Internet-based enterprise management information technology consulting management method and system

Abstract

The present invention relates to the technical field of information technology consulting management, and provides an enterprise management information technology consulting management method and system based on the Internet, comprising: The present invention provides an enterprise management information technology consulting management method and system based on the Internet, which is characterized by comprising: obtaining enterprise management information technology consulting needs based on the Internet, obtaining target data, and constructing an information consulting database according to the target data for data management; constructing an enterprise information game model based on the information consulting database, and obtaining game results through the enterprise information game model; selecting game indicators based on the game results, and performing management evaluation according to the game indicators through a pre-established GRNN neural network management evaluation model to obtain evaluation results; managing the enterprise's information consulting through a decision tree algorithm according to the evaluation results and the game results, providing users with effective information resources, and accelerating the development of the enterprise and improving profitability.

Description

Technical Field

[0001] The present invention relates to the field of information technology consulting management, and in particular to an enterprise management information technology consulting management method and system based on the Internet. Background Art

[0002] At present, information consulting service is a new thing, which is in the process of rapid rise and high-speed growth. Although its theoretical research is constantly expanding and practical development is constantly deepening, it is still in its infancy as a whole. The problems existing in the construction of information consulting agencies are mainly due to the fact that most information consulting agencies have failed to grasp the specific information needs of current enterprises, and thus are unable to provide effective information resources, resulting in a mismatch between supply and demand.

[0003] At the same time, the fierce market environment has increasingly exposed the disadvantages of enterprise information consulting management. Many enterprises have problems such as inefficient management and backward means of information acquisition, which makes the information needs not be guaranteed, seriously affecting the decision-making and development of enterprises, thus leading to a slowdown in enterprise development and a decline in profitability. Therefore, effective information technology consulting management methods are urgently needed in the current market. Summary of the invention

[0004] The present invention aims at the technical problems existing in the prior art and provides an enterprise management information technology consulting management method based on the Internet, comprising:

[0005] Obtain enterprise management information technology consulting needs based on the Internet, obtain target data, and build an information consulting database for data management based on the target data;

[0006] Based on the information consultation database, an enterprise information game model is constructed, and a game result is obtained through the enterprise information game model;

[0007] Based on the game results, game indicators are selected, and management evaluation is performed according to the game indicators through a pre-established GRNN neural network management evaluation model to obtain an evaluation result;

[0008] According to the evaluation results and the game results, the information consultation of the enterprise is managed through the decision tree algorithm.

[0009] Preferably, the obtaining of enterprise management information technology consulting needs based on the Internet and building an information consulting database for data management based on the enterprise management information technology consulting needs include:

[0010] Obtain enterprise management information technology consulting needs based on the Internet, and extract project-related information based on the enterprise management information technology consulting needs to obtain target data;

[0011] The enterprise management information technology consulting needs include: comprehensive information needs and professional information needs;

[0012] The comprehensive information needs include: enterprise competitive intelligence information, enterprise management information, application system development, management information and comprehensive information;

[0013] The professional information needs include: market information, macroeconomic information, scientific and technological information, financing information and policy and regulatory information;

[0014] Constructing a basic table and a virtual table based on the target data, combining the data in the virtual table in a preset manner to obtain a new logical table, and constructing an information consultation database according to the logical table;

[0015] Wherein, the virtual table is established on the basic table;

[0016] In the information consultation database, unique coding is performed according to the user identity to determine the coding number, and the target data is identified and integrated according to the coding number to obtain a data resource integration directory;

[0017] Based on the data resource integration catalog, data management is performed through the AIGOV five-star model;

[0018] Among them, the AIGOV five-star model is built based on data architecture strategy, data resource governance, data resource integration and sharing, data resource operation management and data resource value-added application strategy.

[0019] Preferably, constructing an enterprise information management game model based on the information consultation database, and obtaining a game result through the enterprise information management game model includes:

[0020] Based on the information consulting database, construct an enterprise financial management payment function according to the target data in the information consulting database and the enterprise operating costs, calculate the financial management consulting value according to the enterprise financial management payment function, market operation costs and financial consulting costs, and construct a primary market game model according to the financial management consulting value;

[0021] Constructing a comprehensive management investment function based on the target data, the enterprise operation target consulting cost and the enterprise operation investment cost, calculating the comprehensive management consulting value based on the comprehensive management investment function and the enterprise organizational structure cost, and constructing a secondary market game model based on the comprehensive management consulting value;

[0022] According to the target data and personnel management costs, taking personnel labor consultation as the optimal goal, constructing a personnel management expectation function, and constructing a three-level market game model according to the personnel management expectation function;

[0023] Determine the inverse demand function of enterprise information technology consulting management based on the target data, enterprise technology consulting development costs and network maintenance costs;

[0024] According to the inverse demand function and the probability of user information technology consultation, the enterprise information consultation profit function is obtained, and a four-level market game model is constructed based on the enterprise profit function;

[0025] Constructing an enterprise information management game model according to the primary market game model, the secondary market game model, the tertiary market game model, and the quaternary market game model, and obtaining a game result according to the enterprise information management game model;

[0026] Among them, the game results include: dilemma results, favorable results, and equilibrium results.

[0027] Preferably, the financial management consulting value calculation formula is as follows:

[0028] in,

[0029] in,

[0030] In the formula, Indicates the value of financial management consulting; Represents the payment function of enterprise financial management; Indicates the total number of users' information technology consulting needs; Indicates the number of users' information technology consulting needs, ; represents the value factor; represents the cost of market operation; represents the cost of financial consulting; Indicates The payment value corresponding to the information technology consulting needs of each user; represents the market consultation probability; Indicates the type of market information consultation; Indicates the market consulting value fluctuation parameter; Indicates the consulting reserve price; Indicates the valuation of financial management consumption; Indicates the bid data of rival enterprises; Indicates the number of consulting transactions; Indicates The enterprise operating costs corresponding to the information technology consulting needs of each user; Indicates cost.

