CN105427109A

CN105427109A - Enhanced electronic commerce mode prediction on-line diagnosis system and diagnosis method thereof

Info

Publication number: CN105427109A
Application number: CN201510601912.9A
Authority: CN
Inventors: 丁如
Original assignee: JIANGSU TIANZHI INTERNET TECHNOLOGY Co Ltd
Current assignee: JIANGSU TIANZHI INTERNET TECHNOLOGY Co Ltd
Priority date: 2015-09-21
Filing date: 2015-09-21
Publication date: 2016-03-23

Abstract

The invention provides an enhanced electronic commerce mode prediction on-line diagnosis system and a diagnosis method thereof. The system comprises a background server set, a terminal for diagnosis, and a network formed by foreground client computers arranged in a plurality of enterprises, a product sales performance comprises sales performances of the first month, the second month, the third month, the fourth month, the fifth month, the sixth month, the seventh month, the eighth month, the ninth month, the tenth month, the eleventh month, and the twelfth month of each product in last year, and transaction information comprises present operation situation, and cost analyses of the first month, the second month, the third month, the fourth month, the fifth month, the sixth month, the seventh month, the eighth month, the ninth month, the tenth month, the eleventh month, and the twelfth month in last year. According to the system and the method, defects of the lack of scientific and systematic determination and diagnosis of transformation, increased decision risk due to incorrect diagnosis of self transformation development of the enterprise, and incomplete reflection of annual business condition in the prior art are reduced.

Description

Diagnostic system and diagnostic method thereof on the line of reinforced electric business model prediction

Technical field

The invention belongs to the diagnostic techniques field for electric business, diagnostic system and diagnostic method thereof on the line being specifically related to a kind of reinforced electric business model prediction.

Background technology

Ecommerce represent on the one hand advanced yield-power, is also that the quick modernization of Chinese Enterprise provides a valuable opportunity on the other hand.Thus, conventional industries ecommerce becomes the only way of enterprise development transition; But because environment is still immature, the differentiation in industry and region, conventional industries self-condition differentiation and conventional industries lack the correct factor such as cognitive for ecommerce, the excessive cost input causing Intranet make the transition and greater risk.Therefore, make the transition early stage in conventional industries, prior art lacks the science of transition, the judgement of system and diagnosis, enterprise cannot be allowed to make correct diagnosis to self Transformation Development, risk of policy making is increased.Often just assess in conjunction with bimestrial turnover in common diagnostic method in addition, the turnover in the reflection year that such diagnostic method often can not be complete.

Summary of the invention

Diagnostic system and diagnostic method thereof on the line that object of the present invention provides a kind of reinforced electric business model prediction, diagnostic system and diagnostic method thereof on a kind of line of reinforced electric business model prediction, comprise background server group, diagnostic terminal and be arranged on the network of the foreground client computing machine composition in some enterprises, production marketing achievement comprise first month, second month of year last year of each product, March, April, May, June, July, August, September, October, November, Dec sales achievement; Described Transaction Information comprise current operation situation, first month, second month of year last year, March, April, May, June, July, August, September, October, November, Dec cost analysis.And by method reduce in prior art lack transition science, the judgement of system and diagnosis, enterprise cannot be allowed to make self Transformation Development, and correct diagnosis makes risk of policy making increase, the defect of the turnover in reflection year that can not be complete.

In order to overcome deficiency of the prior art, the solution of diagnostic system and diagnostic method thereof on the line that the invention provides a kind of reinforced electric business model prediction, specific as follows:

Diagnostic system on a kind of line of reinforced electric business model prediction, comprise background server group, diagnostic terminal and be arranged on the network of the foreground client computing machine composition in some enterprises, the corresponding foreground client computing machine of each enterprise, described background server group comprises database server and application server; Wherein said database server, the first diagnostic module and the first database is included in described database server, the first described database i.e. data source data storehouse, foreground queries module is included in described diagnostic terminal, with foreground processing module in described foreground client computing machine, described application server, includes second opinion module and the second database in described application server.

The second described database comprises product data sheet, transaction data table, marketing data sheet and branding data table.

The first described diagnostic module is used for the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise is stored in the first database as a record, for inquiring enterprise name in record according to this enterprise name with consistent that record of the enterprise name in this query statement in the first database, and the data in this record are sent to diagnostic terminal process.

Described second opinion module is used for the IP address of the foreground client computing machine in this instruction to send as destination address the instruction of information allowing the transmission product of enterprise, transaction, marketing and brand, for the information of the product of the enterprise received, transaction, marketing and brand being stored into respectively product data sheet, transaction data table, marketing data sheet and the branding data table in the second database, for diagnosing by Boston Matrix analytical approach, for the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise sends to described database server.

Described foreground queries module is used for sending to data server the querying command including enterprise name.

