaluating the Maturity Status of Enterprise Digital Center", the entire content of which is passed References are incorporated in this application.

technical field

This application relates to the field of computer application technology, in particular to a method and device for assessing the maturity status of an enterprise digital center. The present application relates to a computer storage medium and an electronic device at the same time.

Background technique

With the continuous discovery of science and technology, computer foundations such as informatization and intelligence have been widely applied to various industries and daily life. Driven by industry and technology, digital transformation has become the consensus of enterprises. Digital transformation (Digital transformation) is based on digital transformation (Digitization) and digital upgrade (Digitalization), which can touch the core business of the enterprise and establish a transformation with the goal of business operation model.

With the continuous advancement and deepening of enterprise sharing capabilities in the form of digital services, in order to deposit the core capabilities of enterprises on the platform in a digital form with the continuous development of business, form a service-centered data platform built by the business center and data center The digital middle platform of the closed-loop operation system has become an effective system form and organizational method for enterprises to carry out digital transformation; it allows enterprises to conduct business exploration and innovation more efficiently, and realize the construction of enterprise core differentiation competitiveness in the form of digital assets.

Contents of the invention

This application provides a method for assessing the mature state of an enterprise digital middle platform, so as to solve the problems in the prior art that it is impossible to understand the construction of the enterprise digital middle platform, and then it is impossible to optimize the enterprise digital middle platform according to the construction situation.

This application provides a method for assessing the maturity status of an enterprise digital center, including: constructing an evaluation data index system based on structured data in an enterprise digital center; wherein, the evaluation data index system includes: an evaluation dimension and a relationship with the evaluation dimension Corresponding evaluation index; according to the obtained value of the evaluation index and the set target value of the evaluation index, determine the score of the evaluation index; according to the score of the evaluation index and the acquired value of the evaluation index Index basic weight, determining the score of the evaluation dimension corresponding to the evaluation index; determining the maturity of the enterprise digital middle platform according to the score of the evaluation dimension and the determined dimension basic weight of the evaluation dimension Score; according to the maturity score located in the standard score interval of the established enterprise digital platform maturity level, determine the level stage corresponding to the maturity state of the enterprise digital platform; wherein, the maturity state represents the The complete state of the operation of the enterprise digital center.

The present application also provides an interactive method for assessing the maturity state of the enterprise digital middle platform, including: receiving an evaluation request for the maturity assessment of the enterprise digital middle platform; in response to the evaluation request, according to the enterprise digital middle platform The maturity score is located in the standard score range of the mature state level of the established enterprise digital center, and the determined stage corresponds to the maturity state of the enterprise digital center, wherein the mature state represents the completeness of the operation of the enterprise digital center Status; output the grade stage and reference information corresponding to the grade stage, wherein the reference information is information used to describe the next stage of the grade stage and/or the grade stage corresponds to index information to be adjusted .

The present application also provides an electronic device, including: a processor; a memory for storing a program for processing data generated by a network platform, and when the program is read and executed by the processor, it executes the above-mentioned enterprise digital middle platform The steps of the method for assessing the maturity state of the enterprise; or, the steps of the above-mentioned interactive method for the maturity state of the enterprise digital middle platform.

Compared with the prior art, the present application has the following advantages:

The application provides a method for assessing the maturity status of an enterprise digital middle platform, by constructing an evaluation data index system based on the structured data in the enterprise digital middle stage, according to the value of the evaluation index in the evaluation data index system and the evaluation index Determine the score of the evaluation index; determine the score of the evaluation dimension corresponding to the evaluation index according to the score of the evaluation index and the index basic weight of the evaluation index; according to the evaluation dimension According to the score value of the evaluation dimension and the dimension basic weight of the evaluation dimension, the maturity score of the enterprise digital center is determined; according to the maturity score combined with the standard score interval of the maturity level of the enterprise digital center, the maturity level of the enterprise digital center is determined. The level stage corresponding to the maturity state of the enterprise digital middle platform can determine the stage of the mature state of the enterprise digital middle platform, and then provide reference for the subsequent maintenance and operation of the enterprise digital middle platform.

In order to further ensure the accuracy of the evaluation of the mature state of the enterprise digital center and avoid deviations in the evaluation of the mature state caused by subjective factors, the basic weight of the index can also be adjusted in combination with the user's feedback data, and/or, the dimension The base weights are adjusted to improve the accuracy of the evaluation.

In order to help enhance the consistency of the result orientation of the mature state evaluation, namely: ensure that the score of the evaluation index is mapped to each evaluation index value in the range [0, 100] has the same result orientation (the lower the score, the higher the The higher the score, the better), the evaluation index can be divided according to the characteristics of the index, divided into the first type of evaluation index and the second type of evaluation index, and the score of the first type of evaluation index can be obtained by calculation and the scores of the second category of evaluation indicators, the scores of the evaluation dimensions are determined according to the scores of the first category of assessment indicators, the scores of the second category of assessment indicators, and the corresponding indicator base weights (or indicator target weights), Thereby ensuring the consistency of the results orientation of the maturity status assessment.

Description of drawings

FIG. 1 is a flow chart of an embodiment of a method for assessing the maturity status of an enterprise digital center platform provided by the present application;

Fig. 2 is a schematic diagram of the architecture of the enterprise digital middle platform in an embodiment of the method for assessing the maturity status of the enterprise digital middle platform provided by the present application;

Fig. 3 is a schematic diagram showing the stage of maturity status in an embodiment of a method for evaluating the maturity status of an enterprise digital middle platform provided by the present application;

FIG. 4 is a schematic structural diagram of an embodiment of a mature state assessment device for an enterprise digital center platform provided by the present application;

Fig. 5 is a flow chart of an embodiment of an interactive method for assessing the maturity state of an enterprise digital middle platform provided by the present application; and

Fig. 6 is a schematic structural diagram of an embodiment of an electronic device provided by the present application.

Detailed ways

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

The terminology used in the present application is for the purpose of describing particular embodiments only, and is not intended to limit the present application. The descriptions used in this application and in the appended claims, such as: "a", "first", and "second", etc., are not limited to the number or sequence, but Used to distinguish information of the same type from one another.

Combining the above background technologies, it can be seen that the enterprise digital middle platform is a business-oriented capability combination and reuse, providing an integrated solution, with the purpose of improving R&D efficiency and reducing innovation costs. The enterprise digital middle platform may include users, combinations, platforms, data, standards, and norms, and is an overall system of users and systems. That is: the enterprise digital middle platform is an enterprise-level capability reuse platform that abstracts the common needs of enterprises and builds them into platform-based and component-based system capabilities, which are shared by various business units in the form of interfaces and components.