[0031] Preferably, the enterprise information consulting profit function includes:

[0032]

[0033] in,

[0034] In the formula, represents the profit function of enterprise information consulting; represents the probability of user information technology consultation; represents the inverse demand function; represents the equilibrium amount of information technology consulting; Indicates the total number of users' information technology consulting needs; Indicates the number of users' information technology consulting needs; Indicates The enterprise technology consulting development cost corresponding to the information technology consulting needs of each user; Indicates Network maintenance costs corresponding to each user's information technology consulting needs; Indicates the proportion of Internet technology; The equilibrium solution representing the probability of user information technology consultation; Demand parameters representing information technology demand consultation in target data; Indicates the frequency of management and regulation of enterprise information technology consulting.

[0035] Preferably, based on the game result, game indicators are selected, and management evaluation is performed according to the game indicators through a pre-established GRNN neural network management evaluation model to obtain an evaluation result, including:

[0036] Based on the game results, game indicators are selected, and indicator calculation is performed according to the game indicators to obtain game indicator values ​​of each game indicator. The game indicator values ​​are input into a pre-established GRNN neural network management evaluation model for management evaluation to obtain the actual enterprise management value, and the actual enterprise management value is used as the evaluation result.

[0037] Preferably, the steps of constructing and testing the GRNN neural network management evaluation model are as follows:

[0038] R1: Determine the enterprise information technology consulting indicators according to the target data, and obtain the enterprise information technology consulting management evaluation indicators based on the enterprise information technology consulting indicators through correlation test screening;

[0039] R2: Determine an evaluation index vector according to the enterprise information technology consulting management evaluation index, and divide the evaluation index vector into different index matrices according to preset dimensions;

[0040] R3: Normalize the data in the index matrix to obtain standard data, and input the standard data into the input layer of the GRNN neural network;

[0041] R4: Divide the pre-acquired target sample data into a training set and a test set, perform weighted sum calculation on the training set in the summation layer of the GRNN neural network, obtain the predicted enterprise management value, and output the predicted enterprise management value through the output layer;

[0042] R5: Input the test set into the input layer of the GRNN neural network, and perform weighted sum calculation on the data in the test set in the summation layer of the GRNN neural network to obtain the actual enterprise management value;

[0043] R6: The predicted enterprise management value and the actual enterprise management value are subtracted to obtain a real management error value. When the absolute value of the real management error value is less than a preset threshold, the inspection result is displayed as qualified, otherwise the inspection result is displayed as unqualified.

[0044] Preferably, the standard data calculation formula is as follows:

[0045]

[0046] In the formula, Indicates standard data; Represents the total number of rows and columns of the index matrix; Indicates the index matrix Line The index data of the column; Indicates the number of columns of the index matrix; represents the row vector of evaluation indicators; Represents the mean of the row vector of evaluation indicators; represents the evaluation index column vector; Represents the mean of the evaluation index column vector; represents the mean parameter; Represents the error factor.

[0047] Preferably, the managing the information consultation of the enterprise by using a decision tree algorithm according to the evaluation results and the game results includes:

[0048] Step S1: Determine the classification attributes of enterprise information technology consulting management according to the evaluation results and the game results;

[0049] Step S2: determining a decision tree training set according to the classification attributes, and calculating the information gain rate of enterprise information technology consulting management for each classification attribute;

[0050] Step S3: sorting the information gain rates in descending order, selecting the classification attribute with the maximum information gain rate as the root node of the decision tree, and dividing the corresponding data set according to the attribute value of the maximum information gain rate;

[0051] Step S4: Determine whether the data set can be further divided. If the data set can be further divided, return to step S2; otherwise, generate a decision tree.

[0052] Step S5: Input the evaluation results into the decision tree to manage the enterprise information technology consultation and obtain the decision results.

[0053] Based on the same inventive concept, the present invention also provides an Internet-based enterprise management information technology consulting and management system, which is characterized by comprising:

[0054] A database construction module is used to obtain enterprise management information technology consulting needs based on the Internet, obtain target data, and construct an information consulting database for data management based on the target data;

[0055] A game result acquisition module, used to construct an enterprise information game model based on the information consultation database, and obtain the game result through the enterprise information game model;

[0056] A management evaluation module is used to select a game indicator based on the game result, and perform management evaluation according to the game indicator through a pre-established GRNN neural network management evaluation model to obtain an evaluation result;

[0057] The consultation management module is used to manage the information consultation of the enterprise through a decision tree algorithm according to the evaluation results and the game results.

[0058] Preferably, the database construction module is specifically used for:

[0059] Obtain enterprise management information technology consulting needs based on the Internet, and extract project-related information based on the enterprise management information technology consulting needs to obtain target data;

[0060] The enterprise management information technology consulting needs include: comprehensive information needs and professional information needs;

[0061] The comprehensive information needs include: enterprise competitive intelligence information, enterprise management information, application system development, management information and comprehensive information;

[0062] The professional information needs include: market information, macroeconomic information, scientific and technological information, financing information and policy and regulatory information;

[0063] Constructing a basic table and a virtual table based on the target data, combining the data in the virtual table in a preset manner to obtain a new logical table, and constructing an information consultation database according to the logical table;

[0064] Wherein, the virtual table is established on the basic table;

[0065] In the information consultation database, unique coding is performed according to the user identity to determine the coding number, and the target data is identified and integrated according to the coding number to obtain a data resource integration directory;

[0066] Based on the data resource integration catalog, data management is performed through the AIGOV five-star model;

[0067] Among them, the AIGOV five-star model is built based on data architecture strategy, data resource governance, data resource integration and sharing, data resource operation management and data resource value-added application strategy.