The diagnostic method of diagnostic system on the line of described reinforced electric business model prediction, step is as follows:

Step 1: first in described foreground client computing machine stored in the information of the product of enterprise, transaction, marketing and brand, wherein the information of brand comprises enterprise name, enterprise address, enterprise's network address, enterprise nature, staff size, scale of investment, place industry, main business, organizational structure, enterprises ' industry rank, brand influence, enterprise information management present situation, electric commerce-change present situation, line upper mounting plate operation situation; The information of product comprises factory scenario, logistics center's information, product details, production efficiency, product strategy planning; The information of marketing comprises sales region and shops's information, production marketing achievement, product marketing strategic planning, described production marketing achievement comprise first month, second month of year last year of each product, March, April, May, June, July, August, September, October, November, Dec line on sales achievement and sales achievement under line; Described Transaction Information comprise first month, second month of year last year, March, April, May, June, July, August, September, October, November, the sales volume in Dec, current operation situation, first month, second month of year last year, March, April, May, June, July, August, September, October, November, Dec cost analysis, the information of described cost analysis comprises cost taken by themselves, cost of labor, market competition cost, special cost;

Step 2: stored in the product of enterprise in described foreground client computing machine, transaction, after the information of marketing and brand, foreground processing module just sends the product of the request transmission enterprise including the IP address of foreground client computing machine to described application server, transaction, the instruction of the information of marketing and brand, described application server receives the product of the request transmission enterprise that this includes the IP address of foreground client computing machine, transaction, after the instruction of the information of marketing and brand, just start second opinion module and the IP address of the foreground client computing machine in this instruction is sent as destination address the product allowing transmission enterprise, transaction, the instruction of the information of marketing and brand, such foreground client computing machine receives the product of this permission transmission enterprise, transaction, after the instruction of the information of marketing and brand, just described stored in the product of enterprise, transaction, the information of marketing and brand is sent in described application server, and such second opinion module is just the product of the enterprise received, transaction, the information of marketing and brand is stored into the product data sheet in the second database respectively, transaction data table, marketing data sheet and branding data table, the factory scenario in the information of wherein product, logistics center's information, product details, production efficiency, product strategy planning forms a record in product data sheet, sales region in the information of marketing and shops's information, production marketing achievement, product marketing strategic planning form a record in marketing data sheet, first month, second month of year last year in Transaction Information, March, April, May, June, July, August, September, October, November, the sales volume in Dec, current operation situation, cost analysis form one article of record in transaction data table, enterprise name in the information of brand, enterprise address, enterprise's network address, enterprise nature, staff size, scale of investment, place industry, main business, organizational structure, enterprises ' industry rank, brand influence, enterprise information management present situation, electric commerce-change present situation, line upper mounting plate operation situation form a record in branding data table,