The practical stage involved in the construction process of the enterprise digital middle platform, and the practical stage after the construction need to understand the construction of the enterprise digital middle platform itself and the direction of improvement and optimization. Therefore, it is necessary to know the mature state of the enterprise digital middle platform, in order to Determine the improvement or optimization plan for the enterprise digital center to provide reference. In view of this, this application provides a method for evaluating the maturity status of an enterprise digital center, as shown in Figure 1, which is a flow chart of an embodiment of a method for evaluating the maturity status of an enterprise digital center provided by this application. Examples of state assessment methods include:

Step S101: Construct an evaluation data index system according to the structured data in the enterprise digital center; wherein, the evaluation data index system includes: evaluation dimensions and evaluation indicators corresponding to the evaluation dimensions.

The enterprise digital middle station in the step S101 may be as described in the background technology section. In this embodiment, the functional architecture of the enterprise digital middle station (as shown in FIG. 2 ) may include: a business operation platform, a business construction platform, business operation platform, etc. Each platform can also include specific sub-platforms, for example: the business operation platform can include the business capability operation sub-platform (internal) and the business capability opening sub-platform (external); the business construction platform can include the business modeling sub-platform, business application sub-platforms, integration platform sub-platforms, and exercise stress testing sub-platforms, etc.; business operation platforms may include one-stop business operation sub-platforms and one-stop business operation and maintenance sub-platforms, etc. The enterprise digital center can also be adapted and connected to cloud services. Here, it is only an overview of the enterprise digital middle platform architecture. According to the business needs of the enterprise and the requirements of the digital transformation of the enterprise, the enterprise digital middle platform architecture may also include other platforms.

The purpose of the step S101 is to construct an evaluation data index system. In this embodiment, the structured data in the enterprise digital center can be understood as the log data of the enterprise digital center, specifically, it can be the business operation platform, business modeling platform, business operation platform, etc. included in the enterprise digital center Business log data generated in the platform.

The specific implementation process of the step S101 may be:

Step S101-1: According to the log data generated by the enterprise digital center, determine the evaluation dimension for measuring the maturity of the enterprise digital center and the evaluation index corresponding to the evaluation dimension;

Step S101-2: Construct the evaluation data index system according to the evaluation dimension and the evaluation index.

In this embodiment, the evaluation dimension may include at least one of the following:

Functional completeness dimension, intelligence level dimension and user experience dimension.

The evaluation indicators corresponding to the functional completeness dimension may include at least one of the following evaluation indicators, but are not limited to the following evaluation indicators: the number of requirements completed, the average call success rate of business capabilities, the number of security vulnerabilities, the average response speed of business capabilities, the number of service users, Evaluation indicators such as maximum call volume, average call volume, maximum number of concurrent users, throughput, and average response time. Wherein, the number of completed requirements can be understood as the completed quantity in the enterprise digital middle platform construction demand list; the average business capability call success rate can be understood as the average value of the business capability call success rate in the enterprise digital middle station project; The number of security vulnerabilities can be understood as the number of security vulnerabilities detected by the enterprise digital platform; the average response speed of business capabilities can be understood as the average response speed of commercial capabilities in the enterprise digital platform project; the number of service users can be understood as the number of enterprise digital The number of service users in the middle station; the maximum number of calls can be understood as the maximum value of calls within the statistical period; the average call can be understood as the average value of calls within the statistical period; the highest number of concurrent users can be understood as concurrent The maximum number of users accessed; the throughput can be understood as the throughput of the enterprise digital center; the average response time can be understood as the average response time of the enterprise digital center to the business.

The evaluation indicators corresponding to the intelligent level dimension may include at least one of the following, but not limited to the following evaluation indicators: the number of algorithm interfaces, the average reuse rate of algorithm interfaces, the average call volume of algorithm interfaces, the number of available data sets, and the proportion of automated processes. Ratio, low-code application quantity and other indicators; wherein, the number of algorithm interfaces can be understood as the statistical quantity of algorithm interfaces in the enterprise digital center project; the average reuse rate of the algorithm interface can be understood as the average value of the algorithm interface reuse rate; The average call volume of the algorithm interface can be understood as the mean value of the call volume of the algorithm interface; the number of available data sets can be understood as the number of trainable data sets; the proportion of the automated process can be understood as the proportion of the automated process to all processes; The number of low-code applications can be understood as the number of low-code applications in the enterprise digital platform.

The evaluation indicators corresponding to the user experience dimension may include at least one of the following evaluation indicators, but are not limited to the following evaluation indicators: number of bugs, bug repair rate, delay rate, number of seven-day active users, average time-consuming new project deployment and other evaluation indicators; , the number of bugs can be understood as the number of bugs in the entire enterprise digital center project; the bug repair rate can be understood as the bug repair rate of the current version of the enterprise digital center compared to the previous version; the delay rate can be understood as the user The average delay rate of clicks; the number of active users can be understood as statistics on the number of active users; the average time-consuming of new project deployment can be understood as the average time-consuming required for the deployment of newly created projects in the enterprise digital center.

The above is the description of the function completeness dimension, the intelligence level dimension, the user experience dimension, and the evaluation indicators corresponding to each dimension in this embodiment. In fact, both the evaluation dimension and the evaluation index can be The business or deployment business projects involved in the enterprise digital center are set or adjusted. In other words, for various business platforms or service platforms involved or deployed in the enterprise digital middle platform, corresponding evaluation dimensions can be set and corresponding evaluation indicators can be obtained. It is also possible to construct an evaluation data index system for the evaluation dimensions and evaluation indicators of a certain platform in the enterprise digital center alone, so as to realize the evaluation of the maturity status of a designated platform in the enterprise digital center. Therefore, the above evaluation dimensions and evaluation indicators It can be one of them or a combination of several. In this embodiment, the above-mentioned three evaluation dimensions coexist as an embodiment for description.

Step S102: Determine the score of the evaluation index according to the obtained value of the evaluation index and the set target value of the evaluation index;

The purpose of step S102 is to determine the score of the evaluation index, which needs to be determined according to the value of the evaluation index and the set target value of the evaluation index.

Wherein, the value of the evaluation index may be obtained based on the definition of the evaluation index in the above step S101, that is, the value of the evaluation index is counted according to the definition of the evaluation index. The value of the statistical evaluation index can be stored in the database. In order to facilitate the periodic evaluation of the maturity status of the enterprise digital center, the value of the evaluation index stored in the database can be periodically updated. It can also be used to make statistics when it is necessary to evaluate the maturity status of the enterprise digital middle platform.

Wherein, the target value of the evaluation index may be a reference experience value, which may be preset or set when calculating the score of the evaluation index.

The specific implementation process of the step S102 may include:

Step S102-1: According to the index characteristics of the evaluation index, divide the evaluation index into the first type of evaluation index and the second type of evaluation index; in this embodiment, if the index characteristics are larger (more), the better The indicators can be divided into the first type of evaluation indicators, that is, very large evaluation indicators or benefit-based evaluation indicators, such as: the number of algorithm interfaces in the dimension of intelligence level, the number of active users in the user experience dimension, etc. If the characteristics of indicators are as small (less) as possible, they can be divided into the second type of evaluation indicators, that is, extremely small evaluation indicators or cost-based evaluation indicators, such as: the number of bugs in the user experience dimension, and the average of the functional completeness dimension. Response time evaluation metrics.