[0068] Preferably, the game result acquisition module is specifically used for:

[0069] Based on the information consulting database, construct an enterprise financial management payment function according to the target data in the information consulting database and the enterprise operating costs, calculate the financial management consulting value according to the enterprise financial management payment function, market operation costs and financial consulting costs, and construct a primary market game model according to the financial management consulting value;

[0070] According to the target data, the enterprise operation target consulting cost and the enterprise operation investment cost, a comprehensive management investment function is constructed; according to the comprehensive management investment function and the enterprise organizational structure cost, the comprehensive management consulting value is calculated; and according to the comprehensive management consulting value, a secondary market game model is constructed;

[0071] According to the target data and personnel management costs, taking personnel labor consultation as the optimal goal, constructing a personnel management expectation function, and constructing a three-level market game model according to the personnel management expectation function;

[0072] Determine the inverse demand function of enterprise information technology consulting management based on the target data, enterprise technology consulting development costs and network maintenance costs;

[0073] According to the inverse demand function and the probability of user information technology consultation, the enterprise information consultation profit function is obtained, and a four-level market game model is constructed based on the enterprise profit function;

[0074] Constructing an enterprise information management game model according to the primary market game model, the secondary market game model, the tertiary market game model, and the quaternary market game model, and obtaining a game result according to the enterprise information management game model;

[0075] Among them, the game results include: dilemma results, favorable results, and equilibrium results.

[0076] Preferably, the calculation formula of the financial management consulting value in the game result acquisition module is as follows:

[0077] in,

[0078] in,

[0079] In the formula, Indicates the value of financial management consulting; Represents the payment function of enterprise financial management; Indicates the total number of users' information technology consulting needs; Indicates the number of users' information technology consulting needs, ; represents the value factor; represents the cost of market operation; represents the cost of financial consulting; Indicates The payment value corresponding to the information technology consulting needs of each user; represents the market consultation probability; Indicates the type of market information consultation; Indicates the market consulting value fluctuation parameter; Indicates the consulting reserve price; Indicates the valuation of financial management consumption; Indicates the bid data of rival enterprises; Indicates the number of consulting transactions; Indicates The enterprise operating costs corresponding to the information technology consulting needs of each user; Indicates cost.

[0080] Preferably, the enterprise information consulting profit function in the game result acquisition module includes:

[0081]

[0082] in,

[0083] In the formula, represents the profit function of enterprise information consulting; represents the probability of user information technology consultation; represents the inverse demand function; represents the equilibrium amount of information technology consulting; Indicates the total number of users' information technology consulting needs; Indicates the number of users' information technology consulting needs; Indicates The enterprise technology consulting development cost corresponding to the information technology consulting needs of each user; Indicates Network maintenance costs corresponding to each user's information technology consulting needs; Indicates the proportion of Internet technology; The equilibrium solution representing the probability of user information technology consultation; Demand parameters representing information technology demand consultation in target data; Indicates the frequency of management and regulation of enterprise information technology consulting.

[0084] Preferably, the management assessment module is specifically used for:

[0085] Based on the game results, game indicators are selected, and indicator calculation is performed according to the game indicators to obtain game indicator values ​​of each game indicator. The game indicator values ​​are input into a pre-established GRNN neural network management evaluation model for management evaluation to obtain the actual enterprise management value, and the actual enterprise management value is used as the evaluation result.

[0086] Preferably, the steps of constructing and verifying the GRNN neural network management evaluation model in the management evaluation module are as follows:

[0087] R1: Determine the enterprise information technology consulting indicators according to the target data, and obtain the enterprise information technology consulting management evaluation indicators based on the enterprise information technology consulting indicators through correlation test screening;

[0088] R2: Determine an evaluation index vector according to the enterprise information technology consulting management evaluation index, and divide the evaluation index vector into different index matrices according to preset dimensions;

[0089] R3: Normalize the data in the index matrix to obtain standard data, and input the standard data into the input layer of the GRNN neural network;

[0090] R4: Divide the pre-acquired target sample data into a training set and a test set, perform weighted sum calculation on the training set in the summation layer of the GRNN neural network, obtain the predicted enterprise management value, and output the predicted enterprise management value through the output layer;

[0091] R5: Input the test set into the input layer of the GRNN neural network, and perform weighted sum calculation on the data in the test set in the summation layer of the GRNN neural network to obtain the actual enterprise management value;

[0092] R6: The predicted enterprise management value and the actual enterprise management value are subtracted to obtain a real management error value. When the absolute value of the real management error value is less than a preset threshold, the inspection result is displayed as qualified, otherwise the inspection result is displayed as unqualified.

[0093] Preferably, the standard data calculation formula in the management evaluation module is as follows:

[0094]

[0095] In the formula, Indicates standard data; Represents the total number of rows and columns of the index matrix; Indicates the index matrix Line The index data of the column; Indicates the number of columns of the index matrix; represents the row vector of evaluation indicators; Represents the mean of the row vector of evaluation indicators; represents the evaluation index column vector; Represents the mean of the evaluation index column vector; represents the mean parameter; Represents the error factor.

[0096] Preferably, the consultation management module is specifically used for:

[0097] Step S1: Determine the classification attributes of enterprise information technology consulting management according to the evaluation results and the game results;

[0098] Step S2: determining a decision tree training set according to the classification attributes, and calculating the information gain rate of enterprise information technology consulting management for each classification attribute;

[0099] Step S3: sorting the information gain rates in descending order, selecting the classification attribute with the maximum information gain rate as the root node of the decision tree, and dividing the corresponding data set according to the attribute value of the maximum information gain rate;

[0100] Step S4: Determine whether the data set can be further divided. If the data set can be further divided, return to step S2; otherwise, generate a decision tree.

[0101] Step S5: Input the evaluation results into the decision tree to manage the enterprise information technology consultation and obtain the decision results.

[0102] The beneficial effects of the present invention are: 1. The present invention provides an Internet-based enterprise management information technology consulting management method and system, which is characterized by including: obtaining enterprise management information technology consulting needs based on the Internet, obtaining target data, and constructing an information consulting database for data management based on the target data; constructing an enterprise information game model based on the information consulting database, and obtaining game results through the enterprise information game model; based on the game results, selecting game indicators, and performing management evaluation based on the game indicators through a pre-established GRNN neural network management evaluation model to obtain evaluation results; managing the enterprise's information consultation through a decision tree algorithm based on the evaluation results and the game results, providing users with effective information resources, making enterprise management more efficient, thereby accelerating the development of the enterprise and improving profitability.