Step 3: in all foreground client computing machines stored in the product of enterprise, transaction, the information of marketing and brand is all stored in after the second database, and described second opinion module is just diagnosed by Boston Matrix analytical approach, is exactly respectively first month of the last year year of each enterprise in the record that the second database is corresponding particularly, second month, March, April, May, June, July, August, September, October, November, sales achievement on the line in Dec and the sales achievement under line, first month of year last year, second month, March, April, May, June, July, August, September, October, November, the cost analysis in Dec extracts, the sales achievement summation in first month in year last year is obtained to sales achievement summation under the sales achievement on the line in first month in year last year of each enterprise and the line in first month in year last year, and respectively the sales achievement summation in second month in year last year is obtained to sales achievement summation under the sales achievement on the line in second month in year last year of each enterprise and the line in second month in year last year, then the sales achievement summation in second month in year last year is deducted the sales achievement summation in first month in year last year, the difference of gained, divided by the sales achievement summation in first month in year last year, namely obtains the sales growth rate of sales achievement relative to the sales achievement in first month in year last year in second month in year last year, the sales achievement summation of the March in year last year is obtained to sales achievement summation under the sales achievement on the line of the March in year last year of each enterprise and the line of the March in year last year, and respectively the sales achievement summation of the April in year last year is obtained to sales achievement summation under the sales achievement on the line of the April in year last year of each enterprise and the line of the April in year last year, then the sales achievement summation of the April in year last year is deducted the sales achievement summation of the March in year last year, the difference of gained is divided by the sales achievement summation of the March in year last year, namely the sales growth rate of sales achievement relative to the sales achievement of the March in year last year of the April in year last year is obtained, the sales achievement summation of the May in year last year is obtained to sales achievement summation under the sales achievement on the line of the May in year last year of each enterprise and the line of the May in year last year, and respectively the sales achievement summation of the June in year last year is obtained to sales achievement summation under the sales achievement on the line of the June in year last year of each enterprise and the line of the June in year last year, then the sales achievement summation of the June in year last year is deducted the sales achievement summation of the May in year last year, the difference of gained is divided by the sales achievement summation of the May in year last year, namely the sales growth rate of sales achievement relative to the sales achievement of the May in year last year of the June in year last year is obtained, the sales achievement summation of the July in year last year is obtained to sales achievement summation under the sales achievement on the line of the July in year last year of each enterprise and the line of the July in year last year, and respectively the sales achievement summation of the August in year last year is obtained to sales achievement summation under the sales achievement on the line of the August in year last year of each enterprise and the line of the August in year last year, then the sales achievement summation of the August in year last year is deducted the sales achievement summation of the August in year last year, the difference of gained is divided by the sales achievement summation of the July in year last year, namely the sales growth rate of sales achievement relative to the sales achievement of the July in year last year of the August in year last year is obtained, the sales achievement summation of the September in year last year is obtained to sales achievement summation under the sales achievement on the line of the September in year last year of each enterprise and the line of the September in year last year, and respectively the sales achievement summation of the October in year last year is obtained to sales achievement summation under the sales achievement on the line of the October in year last year of each enterprise and the line of the October in year last year, then the sales achievement summation of the October in year last year is deducted the sales achievement summation of the September in year last year, the difference of gained is divided by the sales achievement summation of the September in year last year, namely the sales growth rate of sales achievement relative to the sales achievement of the September in year last year of the October in year last year is obtained, the sales achievement summation of the November in year last year is obtained to sales achievement summation under the sales achievement on the line of the November in year last year of each enterprise and the line of the November in year last year, and respectively the sales achievement summation of the December in year last year is obtained to sales achievement summation under the sales achievement on the line of the December in year last year of each enterprise and the line of the December in year last year, then the sales achievement summation of the December in year last year is deducted the sales achievement summation of the November in year last year, the difference of gained is divided by the sales achievement summation of the November in year last year, namely the sales growth rate of sales achievement relative to the sales achievement of the November in year last year of the December in year last year is obtained, the sales growth rate of the sales achievement in second month in year last year relative to the sales achievement in first month in year last year, the sales achievement of the April in year last year is relative to the sales growth rate of the sales achievement of the March in year last year, the sales achievement of the June in year last year is relative to the sales growth rate of the sales achievement of the May in year last year, the sales achievement of the August in year last year is relative to the sales growth rate of the sales achievement of the July in year last year, the sales achievement of the October in year last year is relative to the sales growth rate of the sales achievement of the September in year last year, the sales achievement of the December in year last year is multiplied by the 100 score value S just obtaining increasing for this enterprise marketing again relative to obtaining average sales growth rate divided by six after the sales growth rate addition of the sales achievement of the November in year last year _1i, wherein S _1ibe the score value that the enterprise marketing of i-th enterprise increases, i is natural number,

Step 4: again according to first month of year last year extracted, second month, March, April, May, June, July, August, September, October, November, the cost analysis in Dec, all entry summations of the cost analysis in first month in year last year of each enterprise are obtained to the cost analysis summation in first month in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis in second month in year last year of each enterprise obtain second month in year last year, then the marketing in second month in year last year is dropped into the marketing input summation that summation deducts first month in year last year, the difference of gained drops into summation divided by the marketing in first month in year last year, namely the marketing obtaining second month in year last year drops into the rate of growth dropped into relative to the marketing in first month in year last year, all entry summations of the cost analysis of the March in year last year of each enterprise are obtained to the cost analysis summation of the March in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis of the April in year last year of each enterprise obtain the April in year last year, then the marketing of the April in year last year is dropped into the marketing input summation that summation deducts the March in year last year, the difference of gained drops into summation divided by the marketing of the March in year last year, namely the marketing obtaining the April in year last year drops into the rate of growth dropped into relative to the marketing of the March in year last year, all entry summations of the cost analysis of the May in year last year of each enterprise are obtained to the cost analysis summation of the May in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis of the June in year last year of each enterprise obtain the June in year last year, then the marketing of the June in year last year is dropped into the marketing input summation that summation deducts the June in year last year, the difference of gained drops into summation divided by the marketing of the May in year last year, namely the marketing obtaining the June in year last year drops into the rate of growth dropped into relative to the marketing of the May in year last year, all entry summations of the cost analysis of the July in year last year of each enterprise are obtained to the cost analysis summation of the July in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis of the August in year last year of each enterprise obtain the August in year last year, then the marketing of the August in year last year is dropped into the marketing input summation that summation deducts the July in year last year, the difference of gained drops into summation divided by the marketing of the July in year last year, namely the marketing obtaining the August in year last year drops into the rate of growth dropped into relative to the marketing in first month in year last year, all entry summations of the cost analysis of the September in year last year of each enterprise are obtained to the cost analysis summation of the September in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis of the October in year last year of each enterprise obtain the October in year last year, then the marketing of the October in year last year is dropped into the marketing input summation that summation deducts the September in year last year, the difference of gained drops into summation divided by the marketing of the September in year last year, namely the marketing obtaining the October in year last year drops into the rate of growth dropped into relative to the marketing of the September in year last year, all entry summations of the cost analysis of the November in year last year of each enterprise are obtained to the cost analysis summation of the November in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis of the December in year last year of each enterprise obtain the December in year last year, then the marketing of the December in year last year is dropped into the marketing input summation that summation deducts the November in year last year, the difference of gained drops into summation divided by the marketing of the November in year last year, namely the marketing obtaining the December in year last year drops into the rate of growth dropped into relative to the marketing of the November in year last year, the marketing of the December in year last year is dropped into the rate of growth dropped into relative to the marketing of the November in year last year, the marketing of the October in year last year drops into the rate of growth dropped into relative to the marketing of the September in year last year, the marketing of the August in year last year drops into the rate of growth dropped into relative to the marketing of the July in year last year, the marketing of the June in year last year drops into the rate of growth dropped into relative to the marketing of the May in year last year, the marketing of the April in year last year drops into the rate of growth dropped into relative to the marketing of the March in year last year, obtain the rate of growth of average marketing input divided by six after the marketing in second month in year last year drops into the rate of growth summation dropped into relative to the marketing in first month in year last year, it is multiplied by the 100 score value S just obtaining dropping into for this enterprise marketing again _2i, wherein S _2ibe the score value that the enterprise marketing of i-th enterprise drops into, i is natural number,