Step S102-2: According to the value of the evaluation index and the target value, determine the score of the first type of evaluation index and the score of the second type of evaluation index.

In the step S102-2, the score of the first type of evaluation index can be calculated by the following formula:

In the step S102-2, the score of the second type of evaluation index can be calculated by the following formula:

Among them, the V index i represents the value of the evaluation index; the T index i represents the target value of the evaluation index; the S index i represents the score of the evaluation index.

Step S103: Determine the score of the evaluation dimension corresponding to the evaluation index according to the score of the evaluation index and the obtained index basic weight of the evaluation index;

The purpose of the step S103 is to determine the score of the evaluation dimension. In this embodiment, the score of the evaluation dimension can be determined according to the score of the evaluation index calculated in the step S102 and the obtained index basic weight of the evaluation index. .

The index basic weight of described evaluation index can adopt AHP method (Analytic Hierarchy Process, namely The analytic hierarchy process, be called for short AHP), ANP method (network analysis method, be Analytic Network Process, be called for short ANP) and entropy value method etc. a way. In this embodiment, AHP is used as an example for description. Common methods for determining the evaluation index weight in the AHP tomographic analysis method may include arithmetic mean method, geometric mean method, eigenvalue method, etc., which method is not specifically limited in this embodiment.

The step S103 includes: obtaining the index basic weight of the evaluation index, and the specific implementation process may include:

Step S103-11: Establish a judgment matrix according to the evaluation index;

Step S103-12: Perform normalization processing on the judgment matrix according to columns, and determine the normalization matrix;

Step S103-13: Summing the normalization matrix by row to determine the sum matrix of the evaluation index;

Step S103-14: Divide the sum of the evaluation indicators in the sum matrix by the number of the evaluation indicators in the normalization matrix to determine the basic weight of the indicators.

The above step S103-11 to step S103-14 are described respectively below:

According to the comparative standard scale of AHP, the above evaluation indicators are scored. The standard scale representation of the AHP AHP can be as follows:

Scaling	meaning
1	Indicates that two factors are of equal importance compared to
3	Indicates that when compared to two factors, one factor is slightly more important than the other
5	Indicates that when two factors are compared, one factor is significantly more important than the other
7	Indicates that when two factors are compared, one factor is strongly more important than the other
9	Indicates that when two factors are compared, one factor is extremely important than the other
2, 4, 6, 8	The median value of the above two adjacent judgments
reciprocal	If the scale of A is 3 compared to B, then B is 1/3 compared to A

In this embodiment, the specific implementation process of the step S103-11 may be: establishing a judgment matrix by using pairwise comparison of the evaluation indicators in Taichung in the enterprise digital center. The evaluation index in the user experience evaluation dimension is described below as an example, that is, the judgment matrix may be as follows:

The specific implementation process of the step S103-12 may be to divide the scale of each evaluation index by the sum of the column where it is located to determine the normalization matrix, specifically as follows:

The sum matrix in the step S103-13 can be as follows:

Evaluation Indicators for User Experience Dimensions	sum by row
number of bugs	1.311
bug fix rate	2.373
Latency	0.273
active users	0.493
Average time spent on new project deployment	0.551

The index basic weight in the step S103-14 can be as follows:

Evaluation Metrics for User Experience	Indicator base weight
number of bugs	0.262
bug fix rate	0.475
Latency	0.055
active users	0.099
Average time spent on new project deployment	0.109

The calculation method of the basic weight of the evaluation index in the user experience dimension is the same as the calculation method of the basic weight of the evaluation index in the above-mentioned user experience dimension.

It should be noted that when the established judgment matrix is constructed for scoring by multiple different scoring parties, then the final index basic weight can be determined by means of the method of calculating the average value for determining the basic weight of the index in step S103-14, for example: according to the scoring method The weight of evaluation index 1 determined by A is 0.6, and the weight of evaluation index 2 is 0.4; the weight of evaluation index 1 is determined to be 0.4 and the weight of evaluation index 2 is 0.6 according to the scoring party B, and the weight determined for A and B is finally taken. Average, that is: the weight of evaluation index 1 is (0.6+0.4)/2=0.5, and the weight of evaluation index 2 is (0.4+0.6)/2=0.5. Therefore, the basic weight of evaluation index 1 is finally determined to be 0.5, The index base weight of evaluation index 2 is 0.5. When there are multiple scoring parties, the mean value can also be used to determine the final index basic weight.

Since the AHP AHP belongs to the existing technology, no detailed description will be given. The above is only a general description of the process of determining the basic weight of the index through the AHP AHP, which can be understood in combination with the content of the AHP analysis method.

In order to avoid subjectivity in the judgment matrix in the process of calculating the evaluation index weight, resulting in inaccurate subsequent weight values, and the feedback data of user feedback can reflect the user's demand for the service provided by the enterprise digital middle platform, so this implementation For example, on the basis of determining the basic weight of indicators above, it may also include:

Step S103-21: Determine the index feedback weight according to the user feedback data for the enterprise digital center;

Step S103-22: Determine the target weight of the indicator according to the feedback weight of the indicator and the basic weight of the indicator;

Step S103-23: Replace the index base weight with the index target weight.

The specific implementation process of the step S103-21 may include:

Steps S103-211: According to the user feedback data set constructed by the enterprise digital center, determine whether the user feedback data set includes target feedback data that meets the adjustment condition; wherein, the adjustment condition is set to meet the adjustment of the evaluation The conditions required for the weight of the indicator;

Step S103-212: when the determination result of the step S103-211 is yes, determine the index feedback weight according to the target feedback data.

The adjustment condition in the steps S103-211 may be a recording requirement adjustment condition, that is: the recording status of the user feedback data meets the recording requirements, and the recording status of the user feedback data may be complete and/or no abnormality The other status is to meet the recording requirements, for example: the time of the feedback data is obviously wrong, the field is missing and other recording status. Therefore, the specific implementation process of the steps S103-211 may include: according to the user feedback data set constructed by the enterprise digital center, determine whether the user feedback data set includes the record status of the user feedback data that satisfies Record the required target feedback data.

In order to reduce the amount of calculation and improve the accuracy of the indicator feedback weight, when the determination of whether the user feedback data set includes the target feedback data whose recording status meets the recording requirements of the user feedback data according to the When the target feedback data is yes, the determination of the indicator feedback weight can be further carried out according to the set quantity requirement adjustment condition, which can specifically include:

It is determined whether the quantity of the target feedback data satisfies the set quantity threshold, if yes, the steps S103-212 are executed. For example: the condition that the quantity threshold is 100, of course, the quantity threshold can be set according to specific business scenarios.