[0103] 2. In the present invention, database technology can be used to achieve rapid retrieval, efficient storage, secure transmission and high-reliability management of data, helping enterprises and organizations to better manage and utilize data resources;

[0104] 3. The present invention can consider the needs of enterprise information technology consulting from multiple aspects through the enterprise information management game model, so as to analyze and calculate according to different needs, find out what game results the current information consulting is in, and provide information decision-making directions to users or enterprises themselves, thereby increasing the benefits of users or enterprises;

[0105] 4. By evaluating the information technology consulting management capabilities of enterprises through the GRNN neural network management evaluation model, we can accurately predict the management value of the enterprise, ensure strong support for subsequent management decisions, and find a local optimal solution through the decision tree algorithm to further help the enterprise manage information technology consulting. BRIEF DESCRIPTION OF THE DRAWINGS

[0106] Figure 1 The present invention provides a flow chart of an enterprise management information technology consulting management method based on the Internet;

[0107] Figure 2 The present invention is a schematic diagram of the connection modules of an Internet-based enterprise management information technology consulting and management system. DETAILED DESCRIPTION

[0108] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0109] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "plurality" means two or more, unless otherwise clearly and specifically defined.

[0110] In the description of the present application, the term "for example" is used to mean "used as an example, illustration or description". Any embodiment described as "for example" in the present application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid unnecessary details to obscure the description of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present application.

[0111] Embodiment 1:

[0112] The present invention provides a flowchart of an Internet-based enterprise management information technology consulting management method as shown in the following figure: Figure 1 As shown, including:

[0113] Step 1: Obtain enterprise management information technology consulting needs based on the Internet, obtain target data, and build an information consulting database for data management based on the target data;

[0114] Step 2: Based on the information consultation database, construct an enterprise information game model, and obtain the game result through the enterprise information game model;

[0115] Step 3: Based on the game results, game indicators are selected, and management evaluation is performed according to the game indicators through a pre-established GRNN neural network management evaluation model to obtain evaluation results;

[0116] Step 4: Manage the enterprise's information consultation through a decision tree algorithm based on the evaluation results and the game results.

[0117] Specifically, the step 1 includes:

[0118] Obtain enterprise management information technology consulting needs based on the Internet, and extract project-related information based on the enterprise management information technology consulting needs to obtain target data;

[0119] The enterprise management information technology consulting needs include: comprehensive information needs and professional information needs;

[0120] The comprehensive information needs include: enterprise competitive intelligence information, enterprise management information, application system development, management information and comprehensive information;

[0121] The professional information needs include: market information, macroeconomic information, scientific and technological information, financing information and policy and regulatory information;

[0122] Constructing a basic table and a virtual table based on the target data, combining the data in the virtual table in a preset manner to obtain a new logical table, and constructing an information consultation database according to the logical table;

[0123] Wherein, the virtual table is established on the basic table;

[0124] Among them, the data in multiple basic tables can be combined into a new logical table, so that users can access and query data more conveniently;

[0125] The functions of the information consulting database include solving problems in data storage, data management, data query, data analysis, data security, etc.;

[0126] Database technology can achieve rapid retrieval, efficient storage, secure transmission and high-reliability management of data, helping enterprises and organizations better manage and utilize data resources;

[0127] The application of database technology has the following beneficial effects: improving production efficiency, reducing costs, improving data reliability, and strengthening data security;

[0128] Through database technology, large amounts of data can be effectively managed, data availability and reliability can be improved, production efficiency and management efficiency can be improved, and better business value and competitiveness can be brought to enterprises and organizations;

[0129] In the information consultation database, unique coding is performed according to the user identity to determine the coding number, and the target data is identified and integrated according to the coding number to obtain a data resource integration directory;

[0130] Based on the data resource integration catalog, data management is performed through the AIGOV five-star model;

[0131] Among them, the AIGOV five-star model is built based on data architecture strategy, data resource governance, data resource integration and sharing, data resource operation management and data resource value-added application strategy;

[0132] Specifically, the step 2 includes:

[0133] Based on the information consulting database, construct an enterprise financial management payment function according to the target data in the information consulting database and the enterprise operating costs, calculate the financial management consulting value according to the enterprise financial management payment function, market operation costs and financial consulting costs, and construct a primary market game model according to the financial management consulting value;

[0134] The calculation formula of the financial management consulting value is as follows:

[0135]

[0136] in,

[0137] In the formula, Indicates the value of financial management consulting; Represents the enterprise financial management payment function; Indicates the total number of users' information technology consulting needs; Indicates the number of users' information technology consulting needs, ; represents the value factor; represents the cost of market operation; represents the cost of financial consulting; Indicates The payment value corresponding to the information technology consulting needs of each user; represents the market consultation probability; Indicates the type of market information consultation; Indicates the market consulting value fluctuation parameter; Indicates the consulting reserve price; Indicates the valuation of financial management consumption; Indicates the bid data of rival enterprises; Indicates the number of consulting transactions; Indicates The enterprise operating costs corresponding to the information technology consulting needs of each user; Indicates cost.

[0138] According to the target data, the enterprise operation target consulting cost and the enterprise operation investment cost, a comprehensive management investment function is constructed; according to the comprehensive management investment function and the enterprise organizational structure cost, the comprehensive management consulting value is calculated; and according to the comprehensive management consulting value, a secondary market game model is constructed;

[0139] The calculation formula of the comprehensive management consulting value is as follows:

[0140]

[0141] in,

[0142] In the formula, Indicates the value of comprehensive management consulting; represents the comprehensive management investment function; Indicates the total number of users' information technology consulting needs; Indicates the number of users' information technology consulting needs, ; represents the value factor; It represents the cost of the enterprise organizational structure; Indicates The management value corresponding to the information technology consulting needs of each user; It indicates the consulting cost of the enterprise's business objectives; It represents the investment cost of enterprise operation; represents the comprehensive management effectiveness parameter; It represents the management input ratio of information technology consulting; Indicates cost.