Step 5: then ask for the weighted scoring value of enterprise marketing growth and the weighted scoring value of enterprise marketing input to each enterprise respectively, particularly, the weighted scoring value that the enterprise marketing of i-th enterprise increases is: S _1i* W _1i, the weighted scoring value that the enterprise marketing of i-th enterprise drops into is: S _2i* W _2i, wherein W _1ibe the weighted value of the sales growth of i-th enterprise, wherein W _2ibe the weighted value that the marketing of i-th enterprise drops into, i is natural number;

Step 6: the weighted scoring value that the weighted scoring value that the enterprise marketing of i-th enterprise is increased and the enterprise marketing of i-th enterprise drop into is added the total weighted scoring S obtaining i-th enterprise _i;

Step 7: the total weighted scoring TS asking for all enterprises again _n, TS _n=S ₁+ S ₂..+S _n; Ask for total weighted scoring mean value LS of all enterprises _n, LS _n=(S ₁+ S ₂..+S _n)/n; The weighted scoring mean value LS that the enterprise marketing asking for all enterprises increases _1n=(S ₁₁* W ₁₁+ S ₁₂* W ₁₂..+S _1n* W _1n)/n; The weighted scoring mean value LS that the enterprise marketing asking for all enterprises drops into _2n=(S ₂₁* W ₂₁+ S ₂₂* W ₂₂..+S _2n* W _2n)/n, wherein n is existing enterprise's number;

Step 8: build coordinate system, wherein horizontal ordinate represents that the weighted scoring value that the enterprise marketing of enterprise increases, ordinate represent the weighted scoring value that the enterprise marketing of enterprise drops into, and is LS at the horizontal ordinate of this coordinate system _1na vertical line is done in the position of/2, and is LS at the ordinate of this coordinate system _2nan x wire is done in the position of/2, and this x wire and the mutual cross-partition of vertical line go out right lower quadrant region, upper right quarter region, upper left region and lower left quarter region;

Step 9: subsequently using the horizontal ordinate of the weighted scoring value of the enterprise marketing of each enterprise growth as this coordinate system, and the weighted scoring value that the enterprise marketing of this enterprise drops into is as the ordinate of this coordinate system, forming coordinate points corresponding to this enterprise is presented on this coordinate system, the region that the coordinate points corresponding in the coordinate system according to it falls into judges its business type, judgement specific as follows:

If coordinate points falls into right lower quadrant region, this enterprise is high growth low input enterprise;

If coordinate points falls into upper right quarter region, this enterprise is high growth high investment enterprise; ,

If coordinate points falls into lower left quarter region, this enterprise is low growth low input enterprise;

If coordinate points falls into upper left region, this enterprise is low growth high investment enterprise;

Step 10: using this judgment result displays coordinate analysis figure as this enterprise on coordinate system;

Step 11: then second opinion module is the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise sends to described database server,

Step 12: then the first diagnostic module is by the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise is stored in the first database as a record,

Step 13: data server is sent to the querying command including enterprise name in the foreground queries module of described diagnostic terminal, and the first diagnostic module will inquire enterprise name in record with consistent that record of the enterprise name in this query statement according to this enterprise name in the first database, and the data in this record are sent to diagnostic terminal process.

Described W _1ivalue be if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.5 with regard to value, if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.0 with regard to value; Described W _2ivalue be if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.5 with regard to value, if deposit sales achievement on line in the sales achievement of enterprise, W _2ibe 1.0 with regard to value.

Described enterprise information management present situation comprises the information belonging to ERP or CRM; Described electric commerce-change present situation comprises whether self-built platform, whether third-party platform, concrete belonging to the information of kind; Described line upper mounting plate situation comprises the information that platform drops into product margin on situation, output present situation and expection, line; Described product details comprise the technical advantage of each product, technology inferior position, attraction, Patent, life cycle; Described production efficiency comprises logistics time, the information of delivery date, after sale feedback time.