The specific implementation process of the steps S103-212 can also adopt the above-mentioned AHP analytical hierarchy process, including:

Step S103-212-1: Construct the feedback judgment matrix of the evaluation index according to the target feedback data; for example: in the user feedback data, the feedback "bug repair rate" is more important than the "bug number", and the importance level is 3 times, so The above feedback judgment matrix can be as follows:

Step S103-212-2: Determine the index feedback weight of the evaluation index based on the target feedback data according to the feedback judgment matrix; as follows:

The calculation method of the indicator feedback weight is the same as the calculation method of the above-mentioned indicator basic weight, and will not be repeated here.

It should be noted that when the target feedback data for the same evaluation index of the same dimension includes at least two, and each target feedback data is calculated in the same manner as above to obtain at least two index target weights for the same evaluation index, Calculate the mean value of the index target weight, and determine the mean value as the index feedback weight.

In this embodiment, the target weight of the indicator can be determined according to the feedback weight of the indicator and the basic weight of the indicator; it can also be determined according to the mean value of the feedback weight of the indicator and the basic weight of the indicator; specifically, it can be determined through the target feedback data Quantity decision. In this embodiment, the determination of the target weight of the indicator may be determined in combination with the basic weight of the indicator and the feedback weight of the indicator. Specifically, the weighted average of the feedback weight of the indicator and the basic weight of the indicator shall be performed according to the proportion of importance , to determine the target weight of the indicator. The weighted average can be a weighted average of the weight vector, for example: the index basic weight vector of 10 scoring parties is [0.206,0.231,0.268,0.09,0.205], and the user feedback weight vector obtained by 2000 user feedbacks is [0.165 ,0.258,0.321,0.152,0.104], the importance ratio between the scoring party and the user feedback is 100:1, then the index target weight vector is:

([0.206,0.231,0.268,0.09,0.205]×10+[0.165,0.258,0.321,0.152,0.104]×2000/100)/(10+2000/100)=[0.179,0.249,0.303,0.131,0.138 ].

It can be understood that when the recording status of user feedback data meets the recording requirements, determining the target feedback data and then determining the indicator feedback weight is a way that can be realized in this embodiment. On this basis, the adjustment condition can also be further adopted as the quantity requirement The adjustment condition determines the indicator feedback weight, that is, whether the quantity of target feedback data satisfies the set quantity threshold, and if so, the indicator feedback weight is determined according to the target feedback data. There is no contextual limitation on the way of determining the target feedback data of the two adjustment conditions (record requirement adjustment condition and quantity requirement adjustment condition), and any combination or one of them is acceptable. In this embodiment, it may first be determined whether the recording requirement adjustment condition is met, and if yes, determine whether the quantity requirement adjustment condition is met, and if yes, execute the steps S103-212.

It should be noted that, when the adjustment conditions are not met in the steps S103-211, the basic weight of the index can be used as the final weight, and the basic weight of the index does not need to be adjusted.

The above is the description of the index base weight of the evaluation index in step S103 and the adjustment weight of the index base weight when necessary. After the weight of the evaluation index is determined, the score of the evaluation dimension can be determined in combination with the score of the evaluation index as required.

In this embodiment, the calculation of the score of the evaluation dimension may include two methods:

The first is that when calculating the score of the evaluation dimension according to the index basic weight and the score of the evaluation index, it may be based on the score of the first type of evaluation index and the score of the second type of evaluation index, and the index base weights respectively corresponding to the first type of evaluation index and the second type of evaluation index to determine the score of the evaluation dimension.

The second is that when calculating the score of the evaluation dimension according to the new target weight of the index and the score of the evaluation index, it may be based on the score of the first type of evaluation index and the score of the second type of evaluation index , and the index target weights respectively corresponding to the first type of evaluation index and the second type of evaluation index, determine the score of the evaluation dimension.

Which one of the above is used depends on whether the user feedback data is available, that is, when the user feedback data meets the adjustment conditions, the second method is used; otherwise, the first method is used.

In this embodiment, the calculation of the score of the evaluation dimension may adopt the following formula:

Wherein, the S dimension represents the score of the evaluation dimension, and the range of the score can be [0,100]; the S index i represents the score of the i-th evaluation index of the S dimension; βi represents the weight of the S index i, βi>0, The weight can be the index base weight of S index i or the index target weight, that is, when the user feedback data does not meet the adjustment conditions, the evaluation dimension score is calculated through the index base weight, otherwise, the index target weight is used to calculate Evaluation dimension score. In this embodiment, it is possible to determine whether the record requirement adjustment condition is satisfied, and if it is not satisfied, calculate the evaluation dimension score through the base weight of the index; or, determine whether the quantity requirement adjustment condition is satisfied, and if not, use the above Calculate the score of the evaluation dimension based on the index base weight; or, first determine whether the record requirement adjustment condition is satisfied, and if so, then determine whether the record requirement adjustment condition is satisfied, and if not, calculate the score value of the evaluation dimension based on the index base weight.

Step S104: According to the score of the evaluation dimension and the determined dimension basis weight of the evaluation dimension, determine the maturity score of the enterprise digital center;

The purpose of the step S104 is to determine the maturity score of the enterprise digital center. The maturity score needs to be determined according to the score of the assessment dimension determined in step S103 and the dimension basis weight of the assessment dimension. Wherein, the dimension basic weight of the assessment dimension may be determined according to the importance level of the assessment dimension for the maturity state assessment. For example, the basic weight of the dimension is determined according to the scoring party of the evaluation dimension. In this embodiment, the scoring party of the evaluation dimension and the scoring party of the evaluation index may be the same scoring party. The scoring party can assign a value based on the evaluation experience, which is similar to the assignment method in AHP, so I won’t go into details here. The so-called importance level can be determined by the scoring party based on the evaluation experience or according to the business needs of various business platforms supported by the enterprise digital platform. Usually, the sum of the weights of the basic weights of the dimensions corresponding to the various evaluation dimensions is equal to 1 . When the importance levels of the evaluation dimensions are the same, it can be determined that the basic weights of the dimensions of each evaluation dimension are equal, and the sum of the weights is 1. For example: the above-mentioned functional completeness dimension, intelligence level dimension and user experience dimension If the importance level is the same, and the cumulative sum is equal to 1, then the weight of each dimension can be 1/3.

The selection method of the dimension basic weight of the evaluation dimension may be determined according to actual requirements, and is not limited in this embodiment.

In order to avoid inaccurate weights or large deviations caused by the subjective factors of the scoring party, in this embodiment, the basic weights of the dimensions can be adjusted, which can specifically include:

Step S10a: Adjust the basic weight of the dimension according to the user feedback data of the enterprise digital center. In this embodiment, the specific implementation process of the step S10a may include:

Step S10a-11: According to the user feedback data set constructed by the enterprise digital center, determine whether the user feedback data set includes target feedback data that meets the adjustment condition; wherein, the adjustment condition is that the set dimension meets the adjustment Conditions required by the base weight;

Step S10a-12: If yes, adjust the dimensional basic weight according to the target feedback data, and determine the dimensional target weight.