[0143] According to the target data and personnel management costs, taking personnel labor consultation as the optimal goal, constructing a personnel management expectation function, and constructing a three-level market game model according to the personnel management expectation function;

[0144] The personnel management expected function expression is as follows:

[0145]

[0146] In the formula, represents the expected function of personnel management; Indicates the number of personnel in the enterprise; represents the optimization parameters; Indicates The personnel management costs generated by the personnel of each enterprise; Indicates The personnel and labor consultation value generated by the personnel of an enterprise;

[0147] Determine the inverse demand function of enterprise information technology consulting management based on the target data, enterprise technology consulting development costs and network maintenance costs;

[0148] According to the inverse demand function and the probability of user information technology consultation, the enterprise information consultation profit function is obtained, and a four-level market game model is constructed based on the enterprise profit function;

[0149] Constructing an enterprise information management game model according to the primary market game model, the secondary market game model, the tertiary market game model, and the quaternary market game model, and obtaining a game result according to the enterprise information management game model;

[0150] Among them, the game results include: dilemma results, favorable results, and equilibrium results.

[0151] The enterprise information consulting profit function includes:

[0152]

[0153] in,

[0154] In the formula, represents the profit function of enterprise information consulting; represents the probability of user information technology consultation; represents the inverse demand function; represents the equilibrium amount of information technology consulting; Indicates the total number of users' information technology consulting needs; Indicates the number of users' information technology consulting needs; Indicates The enterprise technology consulting development cost corresponding to the information technology consulting needs of each user; Indicates Network maintenance costs corresponding to each user's information technology consulting needs; Indicates the proportion of Internet technology; The equilibrium solution representing the probability of user information technology consultation; Demand parameters representing information technology demand consultation in target data; Indicates the frequency of management and regulation of enterprise information technology consulting.

[0155] Specifically, the step 3 includes:

[0156] Based on the game result, a game indicator is selected, and the game indicator value of each game indicator is obtained by performing indicator calculation according to the game indicator;

[0157] The gaming index value is input into a pre-established GRNN neural network management evaluation model to perform management evaluation, obtain the actual enterprise management value, and use the actual enterprise management value as the evaluation result.

[0158] The GRNN (generalized regression neural network) neural network management evaluation model of the present invention includes: an input layer, a summation layer and an output layer;

[0159] The evaluation of the game results by the GRNN neural network method will be more accurate. At the same time, the data collected by this method are all disclosed in the open market, and there is no need to subjectively determine the relevant parameters, which improves the objectivity of the evaluation results.

[0160] The construction and verification steps of the GRNN neural network management evaluation model are as follows:

[0161] R1: Determine the enterprise information technology consulting indicators according to the target data, and obtain the enterprise information technology consulting management evaluation indicators based on the enterprise information technology consulting indicators through correlation test screening;

[0162] Among them, the enterprise information technology consulting management evaluation indicators include: consulting profit indicators, financial operation capability indicators, market operation capability indicators, human capital capability indicators, risk resistance capability indicators, and consulting update capability indicators;

[0163] R2: Determine an evaluation index vector according to the enterprise information technology consulting management evaluation index, and divide the evaluation index vector into different index matrices according to preset dimensions;

[0164] R3: Normalize the data in the index matrix to obtain standard data, and input the standard data into the input layer of the GRNN neural network;

[0165] R4: Divide the pre-acquired target sample data into a training set and a test set, perform weighted sum calculation on the training set in the summation layer of the GRNN neural network, obtain the predicted enterprise management value, and output the predicted enterprise management value through the output layer;

[0166] R5: Input the test set into the input layer of the GRNN neural network, and perform weighted sum calculation on the data in the test set in the summation layer of the GRNN neural network to obtain the actual enterprise management value;

[0167] R6: The predicted enterprise management value and the actual enterprise management value are subtracted to obtain a real management error value. When the absolute value of the real management error value is less than a preset threshold, the inspection result is displayed as qualified, otherwise the inspection result is displayed as unqualified.

[0168] The standard data calculation formula is as follows:

[0169]

[0170] In the formula, Indicates standard data; Represents the total number of rows and columns of the index matrix; Indicates the index matrix Line The index data of the column; Indicates the number of columns of the index matrix; represents the row vector of evaluation indicators; Represents the mean of the row vector of evaluation indicators; represents the evaluation index column vector; Represents the mean of the evaluation index column vector; represents the mean parameter; Represents the error factor.

[0171] Specifically, the step 4 includes:

[0172] Step S1: Determine the classification attributes of enterprise information technology consulting management according to the evaluation results and the game results;

[0173] Among them, each path from the top root node to the bottom leaf node in the generated decision tree is a classification rule;

[0174] Moreover, the decision tree algorithm adopted by the present invention can help information technology consulting companies improve service efficiency and business level, and according to the classification rules generated by the decision tree algorithm, information technology consulting companies can format and process their business, thereby improving the efficiency and quality of consulting services;

[0175] Step S2: determining a decision tree training set according to the classification attributes, and calculating the information gain rate of enterprise information technology consulting management for each classification attribute;

[0176] Step S3: sorting the information gain rates in descending order, selecting the classification attribute with the maximum information gain rate as the root node of the decision tree, and dividing the corresponding data set according to the attribute value of the maximum information gain rate;

[0177] Step S4: Determine whether the data set can be further divided. If the data set can be further divided, return to step S2; otherwise, generate a decision tree.

[0178] Step S5: Input the evaluation results into the decision tree to manage the enterprise information technology consultation and obtain the decision results.