Described sales region and shops's information comprise the information of shops's layout, field sales situation, shops's sales situation.

Described product strategy planning comprises the content whether having present stage product strategy, product strategy to plan.

Whether described product marketing strategic planning comprises has present stage to produce sheet marketing strategy, what marketing strategy is.

The information of described current operation situation comprises stock information, studio rent information, other fees information, product average gross profit information, the average gross profit information of industry.

Apply such scheme of the present invention, the commercialization indexs such as product/transaction/marketing/brand involved in management on enterprise's line are analyzed.The present invention can find the On Index on enterprise's line in management process, and with the form quantitative management usefulness of data supporting and tactful deviation, aid decision making, can define diagnosis mark post according to different enterprise platform carrying magnitude difference, for administration behaviour on enterprise's line is made decision reference.Can also the turnover in complete reflection whole year.

Accompanying drawing explanation

Fig. 1 be reinforced electric business model prediction of the present invention line on the theory structure schematic diagram of diagnostic system.

Embodiment

Below in conjunction with drawings and Examples, summary of the invention is described further:

With reference to shown in Fig. 1, diagnostic system on the line of reinforced electric business model prediction, comprise background server group, diagnostic terminal and be arranged in some enterprises foreground client computing machine composition network, can to the variable commercial factors designed in management of enterprise operation process: i.e. product, transaction, marketing and brand four broad aspect carry out multianalysis, thus obtain supplying the electric commerce-change feasibility of enterprise and agreeing with the information of electric quotient module formula accordingly, the corresponding foreground client computing machine of each enterprise, described background server group comprises database server and application server, unify to provide support service for foreground client computer application, wherein said database server, the first diagnostic module and the first database is included in described database server, the first described database i.e. data source data storehouse, namely for storing all process datas of enterprise's line upper mounting plate management, comprise diagnostic clue data, diagnosis index system, diagnostic process, condition Sum fanction, and the diagnosis logging data of enterprise, foreground queries module is included in described diagnostic terminal, with foreground processing module in described foreground client computing machine, described application server, second opinion module and the second database is included in described application server, namely for receiving the business data information from the typing of foreground client computing machine, according to diagnosis index system, use corresponding flow process, condition Sum fanction, diagnostic analysis algorithm according to correspondence carries out reference marking.The second described database comprises product data sheet, transaction data table, marketing data sheet and branding data table.The first described diagnostic module is used for the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise is stored in the first database as a record, for inquiring enterprise name in record according to this enterprise name with consistent that record of the enterprise name in this query statement in the first database, and the data in this record are sent to diagnostic terminal process.Described second opinion module is used for the IP address of the foreground client computing machine in this instruction to send as destination address the instruction of information allowing the transmission product of enterprise, transaction, marketing and brand, for the information of the product of the enterprise received, transaction, marketing and brand being stored into respectively product data sheet, transaction data table, marketing data sheet and the branding data table in the second database, for diagnosing by Boston Matrix analytical approach, for the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise sends to described database server.Described foreground queries module is used for sending to data server the querying command including enterprise name.

The diagnostic method of diagnostic system on the line of described reinforced electric business model prediction, by based on economies in transition model, the model of economic growth, theory of business management, statistics mathematical statistics method and the diagnosis index system formed carries out assay, step is as follows:

Step 3: in all foreground client computing machines stored in the product of enterprise, transaction, the information of marketing and brand is all stored in after the second database, and described second opinion module is just diagnosed by Boston Matrix analytical approach, is exactly respectively first month of the last year year of each enterprise in the record that the second database is corresponding particularly, second month, March, April, May, June, July, August, September, October, November, sales achievement on the line in Dec and the sales achievement under line, first month of year last year, second month, March, April, May, June, July, August, September, October, November, the cost analysis in Dec extracts, the sales achievement summation in first month in year last year is obtained to sales achievement summation under the sales achievement on the line in first month in year last year of each enterprise and the line in first month in year last year, and respectively the sales achievement summation in second month in year last year is obtained to sales achievement summation under the sales achievement on the line in second month in year last year of each enterprise and the line in second month in year last year, then the sales achievement summation in second month in year last year is deducted the sales achievement summation in first month in year last year, the difference of gained, divided by the sales achievement summation in first month in year last year, namely obtains the sales growth rate of sales achievement relative to the sales achievement in first month in year last year in second month in year last year, the sales achievement summation of the March in year last year is obtained to sales achievement summation under the sales achievement on the line of the March in year last year of each enterprise and the line of the March in year last year, and respectively the sales achievement summation of the April in year last year is obtained to sales achievement summation under the sales achievement on the line of the April in year last year of each enterprise and the line of the April in year last year, then the sales achievement summation of the April in year last year is deducted the sales achievement summation of the March in year last year, the difference of gained is divided by the sales achievement summation of the March in year last year, namely the sales growth rate of sales achievement relative to the sales achievement of the March in year last year of the April in year last year is obtained, the sales achievement summation of the May in year last year is obtained to sales achievement summation under the sales achievement on the line of the May in year last year of each enterprise and the line of the May in year last year, and respectively the sales achievement summation of the June in year last year is obtained to sales achievement summation under the sales achievement on the line of the June in year last year of each enterprise and the line of the June in year last year, then the sales achievement summation of the June in year last year is deducted the sales achievement summation of the May in year last year, the difference of gained is divided by the sales achievement summation of the May in year last year, namely the sales growth rate of sales achievement relative to the sales achievement of the May in year last year of the June in year last year is obtained, the sales achievement summation of the July in year last year is obtained to sales achievement summation under the sales achievement on the line of the July in year last year of each enterprise and the line of the July in year last year, and respectively the sales achievement summation of the August in year last year is obtained to sales achievement summation under the sales achievement on the line of the August in year last year of each enterprise and the line of the August in year last year, then the sales achievement summation of the August in year last year is deducted the sales achievement summation of the August in year last year, the difference of gained is divided by the sales achievement summation of the July in year last year, namely the sales growth rate of sales achievement relative to the sales achievement of the July in year last year of the August in year last year is obtained, the sales achievement summation of the September in year last year is obtained to sales achievement summation under the sales achievement on the line of the September in year last year of each enterprise and the line of the September in year last year, and respectively the sales achievement summation of the October in year last year is obtained to sales achievement summation under the sales achievement on the line of the October in year last year of each enterprise and the line of the October in year last year, then the sales achievement summation of the October in year last year is deducted the sales achievement summation of the September in year last year, the difference of gained is divided by the sales achievement summation of the September in year last year, namely the sales growth rate of sales achievement relative to the sales achievement of the September in year last year of the October in year last year is obtained, the sales achievement summation of the November in year last year is obtained to sales achievement summation under the sales achievement on the line of the November in year last year of each enterprise and the line of the November in year last year, and respectively the sales achievement summation of the December in year last year is obtained to sales achievement summation under the sales achievement on the line of the December in year last year of each enterprise and the line of the December in year last year, then the sales achievement summation of the December in year last year is deducted the sales achievement summation of the November in year last year, the difference of gained is divided by the sales achievement summation of the November in year last year, namely the sales growth rate of sales achievement relative to the sales achievement of the November in year last year of the December in year last year is obtained, the sales growth rate of the sales achievement in second month in year last year relative to the sales achievement in first month in year last year, the sales achievement of the April in year last year is relative to the sales growth rate of the sales achievement of the March in year last year, the sales achievement of the June in year last year is relative to the sales growth rate of the sales achievement of the May in year last year, the sales achievement of the August in year last year is relative to the sales growth rate of the sales achievement of the July in year last year, the sales achievement of the October in year last year is relative to the sales growth rate of the sales achievement of the September in year last year, the sales achievement of the December in year last year is multiplied by the 100 score value S just obtaining increasing for this enterprise marketing again relative to obtaining average sales growth rate divided by six after the sales growth rate addition of the sales achievement of the November in year last year _1i, wherein S _1ibe the score value that the enterprise marketing of i-th enterprise increases, i is natural number, S in the present embodiment ₁₁be 30, S ₁₂be 40,