The specific implementation process of the step S10a-1 may include:

Step S10a-11: According to the user feedback data set constructed by the enterprise digital center, determine whether the user feedback data set includes the target feedback data whose recording status of the user feedback data meets the recording requirements. When the step S10a-11 meets the recording requirements, the step S10a-2 can be executed. However, in order to reduce the amount of calculation and improve the accuracy of the target feedback data, it may further include before performing step S10a-2:

Step S10a-2: Determine whether the quantity of the target feedback data satisfies a set quantity threshold;

When the step S10a-2 satisfies the set quantity threshold, the step S10a-2 is executed.

For the step S10a-11 and the step S10a-2, reference may be made to the relevant content of the above-mentioned step S103-211, which will not be repeated here.

In this embodiment, the specific implementation process of the step S10a-12 may include:

Step S10a-12-1: Construct the dimensional objective function of the dimensional objective weights, namely: f(x1, x2, . . . , xn);

In this embodiment, the dimensional objective function may be in the following form:

f(x ₁ , x ₂ ,..., x _n )＝|x ₁ -w ₁ |+|x ₂ -w ₂ |+...+|x _n -w _n |

Among them, w1, w2, ... wn represent the dimension basic weight of each evaluation dimension, and the value range is [0, 1], w1+w2+...+wn=1; x1, x2, ..., xn represent the weight of each evaluation dimension Dimension target weight, the value range is [0, 1], x1+x2+...+xn=1.

Step S10a-12-2: Among the score intervals of the target feedback data that are counted, select the score interval with the highest occurrence frequency of the score interval; the target feedback data can be obtained through statistics of feedback information.

Step S10a-12-3: Determine the middle value of the largest score range as the target feedback value, ie, Starget.

Step S10a-12-4: Determine the dimensional target weight corresponding to the dimensional target function according to the constraint condition of the dimensional target weight established by the evaluation dimension score and the target feedback value;

In this embodiment, the constraints can be in the following form:

Among them, Starget represents the target feedback value; S dimension 1, S dimension 2, ..., S dimension n represents the score of each evaluation dimension, and the value range can be [0, 100]

According to the constraints, when the dimensional objective function is minimized, corresponding x1, x2, . . . , xn are solved, that is, the adjusted dimensional objective weights.

Therefore, the specific implementation process of the step S10a-12-4 may include: determining the weight value corresponding to the minimum value of the dimensional objective function obtained by solving the constraint condition as the dimensional objective weight.

Based on the above content, it can be understood that the step S104 may include two methods when determining the maturity score of the enterprise digital middle station: one is based on the dimension basic weight, and the other is based on the dimension target weight, Which method to choose can be determined according to actual needs. Therefore, after the basic weight of the dimension is adjusted, the specific implementation process of step S104 may be: according to the score of the evaluation dimension and the target weight of the dimension, determine the maturity score of the enterprise digital center .

The maturity score of the enterprise digital middle station described in step S104 can be calculated using the following formula:

S _{Zhongtai Maturity} = S _{Dimension 1} · w ₁ + S _{Dimension 2} · w ₂ +... + S _{Dimension n} · w _n

Wherein, the maturity of the platform in the S indicates the maturity score of the digital platform in the enterprise, and the value range is [0, 100]; the S dimension 1, the S dimension 2, ..., the S dimension n indicate the score of the evaluation dimension , the value range is [0, 100]; the W1, W2, ... Wn represent the weight value of the evaluation dimension, the value range is [0, 1], W1+W2+...+Wn=1, which can be the basic weight of the dimension Can also be a dimension target weight.

Step S105: According to the standard score interval where the maturity score is located in the established maturity state level of the enterprise digital center, determine the grade stage corresponding to the maturity state of the enterprise digital center; wherein, the maturity state represents the The complete state of the operation of the enterprise digital center.

The purpose of the step S105 is to determine the level stage corresponding to the maturity state of the enterprise digital center, that is, which maturity level the enterprise digital center belongs to. Therefore, in this embodiment, it is necessary to construct the score range of the maturity level of the enterprise digital center, so as to determine the maturity stage of the enterprise digital center according to the maturity level of the S center calculated in step S104. Construct the score range of the maturity status level of the enterprise digital center, which may specifically include:

According to the enterprise digital middle platform being able to meet the conditions for the use stage, the standard score range of the maturity status level of the enterprise digital middle platform is constructed. Wherein, the use stage meets the conditions, and it may be the stage of providing business services in the enterprise digital middle station, which may be specifically as follows:

When the maturity of the platform in the S is 75, it falls into the standard score interval [70, 80), and when the maturity of the platform in the S is correspondingly 75, it means that the maturity stage of the platform in the enterprise digital is practice stage.

As shown in Figure 3, in order to facilitate the understanding of the stage of the enterprise digital middle platform maturity, it may also include:

Sending at least one of the relevant maturity information such as the grade stage corresponding to the maturity state of the enterprise digital center, the score range corresponding to the grade stage, and the grade to the display device, or output the enterprise digital center At least one information on the level of maturity corresponding to the maturity status of the user, the score range corresponding to the level, and the level. The display situation of the display device can be as shown in Figure 3, and the relevant information displayed on the display device on the maturity of the digital platform in the enterprise can include: the maturity level of the display maturity, the maturity level of the platform in S, and the relative maturity level At least one or more of the level stage, level description information of the level level, historical maturity information, maturity trend chart, optimization suggestion information provided for the maturity level, and the like. Other information related to maturity may also be displayed in the display device, which will not be listed here.

The above is a specific description of an embodiment of a method for assessing the maturity status of an enterprise digital middle platform provided by this application. Corresponding to the embodiment of a method for evaluating the maturity status of an enterprise digital middle platform provided above, this application also discloses an enterprise Please refer to Fig. 4 for the embodiment of the mature status evaluation device of the digital middle station. Since the device embodiment is basically similar to the method embodiment, the description is relatively simple. For relevant information, please refer to the part of the description of the method embodiment. The device embodiments described below are illustrative only.

As shown in Figure 4, Figure 4 is a schematic structural diagram of an embodiment of a mature state assessment device for an enterprise digital center platform provided by the present application; the embodiment of the evaluation device includes:

The construction unit 401 is configured to construct an evaluation data index system according to the structured data in the enterprise digital center; wherein, the evaluation data index system includes: evaluation dimensions and evaluation indicators corresponding to the evaluation dimensions;

The first determining unit 402 is configured to determine the score of the evaluation index according to the obtained value of the evaluation index and the set target value of the evaluation index;

The second determining unit 403 is configured to determine the score of the evaluation dimension corresponding to the evaluation index according to the score of the evaluation index and the obtained index basic weight of the evaluation index;

The third determining unit 404 is configured to determine the maturity score of the enterprise digital center according to the score of the evaluation dimension and the determined basic weight of the dimension of the evaluation dimension;

The fourth determining unit 405 is configured to determine the level stage corresponding to the maturity state of the enterprise digital center according to the maturity score being within the standard score range of the established enterprise digital center maturity level.