[0179] Among them, the decision tree algorithm does not seek to find the overall optimal solution when solving, but to find a local optimal solution. The decision tree algorithm is a greedy algorithm. The decision tree algorithm uses a certain method to classify and summarize a large amount of disorderly and complex data, so as to obtain a tree-shaped classification rule;

[0180] The advantage of the decision tree algorithm in the present invention is that data analysts do not need to have a very rich knowledge background when using decision trees, and can use this algorithm to analyze data very well.

[0181] Embodiment 2:

[0182] The present invention provides a module connection diagram of an enterprise management information technology consulting management system based on the Internet. Figure 2 As shown, including:

[0183] A database construction module is used to obtain enterprise management information technology consulting needs based on the Internet, obtain target data, and construct an information consulting database for data management based on the target data;

[0184] A game result acquisition module, used to construct an enterprise information game model based on the information consultation database, and obtain the game result through the enterprise information game model;

[0185] A management evaluation module is used to select a game indicator based on the game result, and perform management evaluation according to the game indicator through a pre-established GRNN neural network management evaluation model to obtain an evaluation result;

[0186] The consultation management module is used to manage the information consultation of the enterprise through a decision tree algorithm according to the evaluation results and the game results.

[0187] Specifically, the database construction module is specifically used for:

[0188] Obtain enterprise management information technology consulting needs based on the Internet, and extract project-related information based on the enterprise management information technology consulting needs to obtain target data;

[0189] The enterprise management information technology consulting needs include: comprehensive information needs and professional information needs;

[0190] The comprehensive information needs include: enterprise competitive intelligence information, enterprise management information, application system development, management information and comprehensive information;

[0191] The professional information needs include: market information, macroeconomic information, scientific and technological information, financing information and policy and regulatory information;

[0192] Constructing a basic table and a virtual table based on the target data, combining the data in the virtual table in a preset manner to obtain a new logical table, and constructing an information consultation database according to the logical table;

[0193] Wherein, the virtual table is established on the basic table;

[0194] In the information consultation database, unique coding is performed according to the user identity to determine the coding number, and the target data is identified and integrated according to the coding number to obtain a data resource integration directory;

[0195] Based on the data resource integration catalog, data management is performed through the AIGOV five-star model;

[0196] Among them, the AIGOV five-star model is built based on data architecture strategy, data resource governance, data resource integration and sharing, data resource operation management and data resource value-added application strategy.

[0197] Specifically, the game result acquisition module is specifically used for:

[0198] Based on the information consulting database, construct an enterprise financial management payment function according to the target data in the information consulting database and the enterprise operating costs, calculate the financial management consulting value according to the enterprise financial management payment function, market operation costs and financial consulting costs, and construct a primary market game model according to the financial management consulting value;

[0199] Constructing a comprehensive management investment function based on the target data, the enterprise operation target consulting cost and the enterprise operation investment cost, calculating the comprehensive management consulting value based on the comprehensive management investment function and the enterprise organizational structure cost, and constructing a secondary market game model based on the comprehensive management consulting value;

[0200] According to the target data and personnel management costs, taking personnel labor consultation as the optimal goal, constructing a personnel management expectation function, and constructing a three-level market game model according to the personnel management expectation function;

[0201] Determine the inverse demand function of enterprise information technology consulting management based on the target data, enterprise technology consulting development costs and network maintenance costs;

[0202] According to the inverse demand function and the probability of user information technology consultation, the enterprise information consultation profit function is obtained, and a four-level market game model is constructed based on the enterprise profit function;

[0203] Constructing an enterprise information management game model according to the primary market game model, the secondary market game model, the tertiary market game model, and the quaternary market game model, and obtaining a game result according to the enterprise information management game model;

[0204] Among them, the game results include: dilemma results, favorable results, and equilibrium results.

[0205] The calculation formula of the financial management consulting value in the game result acquisition module is as follows:

[0206]

[0207] in,

[0208] In the formula, Indicates the value of financial management consulting; Represents the payment function of enterprise financial management; Indicates the total number of users' information technology consulting needs; Indicates the number of users' information technology consulting needs, ; represents the value factor; represents the cost of market operation; represents the cost of financial consulting; Indicates The payment value corresponding to the information technology consulting needs of each user; represents the market consultation probability; Indicates the type of market information consultation; Indicates the market consulting value fluctuation parameter; Indicates the consulting reserve price; Indicates the valuation of financial management consumption; Indicates the bid data of rival enterprises; Indicates the number of consulting transactions; Indicates The enterprise operating costs corresponding to the information technology consulting needs of each user; Indicates cost.

[0209] The enterprise information consulting profit function in the game result acquisition module includes:

[0210]

[0211] in,

[0212] In the formula, represents the profit function of enterprise information consulting; represents the probability of user information technology consultation; represents the inverse demand function; represents the equilibrium amount of information technology consulting; Indicates the total number of users' information technology consulting needs; Indicates the number of users' information technology consulting needs; Indicates The enterprise technology consulting development cost corresponding to the information technology consulting needs of each user; Indicates Network maintenance costs corresponding to each user's information technology consulting needs; Indicates the proportion of Internet technology; The equilibrium solution representing the probability of user information technology consultation; Demand parameters representing information technology demand consultation in target data; Indicates the frequency of management and regulation of enterprise information technology consulting.

[0213] Specifically, the management evaluation module is specifically used for:

[0214] Based on the game results, game indicators are selected, and indicator calculation is performed according to the game indicators to obtain game indicator values ​​of each game indicator. The game indicator values ​​are input into a pre-established GRNN neural network management evaluation model for management evaluation to obtain the actual enterprise management value, and the actual enterprise management value is used as the evaluation result.