Step 4: again according to first month of year last year extracted, second month, March, April, May, June, July, August, September, October, November, the cost analysis in Dec, all entry summations of the cost analysis in first month in year last year of each enterprise are obtained to the cost analysis summation in first month in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis in second month in year last year of each enterprise obtain second month in year last year, then the marketing in second month in year last year is dropped into the marketing input summation that summation deducts first month in year last year, the difference of gained drops into summation divided by the marketing in first month in year last year, namely the marketing obtaining second month in year last year drops into the rate of growth dropped into relative to the marketing in first month in year last year, all entry summations of the cost analysis of the March in year last year of each enterprise are obtained to the cost analysis summation of the March in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis of the April in year last year of each enterprise obtain the April in year last year, then the marketing of the April in year last year is dropped into the marketing input summation that summation deducts the March in year last year, the difference of gained drops into summation divided by the marketing of the March in year last year, namely the marketing obtaining the April in year last year drops into the rate of growth dropped into relative to the marketing of the March in year last year, all entry summations of the cost analysis of the May in year last year of each enterprise are obtained to the cost analysis summation of the May in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis of the June in year last year of each enterprise obtain the June in year last year, then the marketing of the June in year last year is dropped into the marketing input summation that summation deducts the June in year last year, the difference of gained drops into summation divided by the marketing of the May in year last year, namely the marketing obtaining the June in year last year drops into the rate of growth dropped into relative to the marketing of the May in year last year, all entry summations of the cost analysis of the July in year last year of each enterprise are obtained to the cost analysis summation of the July in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis of the August in year last year of each enterprise obtain the August in year last year, then the marketing of the August in year last year is dropped into the marketing input summation that summation deducts the July in year last year, the difference of gained drops into summation divided by the marketing of the July in year last year, namely the marketing obtaining the August in year last year drops into the rate of growth dropped into relative to the marketing in first month in year last year, all entry summations of the cost analysis of the September in year last year of each enterprise are obtained to the cost analysis summation of the September in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis of the October in year last year of each enterprise obtain the October in year last year, then the marketing of the October in year last year is dropped into the marketing input summation that summation deducts the September in year last year, the difference of gained drops into summation divided by the marketing of the September in year last year, namely the marketing obtaining the October in year last year drops into the rate of growth dropped into relative to the marketing of the September in year last year, all entry summations of the cost analysis of the November in year last year of each enterprise are obtained to the cost analysis summation of the November in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis of the December in year last year of each enterprise obtain the December in year last year, then the marketing of the December in year last year is dropped into the marketing input summation that summation deducts the November in year last year, the difference of gained drops into summation divided by the marketing of the November in year last year, namely the marketing obtaining the December in year last year drops into the rate of growth dropped into relative to the marketing of the November in year last year, the marketing of the December in year last year is dropped into the rate of growth dropped into relative to the marketing of the November in year last year, the marketing of the October in year last year drops into the rate of growth dropped into relative to the marketing of the September in year last year, the marketing of the August in year last year drops into the rate of growth dropped into relative to the marketing of the July in year last year, the marketing of the June in year last year drops into the rate of growth dropped into relative to the marketing of the May in year last year, the marketing of the April in year last year drops into the rate of growth dropped into relative to the marketing of the March in year last year, obtain the rate of growth of average marketing input divided by six after the marketing in second month in year last year drops into the rate of growth summation dropped into relative to the marketing in first month in year last year, it is multiplied by the 100 score value S just obtaining dropping into for this enterprise marketing again _2i, wherein S _2ibe the score value that the enterprise marketing of i-th enterprise drops into, i is natural number, S in the present embodiment ₂₁be 40, S ₂₂be 50,

Step 5: then ask for the weighted scoring value of enterprise marketing growth and the weighted scoring value of enterprise marketing input to each enterprise respectively, particularly, the weighted scoring value that the enterprise marketing of i-th enterprise increases is: S _1i* W _1i, the weighted scoring value that the enterprise marketing of i-th enterprise drops into is: S _2i* W _2i, wherein W _1ibe the weighted value of the sales growth of i-th enterprise, wherein W _2iit is the weighted value that the marketing of i-th enterprise drops into, i is natural number, the weighted value of the sales growth of the 1st enterprise is 1 in the present embodiment, the weighted value of the sales growth of the 2nd enterprise is 1.5, the weighted value that the enterprise marketing of the 1st enterprise drops into is 1, the weighted value that the enterprise marketing of the 2nd enterprise drops into is 1.5, the weighted scoring value of the sales growth of the 1st enterprise is 30 thus, the weighted scoring value of the sales growth of the 2nd enterprise is 60, the weighted scoring value that the marketing of the 1st enterprise drops into is the weighted scoring value that the marketing of the 40,2nd enterprise drops into is 75;

Step 6: the weighted scoring value that the weighted scoring value that the enterprise marketing of i-th enterprise is increased and the enterprise marketing of i-th enterprise drop into is added the total weighted scoring S obtaining i-th enterprise _i, total weighted scoring of the 1st enterprise is total weighted scoring of the 70,2nd enterprise is 135;

Step 7: the total weighted scoring TS asking for all enterprises again ₂, TS ₂=205; Ask for total weighted scoring mean value LS of all enterprises ₂, LS _n=102.5; The weighted scoring mean value LS that the enterprise marketing asking for all enterprises increases ₁₂=45; The weighted scoring mean value LS that the enterprise marketing asking for all enterprises drops into _2n=57.5, wherein n is existing enterprise's number, and its value is 2;

Step 8: build coordinate system, wherein horizontal ordinate represents that the weighted scoring value that the enterprise marketing of enterprise increases, ordinate represent the weighted scoring value that the enterprise marketing of enterprise drops into, and is LS at the horizontal ordinate of this coordinate system _1n/ 2, namely a vertical line is done in the position of 22.5, and is LS at the ordinate of this coordinate system _2n/ 2, namely an x wire is done in the position of 28.75, and this x wire and the mutual cross-partition of vertical line go out right lower quadrant region, upper right quarter region, upper left region and lower left quarter region;

And the 1st enterprise is high growth high investment enterprise, the 2nd enterprise is also high growth high investment enterprise.

Described W _1ivalue be if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.5 with regard to value, if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.0 with regard to value; Described W _2ivalue be if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.5 with regard to value, if deposit sales achievement on line in the sales achievement of enterprise, W _2ibe 1.0 with regard to value.Described enterprise information management present situation comprises the information belonging to ERP or CRM.Described electric commerce-change present situation comprises whether self-built platform, whether third-party platform, concrete belonging to the information of kind.Described line upper mounting plate situation comprises the information that platform drops into product margin on situation, output present situation and expection, line.Described product details comprise the technical advantage of each product, technology inferior position, attraction, Patent, life cycle.Described production efficiency comprises logistics time, the information of delivery date, after sale feedback time.Described sales region and shops's information comprise the information of shops's layout, field sales situation, shops's sales situation.Described product strategy planning comprises the content whether having present stage product strategy, product strategy to plan.Whether described product marketing strategic planning comprises has present stage to produce sheet marketing strategy, what marketing strategy is.The information of described current operation situation comprises stock information, studio rent information, other fees information, product average gross profit information, the average gross profit information of industry.