In this embodiment, the first determination unit 402 may include: a division subunit and a determination subunit; the division subunit is configured to divide the evaluation index into first class evaluation index and second class evaluation index; the determining subunit is used to determine the score of the first class evaluation index and the second class evaluation index according to the value of the evaluation index and the target value value.

The second determination unit 403 can be specifically configured to: The corresponding index base weights determine the scores of the evaluation dimensions.

In order to avoid subjective factors causing deviation in maturity assessment and improve the accuracy of maturity assessment, it may also include:

The feedback weight determination unit is configured to determine the index feedback weight according to the user feedback data for the enterprise digital center.

The target weight determining unit is used to determine the target weight of the target according to the feedback weight of the target and the basic weight of the target; specifically, it is used to carry out weighted average of the feedback weight of the target and the basic weight of the target according to the importance degree ratio, and determine the target weight of the target. Target weight of the above indicators.

A replacement unit, configured to replace the basic weight of the index with the target weight of the index in the target weight determination unit.

The feedback weight determination unit may include: a target data determination subunit, configured to determine whether the user feedback data set includes target feedback data that meets adjustment conditions according to the user feedback data set constructed by the enterprise digital center; wherein, The adjustment condition is a set condition that satisfies the requirement for adjusting the weight of the evaluation index; the feedback weight determination unit may specifically be, when the determination result of the target data determination subunit is yes, according to the target feedback data , to determine the indicator feedback weight.

Wherein, the target data determination subunit can be specifically configured to determine whether the user feedback data set includes the target that the recording status of the user feedback data meets the recording requirements according to the user feedback data set constructed by the enterprise digital center feedback data. When the determination result of the target data determination subunit is yes, it also includes: a threshold determination subunit, configured to determine whether the quantity of the target feedback data satisfies the set quantity threshold; if the determination result of the threshold determination subunit If yes, the step of determining the indicator feedback weight according to the target feedback data is performed.

The feedback weight determining unit determines the index feedback weight according to the target feedback data, which may include:

Constructing a subunit for constructing a feedback judgment matrix of the evaluation index according to the target feedback data;

A weight determining subunit, configured to determine the index feedback weight of the evaluation index based on the target feedback data according to the feedback judgment matrix.

In some embodiments, the weight determination subunit may be specifically configured to: when the index feedback weight of the same evaluation index includes at least two weights, determine the mean value of the two weights as the The feedback weight of the above indicators.

Based on the above description of the second determining unit 403, the second determining unit 403 can be specifically configured to determine the evaluation corresponding to the evaluation index according to the score of the evaluation index and the target weight of the index. Dimension score.

In some embodiments, it may further include: a dimension basic weight determining unit, configured to determine the dimension basic weight according to the importance level of the assessment dimension for the maturity state assessment.

In some embodiments, it may further include: a dimension weight adjustment unit, configured to adjust the dimension basic weight according to the user feedback data of the enterprise digital center. The adjustment unit includes: a condition conformity determination subunit and a dimension weight adjustment subunit, the condition conformity determination subunit is used to determine whether the user feedback data set is Including the target feedback data that meets the adjustment condition; wherein, the adjustment condition is a set condition that satisfies the requirement for adjusting the basic weight of the dimension; the dimension weight adjustment subunit is used when the condition meets the determination result of the determination subunit is If so, adjust the basic weight of the dimension according to the feedback data of the goal, and determine the goal weight of the dimension. The condition conformity determining subunit is specifically used to determine whether the user feedback data set includes the target feedback that the recording status of the user feedback data meets the recording requirements according to the user feedback data set constructed by the enterprise digital center data. When the determination result of the condition meets the determination subunit is yes, it may further include: a quantity determination subunit, configured to determine whether the quantity of the target feedback data satisfies the set quantity threshold; the determination of the quantity determination subunit When the result is yes, execute the dimension weight adjustment subunit.

The dimension weight adjustment subunit may include: a function construction subunit, a selection subunit, a value determination subunit and a dimension target weight determination subunit, the function construction subunit is used to construct the dimension target function of the dimension target weight The selection subunit is used to select the score interval with the largest frequency of occurrences of the score interval in the score interval range of the target feedback data that is counted; the value determination subunit is used to set the maximum Determine the middle value of the score interval of the target feedback value as the target feedback value; the dimension target weight determining subunit is used to determine the The dimensional objective weight corresponding to the dimensional objective function. The dimensional target weight determination subunit is specifically configured to determine, as the dimensional target weight, the weight value corresponding to the minimum value of the dimensional target function obtained by solving the constraints.

The third determination unit 404 may be specifically configured to determine the maturity score of the enterprise digital center according to the score of the evaluation dimension and the target weight of the dimension.

The fourth determination unit 405 may further include: a score interval construction unit, configured to construct a standard score interval for the maturity status level of the enterprise digital center according to the enterprise digital center meeting the conditions for use phase.

In some embodiments, may also include:

A sending unit and/or an output unit, the sending unit is used to send the grade stage corresponding to the mature state of the enterprise digital center and/or the score interval corresponding to the grade stage to the display device; the output unit , for outputting the grade stage corresponding to the maturity state of the enterprise digital center and/or the score range corresponding to the grade stage.

The above is a description of an embodiment of a mature state assessment device for an enterprise digital middle station provided by this application. For the specific content of the device embodiment, please refer to the description of steps S101 to S105 in the above method embodiment. Here, the device implements The examples are for general description only.

Based on the above content, the present application also provides an interactive method for evaluating the maturity status of an enterprise digital middle station, as shown in FIG. 5 , the interactive display embodiment includes:

Step S501: receiving an assessment request for the maturity assessment of the enterprise digital middle platform;

Step S502: In response to the evaluation request, according to the maturity score of the enterprise digital center is within the standard score range of the established enterprise digital center maturity level, determine the level corresponding to the enterprise digital center maturity state stage, wherein the mature state represents the complete state of operation of the digital center of the enterprise;

Step S503: Output the grade stage and reference information corresponding to the grade stage, wherein the reference information is information describing the next stage of the grade stage and/or the grade stage corresponds to an index to be adjusted information.

Wherein, the information of the next stage in the reference information of S503 may include the score of the evaluation dimension, the description of the level corresponding to the stage of the maturity level, and the description of the level of the next stage; the information of the indicator to be adjusted may be For the optimization suggestion information of the current maturity level stage, the optimization can be achieved by adjusting the index information. The next stage may be a target stage set by the user or an adjacent next level stage higher than the current maturity level.