[0215] Preferably, the steps of constructing and verifying the GRNN neural network management evaluation model in the management evaluation module are as follows:

[0216] R1: Determine the enterprise information technology consulting indicators according to the target data, and obtain the enterprise information technology consulting management evaluation indicators based on the enterprise information technology consulting indicators through correlation test screening;

[0217] R2: Determine an evaluation index vector according to the enterprise information technology consulting management evaluation index, and divide the evaluation index vector into different index matrices according to preset dimensions;

[0218] R3: Normalize the data in the index matrix to obtain standard data, and input the standard data into the input layer of the GRNN neural network;

[0219] R4: Divide the pre-acquired target sample data into a training set and a test set, perform weighted sum calculation on the training set in the summation layer of the GRNN neural network, obtain the predicted enterprise management value, and output the predicted enterprise management value through the output layer;

[0220] R5: Input the test set into the input layer of the GRNN neural network, and perform weighted sum calculation on the data in the test set in the summation layer of the GRNN neural network to obtain the actual enterprise management value;

[0221] R6: The predicted enterprise management value and the actual enterprise management value are subtracted to obtain a real management error value. When the absolute value of the real management error value is less than a preset threshold, the inspection result is displayed as qualified, otherwise the inspection result is displayed as unqualified.

[0222] The standard data calculation formula in the management evaluation module is as follows:

[0223]

[0224] In the formula, Indicates standard data; Represents the total number of rows and columns of the index matrix; Indicates the index matrix Line The index data of the column; Indicates the number of columns of the index matrix; represents the row vector of evaluation indicators; Represents the mean of the row vector of evaluation indicators; represents the evaluation index column vector; Represents the mean of the evaluation index column vector; represents the mean parameter; Represents the error factor.

[0225] Specifically, the consultation management module is specifically used for:

[0226] Step S1: Determine the classification attributes of enterprise information technology consulting management according to the evaluation results and the game results;

[0227] Step S2: determining a decision tree training set according to the classification attributes, and calculating the information gain rate of enterprise information technology consulting management for each classification attribute;

[0228] Step S3: sorting the information gain rates in descending order, selecting the classification attribute with the maximum information gain rate as the root node of the decision tree, and dividing the corresponding data set according to the attribute value of the maximum information gain rate;

[0229] Step S4: Determine whether the data set can be further divided. If the data set can be further divided, return to step S2; otherwise, generate a decision tree.

[0230] Step S5: Input the evaluation results into the decision tree to manage the enterprise information technology consultation and obtain the decision results.

[0231] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0232] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0233] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0234] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0235] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0236] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0237] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An Internet-based enterprise management information technology consulting management method, characterized in that: include: Obtain enterprise management information technology consulting needs based on the Internet, obtain target data, and build an information consulting database for data management based on the target data; Based on the information consultation database, construct an enterprise information management game model, and obtain the game result through the enterprise information management game model; Based on the game results, game indicators are selected, and management evaluation is performed according to the game indicators through a pre-established GRNN neural network management evaluation model to obtain an evaluation result; Managing the information consultation of the enterprise through a decision tree algorithm according to the evaluation results and the game results; The step of constructing an enterprise information management game model based on the information consultation database and obtaining a game result through the enterprise information management game model includes: Based on the information consulting database, construct an enterprise financial management payment function according to the target data in the information consulting database and the enterprise operating costs, calculate the financial management consulting value according to the enterprise financial management payment function, market operation costs and financial consulting costs, and construct a primary market game model according to the financial management consulting value; According to the target data, the enterprise operation target consulting cost and the enterprise operation investment cost, a comprehensive management investment function is constructed; according to the comprehensive management investment function and the enterprise organizational structure cost, the comprehensive management consulting value is calculated; and according to the comprehensive management consulting value, a secondary market game model is constructed; According to the target data and personnel management costs, taking personnel labor consultation as the optimal goal, constructing a personnel management expectation function, and constructing a three-level market game model according to the personnel management expectation function; Determine the inverse demand function of enterprise information technology consulting management based on the target data, enterprise technology consulting development costs and network maintenance costs; According to the inverse demand function and the probability of user information technology consultation, the enterprise information consultation profit function is obtained, and a four-level market game model is constructed based on the enterprise information consultation profit function; Constructing an enterprise information management game model according to the primary market game model, the secondary market game model, the tertiary market game model, and the quaternary market game model, and obtaining a game result according to the enterprise information management game model; Among them, the game results include: dilemma results, favorable results, and equilibrium results.

2. The Internet-based enterprise management information technology consulting management method according to claim 1 is characterized in that: The obtaining of enterprise management information technology consulting needs based on the Internet, and building an information consulting database for data management based on the enterprise management information technology consulting needs, includes: Obtain enterprise management information technology consulting needs based on the Internet, and extract project-related information based on the enterprise management information technology consulting needs to obtain target data; The enterprise management information technology consulting needs include: comprehensive information needs and professional information needs; The comprehensive information needs include: enterprise competitive intelligence information, enterprise management information, application system development, management information and comprehensive information; The professional information needs include: market information, macroeconomic information, scientific and technological information, financing information and policy and regulatory information; Constructing a basic table and a virtual table based on the target data, combining the data in the virtual table in a preset manner to obtain a new logical table, and constructing an information consultation database according to the logical table; Wherein, the virtual table is established on the basic table; In the information consultation database, unique coding is performed according to the user identity to determine the coding number, and the target data is identified and integrated according to the coding number to obtain a data resource integration directory; Based on the data resource integration catalog, data management is performed through the AIGOV five-star model; Among them, the AIGOV five-star model is built based on data architecture strategy, data resource governance, data resource integration and sharing, data resource operation management and data resource value-added application strategy.

3. The Internet-based enterprise management information technology consulting management method according to claim 1 is characterized in that: The calculation formula of the financial management consulting value is as follows: Wherein, in, In the formula, Indicates the value of financial management consulting; Represents the payment function of enterprise financial management; Indicates the total number of users' information technology consulting needs; Indicates the number of users' information technology consulting needs, ; represents the value factor; represents the cost of market operation; represents the cost of financial consulting; Indicates The payment value corresponding to the information technology consulting needs of each user; represents the market consultation probability; Indicates the type of market information consultation; Indicates the market consulting value fluctuation parameter; Indicates the consulting reserve price; Indicates the valuation of financial management consumption; Indicates the bid data of rival enterprises; Indicates the number of consulting transactions; Indicates The enterprise operating costs corresponding to the information technology consulting needs of each user; Indicates cost.