The above, it is only preferred embodiment of the present invention, not any pro forma restriction is done to the present invention, although the present invention discloses as above with preferred embodiment, but and be not used to limit the present invention, any those skilled in the art, do not departing within the scope of technical solution of the present invention, make a little change when the technology contents of above-mentioned announcement can be utilized or be modified to the Equivalent embodiments of equivalent variations, in every case be do not depart from technical solution of the present invention content, according to technical spirit of the present invention, within the spirit and principles in the present invention, to any simple amendment that above embodiment is done, equivalent replacement and improvement etc., within the protection domain all still belonging to technical solution of the present invention.

Claims

1. diagnostic system on the line of a reinforced electric business model prediction, it is characterized in that, comprise background server group, diagnostic terminal and be arranged on the network of the foreground client computing machine composition in some enterprises, the corresponding foreground client computing machine of each enterprise, described background server group comprises database server and application server; Wherein said database server, the first diagnostic module and the first database is included in described database server, the first described database i.e. data source data storehouse, foreground queries module is included in described diagnostic terminal, with foreground processing module in described foreground client computing machine, described application server, includes second opinion module and the second database in described application server.

2. diagnostic system on the line of reinforced electric business model prediction according to claim 1, is characterized in that the second described database comprises product data sheet, transaction data table, marketing data sheet and branding data table.

3. diagnostic system on the line of reinforced electric business model prediction according to claim 1, it is characterized in that the first described diagnostic module is for the product by each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise is stored in the first database as a record, for inquiring enterprise name in record according to this enterprise name with consistent that record of the enterprise name in this query statement in the first database, and the data in this record are sent to diagnostic terminal process.

4. diagnostic system on the line of reinforced electric business model prediction according to claim 1, it is characterized in that described second opinion module for using the IP address of the foreground client computing machine in this instruction as destination address send allow transmission enterprise product, transaction, marketing and brand the instruction of information, for the information of the product of the enterprise received, transaction, marketing and brand being stored into respectively product data sheet, transaction data table, marketing data sheet and the branding data table in the second database, for diagnosing by Boston Matrix analytical approach, for the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise sends to described database server.

5., according to diagnostic system on the line of reinforced electric business model prediction according to claim 1, it is characterized in that described foreground queries module is for sending the querying command including enterprise name to data server.

6. the diagnostic method of diagnostic system on the line of reinforced electric business model prediction according to claim 1, it is characterized in that, step is as follows:

Step 7: the total weighted scoring TS asking for all enterprises again _n, TS _n=S ₁+ S ₂... ..+S _n; Ask for total weighted scoring mean value LS of all enterprises _n, LS _n=(S ₁+ S ₂... ..+S _n)/n; The weighted scoring mean value LS that the enterprise marketing asking for all enterprises increases _1n=(S ₁₁* W ₁₁+ S ₁₂* W ₁₂... ..+S _1n* W _1n)/n; The weighted scoring mean value LS that the enterprise marketing asking for all enterprises drops into _2n=(S ₂₁* W ₂₁+ S ₂₂* W ₂₂... ..+S _2n* W _2n)/n, wherein n is existing enterprise's number;

7. on the line of reinforced electric business model prediction according to claim 6, the diagnostic method of diagnostic system, is characterized in that described W _1ivalue be if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.5 with regard to value, if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.0 with regard to value; Described W _2ivalue be if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.5 with regard to value, if deposit sales achievement on line in the sales achievement of enterprise, W _2ibe 1.0 with regard to value.

8. on the line of reinforced electric business model prediction according to claim 6, the diagnostic method of diagnostic system, is characterized in that described enterprise information management present situation comprises the information belonging to ERP or CRM; Described electric commerce-change present situation comprises whether self-built platform, whether third-party platform, concrete belonging to the information of kind; Described line upper mounting plate situation comprises the information that platform drops into product margin on situation, output present situation and expection, line; Described product details comprise the technical advantage of each product, technology inferior position, attraction, Patent, life cycle; Described production efficiency comprises logistics time, the information of delivery date, after sale feedback time; Described sales region and shops's information comprise the information of shops's layout, field sales situation, shops's sales situation; Described product strategy planning comprises the content whether having present stage product strategy, product strategy to plan; Whether described product marketing strategic planning comprises has present stage to produce sheet marketing strategy, what marketing strategy is; The information of described current operation situation comprises stock information, studio rent information, other fees information, product average gross profit information, the average gross profit information of industry.