This embodiment can also establish an optimization path for the evaluation indicators in the same business scenario according to the optimization suggestion information, so that the same or matching business The evaluation indicators in the scene are adjusted synchronously. In other words, the closed-loop system for optimization and suggestion is constructed so that when evaluating the relevant maturity status based on the synchronously adjusted evaluation indicators, it can reach an ideal state, reduce repeated adjustments, and save computing resources and storage. resource. That is: establishing an optimization path for the evaluation indicator according to the reference information; and performing the same optimization process on the evaluation indicators of the same type in the same type of application scenarios according to the optimization path. For example: For enterprises with the same type of business, such as electronic commodity trading enterprises, in the process of evaluating the relevant maturity of the enterprise digital middle platform of some or all enterprises of this type that use the enterprise digital middle platform, it is found that for this type For enterprises, when assessing the maturity of the enterprise digital middle platform, the evaluation parameters or evaluation indicators involved have certain commonality. The weight value of parameters/indicators also has different sizes. And with the increase in the number of enterprises of this type using the enterprise digital platform, if it is found that the evaluation parameters/indicators for this type of enterprise have changed, such as adding some indicators with a high repetition rate, or the weight value of some indicators change. That is to say, the digital middle station system itself will actively or passively upgrade the system and data.

Since the maturity assessment indicators of the same type of enterprises have the above commonality or changes, when e-commerce enterprise A uses the enterprise digital middle platform system, after evaluating the maturity of enterprise A's enterprise digital middle platform system, according to the evaluation results, it can be Enterprise A pushes evaluation information, which may include updated evaluation information recommended for the same type of enterprise under the same business scenario, evaluation start time, and/or adjustable evaluation index reference information, next evaluation Any kind of information such as the maturity status level of the

It should be noted that common data or public data in the maturity assessment results can be extracted among enterprises of the same type as reference data for the reference of enterprises of the same type. Relevant maturity data such as evaluation indicators and evaluation dimensions involved in companies of the same type will not be revealed without access rights.

In this embodiment, the evaluation request for the maturity evaluation of the enterprise digital middle station can be automatically and regularly triggered by the system, and the output reference information can also be regularly output and displayed, and the next evaluation time can also be provided according to the output results of the current evaluation. Start-up time, you can also propose the start-up time of the next evaluation and the reference range for parameter adjustment in the application scenario based on the output of the current evaluation and the gap between the set maturity prediction value, for example: when the score of XX evaluation index or XX When the score of the evaluation dimension reaches XX value, it meets the requirement of maturity prediction value.

In some embodiments, may also include:

The descriptive information in the form of text and/or in the form of graphs can be used for output display. Therefore, the display of maturity-related information may include at least one or more display forms of graphs, numerical values, and the like.

Based on the above content, the present application also provides an electronic device, as shown in FIG. 6, the embodiment of the electronic device includes:

Processor 601;

The memory 602 is used to store a program for processing data generated by the network platform, and when the program is read and executed by the processor, it executes step S101 in the above-mentioned embodiment of the method for evaluating the maturity status of the enterprise digital center Go to step S105.

Based on the above content, the present application also provides a computer storage medium for storing data generated by the network platform, and a program for processing the data generated by the network platform;

When the program is read and executed by the processor, step S101 to step S105 in the above-mentioned embodiment of the method for evaluating the maturity status of the enterprise digital center are executed.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

Memory may include non-permanent storage in computer readable media, in the form of random access memory (RAM) and/or nonvolatile memory such as read-only memory (ROM) or flash RAM. Memory is an example of computer readable media.

1. Computer-readable media include permanent and non-permanent, removable and non-removable media. Information storage can be realized by any method or technology. Information may be computer readable instructions, data structures, modules of a program, 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 tape cartridge, tape magnetic disk storage or other magnetic storage device or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media excludes non-transitory computer-readable media, such as modulated data signals and carrier waves.

2. Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems or computer program products. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

Although the present application is disclosed as above with preferred embodiments, it is not used to limit the present application. Any person skilled in the art can make possible changes and modifications without departing from the spirit and scope of the present application. Therefore, the present application The scope of protection should be based on the scope defined by the claims of this application.

Claims (24)

1. A method for assessing the maturity status of an enterprise digital center, including:

   An evaluation data index system is constructed according to the structured data in the enterprise digital center; wherein, the evaluation data index system includes: evaluation dimensions and evaluation indicators corresponding to the evaluation dimensions;

   determining the score of the evaluation index according to the obtained value of the evaluation index and the set target value of the evaluation index;

   determining the score of the evaluation dimension corresponding to the evaluation index according to the score of the evaluation index and the obtained index basic weight of the evaluation index;

   Determine the maturity score of the enterprise digital center according to the score of the assessment dimension and the determined dimension basis weight of the assessment dimension;

   According to the standard score interval where the maturity score is located in the mature state level of the established enterprise digital center, determine the level stage corresponding to the maturity state of the enterprise digital center; wherein, the maturity state represents the enterprise digital center The complete state of operation of the platform.
2. The method for assessing the maturity state of an enterprise digital middle station according to claim 1, wherein, the score of the evaluation index is determined according to the obtained value of the evaluation index and the set target value of the evaluation index, include:

   According to the index characteristics of the evaluation index, the evaluation index is divided into at least two types of evaluation indexes, the first type of evaluation index and the second type of evaluation index, and the first type of evaluation index is a very large evaluation index; The second type of evaluation indicators are very small evaluation indicators;

   According to the value of the evaluation index and the target value, the score of the first type of evaluation index and the score of the second type of evaluation index are determined.
3. The method for assessing the maturity state of an enterprise digital middle station according to claim 2, wherein, according to the score of the evaluation index and the obtained index basis weight of the evaluation index, determine the corresponding evaluation index Scores for the above assessment dimensions, including:

   According to the scores of the first type of evaluation indicators and the scores of the second type of evaluation indicators, and the index base weights respectively corresponding to the first type of evaluation indicators and the second type of evaluation indicators, determine the The scores of the above evaluation dimensions.
4. The method for assessing the maturity status of an enterprise digital center according to claim 1 or 3, further comprising:

   Determine the index feedback weight according to the user feedback data for the enterprise digital center;

   determining an indicator target weight according to the indicator feedback weight and the indicator basic weight;

   Replace the indicator base weight with the indicator target weight.
5. The method for assessing the maturity state of an enterprise digital center according to claim 4, wherein said determining index feedback weights according to user feedback data for said enterprise digital center includes:

   According to the user feedback data set constructed by the enterprise digital center, determine whether the user feedback data set includes target feedback data that meets the adjustment condition; wherein, the adjustment condition is set to meet the weight requirements for adjusting the evaluation index condition;