4. The Internet-based enterprise management information technology consulting management method according to claim 3 is characterized in that: The enterprise information consulting profit function includes: in, In the formula, represents the profit function of enterprise information consulting; represents the probability of user information technology consultation; represents the inverse demand function; represents the equilibrium amount of information technology consulting; Indicates the total number of users' information technology consulting needs; Indicates the number of users' information technology consulting needs; Indicates The enterprise technology consulting development cost corresponding to the information technology consulting needs of each user; Indicates Network maintenance costs corresponding to each user's information technology consulting needs; Indicates the proportion of Internet technology; The equilibrium solution representing the probability of user information technology consultation; Demand parameters representing information technology consulting needs in target data; Indicates the frequency of management and regulation of enterprise information technology consulting.

5. The Internet-based enterprise management information technology consulting management method according to claim 1 is characterized in that: Based on the game result, game indicators are selected, and management evaluation is performed according to the game indicators through a pre-established GRNN neural network management evaluation model to obtain evaluation results, including: Based on the game results, game indicators are selected, and indicator calculation is performed according to the game indicators to obtain game indicator values ​​of each game indicator. The game indicator values ​​are input into a pre-established GRNN neural network management evaluation model for management evaluation to obtain the actual enterprise management value, and the actual enterprise management value is used as the evaluation result.

6. The Internet-based enterprise management information technology consulting management method according to claim 5 is characterized in that: The construction and verification steps of the GRNN neural network management evaluation model are as follows: R1: Determine the enterprise information technology consulting indicators according to the target data, and obtain the enterprise information technology consulting management evaluation indicators based on the enterprise information technology consulting indicators through correlation test screening; R2: Determine an evaluation index vector according to the enterprise information technology consulting management evaluation index, and divide the evaluation index vector into different index matrices according to preset dimensions; R3: Normalize the data in the index matrix to obtain standard data, and input the standard data into the input layer of the GRNN neural network; R4: Divide the pre-acquired target sample data into a training set and a test set, perform weighted sum calculation on the training set in the summation layer of the GRNN neural network, obtain the predicted enterprise management value, and output the predicted enterprise management value through the output layer; R5: Input the test set into the input layer of the GRNN neural network, and perform weighted sum calculation on the data in the test set in the summation layer of the GRNN neural network to obtain the actual enterprise management value; R6: The predicted enterprise management value and the actual enterprise management value are subtracted to obtain a real management error value. When the absolute value of the real management error value is less than a preset threshold, the inspection result is displayed as qualified, otherwise the inspection result is displayed as unqualified.

7. The Internet-based enterprise management information technology consulting management method according to claim 6 is characterized in that: The standard data calculation formula is as follows: In the formula, Indicates standard data; Represents the total number of rows and columns of the index matrix; Indicates the index matrix Line The index data of the column; Indicates the number of columns of the index matrix; represents the row vector of evaluation indicators; Represents the mean of the row vector of evaluation indicators; represents the evaluation index column vector; Represents the mean of the evaluation index column vector; represents the mean parameter; Represents the error factor.

8. The Internet-based enterprise management information technology consulting management method according to claim 1 is characterized in that: The management of the enterprise's information consultation through a decision tree algorithm according to the evaluation results and the game results includes: Step S1: Determine the classification attributes of enterprise information technology consulting management according to the evaluation results and the game results; Step S2: determining a decision tree training set according to the classification attributes, and calculating the information gain rate of enterprise information technology consulting management for each classification attribute; Step S3: sorting the information gain rates in descending order, selecting the classification attribute with the maximum information gain rate as the root node of the decision tree, and dividing the corresponding data set according to the attribute value of the maximum information gain rate; Step S4: Determine whether the data set can be further divided. If the data set can be further divided, return to step S2; otherwise, generate a decision tree. Step S5: Input the evaluation results into the decision tree to manage the enterprise information technology consultation and obtain the decision results.

9. Internet-based enterprise management information technology consulting and management system, characterized by: include: A database construction module is used to obtain enterprise management information technology consulting needs based on the Internet, obtain target data, and construct an information consulting database for data management based on the target data; A game result acquisition module, used to construct an enterprise information management game model based on the information consultation database, and obtain the game result through the enterprise information management game model; A management evaluation module is used to select a game indicator based on the game result, and perform management evaluation according to the game indicator through a pre-established GRNN neural network management evaluation model to obtain an evaluation result; A consultation management module, used to manage the information consultation of the enterprise through a decision tree algorithm according to the evaluation results and the game results; The step of constructing an enterprise information management game model based on the information consultation database and obtaining a game result through the enterprise information management game model includes: Based on the information consulting database, construct an enterprise financial management payment function according to the target data in the information consulting database and the enterprise operating costs, calculate the financial management consulting value according to the enterprise financial management payment function, market operation costs and financial consulting costs, and construct a primary market game model according to the financial management consulting value; According to the target data, the enterprise operation target consulting cost and the enterprise operation investment cost, a comprehensive management investment function is constructed; according to the comprehensive management investment function and the enterprise organizational structure cost, the comprehensive management consulting value is calculated; and according to the comprehensive management consulting value, a secondary market game model is constructed; According to the target data and personnel management costs, taking personnel labor consultation as the optimal goal, constructing a personnel management expectation function, and constructing a three-level market game model according to the personnel management expectation function; Determine the inverse demand function of enterprise information technology consulting management based on the target data, enterprise technology consulting development costs and network maintenance costs; According to the inverse demand function and the probability of user information technology consultation, the enterprise information consultation profit function is obtained, and a four-level market game model is constructed based on the enterprise information consultation profit function; Constructing an enterprise information management game model according to the primary market game model, the secondary market game model, the tertiary market game model, and the quaternary market game model, and obtaining a game result according to the enterprise information management game model; Among them, the game results include: dilemma results, favorable results, and equilibrium results.

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