   If so, determine the index feedback weight according to the target feedback data.
6. The method for assessing the maturity state of an enterprise digital center according to claim 5, wherein, according to the user feedback data set constructed by the enterprise digital center, it is determined whether the user feedback data set includes target feedback that meets the adjustment conditions data, including:

   According to the user feedback data set constructed by the enterprise digital center, determine whether the user feedback data set includes the target feedback data that meets the record requirements for the recording status of the user feedback data.
7. The method for assessing the maturity status of an enterprise digital middle station according to claim 6, wherein, when determining whether the user feedback data set includes the target feedback data whose recording status of the user feedback data meets the recording requirements According to the target feedback data, if yes, it also includes:

   determining whether the quantity of the target feedback data satisfies a set quantity threshold;

   If yes, the step of determining the index feedback weight according to the target feedback data is performed.
8. According to the method for assessing the maturity state of an enterprise digital middle station according to claim 5, said determining said index feedback weight according to said target feedback data includes:

   Constructing a feedback judgment matrix of the evaluation index according to the target feedback data;

   The indicator feedback weight of the evaluation indicator based on the target feedback data is determined according to the feedback judgment matrix.
9. The method for assessing the maturity status of an enterprise digital center according to claim 8, further comprising:

   When the index feedback weight of the same evaluation index includes at least two weights, the mean value of the two weights is determined as the index feedback weight.
10. The method for assessing the maturity state of an enterprise digital middle station according to claim 9, wherein said determining an indicator target weight according to said indicator feedback weight and said indicator basic weight includes:

    The index feedback weight and the index basic weight are weighted and averaged according to the importance ratio to determine the index target weight.
11. The method for assessing the maturity state of an enterprise digital middle station according to claim 4, wherein, according to the score of the evaluation index and the obtained index basis weight of the evaluation index, determine the corresponding evaluation index Scores for the above assessment dimensions, including:

    The score of the evaluation dimension corresponding to the evaluation index is determined according to the score of the evaluation index and the target weight of the index.
12. The method for assessing the maturity status of an enterprise digital center according to claim 1, further comprising:

    Adjust the basic weight of the dimension according to the user feedback data of the enterprise digital center.
13. The method for evaluating the maturity status of an enterprise digital center according to claim 12, wherein said adjusting the basic weight of the dimension according to the user feedback data for said enterprise digital center includes:

    According to the user feedback data set constructed by the enterprise digital center, determine whether the user feedback data set includes target feedback data that meets the adjustment condition; wherein, the adjustment condition is the set condition that meets the requirement for adjusting the basic weight of the dimension ;

    If so, according to the target feedback data, adjust the basic weight of the dimension to determine the target weight of the dimension.
14. The method for assessing the maturity state of an enterprise digital center according to claim 13, wherein, according to the user feedback data set constructed by the enterprise digital center, it is determined whether the user feedback data set includes target feedback that satisfies adjustment conditions data, including:

    According to the user feedback data set constructed by the enterprise digital center, it is determined whether the user feedback data set includes the target feedback data whose recording status of the user feedback data meets the recording requirements.
15. The method for assessing the maturity state of an enterprise digital middle station according to claim 13, wherein when determining whether the user feedback data set includes the target feedback data whose recording status of the user feedback data meets the recording requirements According to the target feedback data, if yes, it also includes:

    determining whether the quantity of the target feedback data satisfies a set quantity threshold;

    If so, perform the step of adjusting the dimensional basic weights according to the target feedback data to determine the dimensional target weights.
16. The method for assessing the maturity state of an enterprise digital middle station according to claim 13, wherein said adjusting the basic weight of the dimension according to the target feedback data to determine the target weight of the dimension comprises:

    constructing a dimensional objective function of the dimensional objective weight;

    In the score interval range of the target feedback data that is counted, select the score interval with the largest frequency of occurrence of the score interval;

    determining the middle value of the largest score interval as the target feedback value;

    The dimensional target weight corresponding to the dimensional target function is determined according to the constraint condition of the dimensional target weight established by the score of the evaluation dimension and the target feedback value.
17. The method for assessing the maturity state of an enterprise digital center according to claim 16, wherein, the dimension is determined according to the constraint condition of the dimension target weight established according to the score of the assessment dimension and the target feedback value The dimension target weight corresponding to the target function includes:

    The weight value corresponding to the minimum value of the dimensional objective function obtained by solving the constraint condition is determined as the dimensional objective weight.
18. The method for assessing the maturity status of the enterprise digital middle platform according to claim 13, wherein the maturity of the enterprise digital middle platform is determined according to the score of the evaluation dimension and the determined dimension basis weight of the evaluation dimension Degree points, including:

    According to the scores of the assessment dimensions and the target weights of the dimensions, the maturity scores of the enterprise digital center are determined.
19. The method for assessing the maturity state of an enterprise digital center according to claim 1, wherein, according to said maturity score being located in the standard score interval of the established enterprise digital center maturity level, determining said enterprise digital center The grade stage corresponding to the maturity status of the platform also includes:

    According to the enterprise digital middle platform being able to meet the conditions for the use stage, the standard score range of the maturity status level of the enterprise digital middle platform is constructed.
20. The method for assessing the maturity status of an enterprise digital center according to claim 1, further comprising:

    Send the grade stage corresponding to the maturity state of the enterprise digital center and/or the score interval corresponding to the grade stage to the display device, or output the grade stage and/or corresponding to the maturity state of the enterprise digital center The score interval corresponding to the level stage.
21. An interactive method for assessing the maturity state of an enterprise digital center, including:

    Receive an assessment request for a maturity assessment of the enterprise digital middle office;

    In response to the evaluation request, according to the maturity score of the enterprise digital middle station is within the standard score range of the constructed enterprise digital middle station maturity state level, the grade stage corresponding to the enterprise digital middle station maturity state is determined, wherein , the mature state represents the complete state of operation of the digital center of the enterprise;

    Outputting the grade stage and reference information corresponding to the grade stage, wherein the reference information is information describing a next stage of the grade stage and/or the grade stage corresponds to index information to be adjusted.
22. The interactive method for assessing the maturity state of an enterprise digital center according to claim 21, further comprising:

    establishing an optimization path for the evaluation index according to the reference information;

    According to the optimization path, the same optimization process is performed on the same type of evaluation indicators in the same type of application scenarios.
23. A computer storage medium, used for storing data generated by the network platform, and a program for processing the data generated by the network platform;

    When the program is read and executed by the processor, it executes the method for assessing the maturity status of the digital center of an enterprise as described in any one of claims 1-20 above; or, executes the enterprise as described in claim 21 or 22 above An interactive approach to the maturity status of the digital middle office.
24. An electronic device comprising:

    processor;

    The memory is used to store the program for processing the data generated by the network platform, and when the program is read and executed by the processor, it executes the mature state of the enterprise digital middle station as described in any one of the above claims 1-20 An evaluation method; or, an interactive method for performing the maturity state of an enterprise digital center as described in claim 21 or 22 above.

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