CN110046926A - Electric quotient data analysis platform - Google Patents
Electric quotient data analysis platform Download PDFInfo
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- CN110046926A CN110046926A CN201811618139.7A CN201811618139A CN110046926A CN 110046926 A CN110046926 A CN 110046926A CN 201811618139 A CN201811618139 A CN 201811618139A CN 110046926 A CN110046926 A CN 110046926A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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Abstract
The invention discloses electric quotient data analysis platforms, it is analyzed including sales volume, it is characterized by: the sales volume analysis connection commercial analysis, the unexpectedly competing product analysis in shop, industry analysis and OA operation analysis, and it is connected with report casting, the commercial analysis includes article layout, listing rhythm, operation indicator, abnormal commodity, association sale, unexpectedly the competing product analysis in shop includes brand, unexpectedly shop and competing product, the industry analysis includes platform trend analysis, category analysis and crowd portrayal, and the OA operation analysis includes that new visitor's analysis, old visitor's analysis and flow are retained；The management platform of data service of the present invention allows electric business platform data to analyze simpler, quicker, an easy-to-use, efficient, intelligent integration platform.
Description
Technical field
The invention belongs to electric quotient data analysis technical fields, and in particular to electric quotient data analysis platform.
Background technique
After user has buying behavior on e-commerce website, just become the value visitor of website from potential customers
Family.E-commerce website generally all can be by the Transaction Information of user, including time buying, purchase commodity, quantity purchase, payment gold
The information preservations such as volume inside the database of oneself, so for these clients we can the operation data based on website to him
Trading activity analyzed, to estimate the value of every client, and a possibility that market for the extension of every client.
When in use, the excessively cumbersome problem of process is thus it is proposed that electric for existing electric quotient data analysis platform
Quotient data analysis platform.
Summary of the invention
The purpose of the present invention is to provide electric quotient data analysis platforms, mentioned above in the background art existing to solve
Electric quotient data analysis platform when in use, the excessively cumbersome problem of process.
To achieve the above object, the invention provides the following technical scheme: electric quotient data analysis platform, including sales volume are divided
Analysis, it is characterised in that: the sales volume analysis connection commercial analysis, the unexpectedly competing product analysis in shop, industry analysis and OA operation analysis, and even
It is connected to report casting, the commercial analysis includes article layout, listing rhythm, operation indicator, abnormal commodity, is associated with sale, unexpectedly
The competing product analysis in shop includes brand, unexpectedly shop and competing product, and the industry analysis includes that platform trend analysis, category analysis and crowd draw
Picture, the OA operation analysis include that new visitor's analysis, old visitor's analysis and flow are retained.
Preferably, the competing product in the shop unexpectedly analysis brand is divided into population comparisons, brand viscosity, brand advantage, brand are moved
Make etc., shop is divided into commodity composition, activity monitoring, flow structure etc. unexpectedly.
Preferably, the category is divided into flow transaction index, price zone, heat and searches word, Commodity Competition degree etc. and gone
Industry analysis.
Preferably, the OA operation analysis such as day cat, new objective analysis, old visitor are divided into the retention of user, structure, newly-increased use
Family is lost user, search flow, movable flow etc., is converted after analysis, and flow, which is retained, places an order, pays and receives, to be converted etc.
Analysis.
Preferably, the report casting is divided into daily paper, weekly and monthly magazine.
Preferably, the OA operation analysis further includes analyzing head store visitor, and head store visitor, which is divided into, not to be bought in head store
With browse and buy, head store purchase analysis it is promising collection plus purchase be lost, have plus purchase and have collection, browse and buy to non-
Classification is bought to be lost and without the behavior of loss purchase.
Preferably, the OA operation analysis further includes flow structure analysis, and flow structure analysis includes the end PC and wireless side
Analysis.
Compared with prior art, the beneficial effects of the present invention are:
(1) the management platform of data service of the present invention makes the analysis of electric business platform data simpler, quicker, one it is easy-to-use,
Efficiently, intelligent integration platform.
(2) various algorithms and technology are provided, the distributed algorithm and model of optimization are provided.Data acquisition, analysis, excavation,
The one-stop solution showed.Data application development platform, lifecycle management data, avoids overlapping investment, in conjunction with quotient
Industry technology can quickly establish predictive models, and then be applied in business activity, help businessman to improve decision process, according to meter
It draws and insight and prediction model is effectively perhaps deployed in system or is sent to policymaker in real time.
Detailed description of the invention
Fig. 1 is electric quotient data analysis platform circuit theory schematic diagram of the invention；
Fig. 2 is that head store visitor of the invention analyzes structural schematic diagram；
Fig. 3 is flow analysis structural schematic diagram of the invention；
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1-3 is please referred to, the present invention provides a kind of technical solution: electric quotient data analysis platform, including sales volume analysis,
It is characterized in that: sales volume analysis connection commercial analysis, the unexpectedly competing product analysis in shop, industry analysis and OA operation analysis, and it is connected with report
Casting, commercial analysis include article layout, listing rhythm, operation indicator, abnormal commodity, are associated with sale, unexpectedly the competing product analysis bag in shop
Brand, unexpectedly shop and competing product are included, industry analysis includes platform trend analysis, category analysis and crowd portrayal, and OA operation analysis includes new
Visitor's analysis, old visitor's analysis and flow are retained.
In the present embodiment, it is preferred that unexpectedly the competing product in shop analysis brand be divided into population comparisons, brand viscosity, brand advantage,
Brand movement etc., shop is divided into commodity composition, activity monitoring, flow structure etc. unexpectedly.
In the present embodiment, it is preferred that category is divided into flow transaction index, price zone, heat and searches word, Commodity Competition degree etc.
Industry analysis is carried out,.
In the present embodiment, it is preferred that OA operation analysis such as day cat, new visitor's analysis, old visitor are divided into the retention of user, knot
Structure Adds User, is lost user, search flow, movable flow etc., is converted after analysis, flow retain, place an order, paying and
Conversion etc. of receiving is analyzed.
In the present embodiment, it is preferred that report casting is divided into daily paper, weekly and monthly magazine.
In the present embodiment, it is preferred that OA operation analysis further includes analyzing head store visitor, and head store visitor is divided into not at this
Shop buy and browse and buys, head store purchase analysis it is promising collection plus purchase be lost, have plus purchase and have collection, browse and buy
To non-purchase classification be lost and without be lost behavior purchase.
In the present embodiment, it is preferred that OA operation analysis further includes flow structure analysis, and flow structure analysis includes the end PC and nothing
The analysis of line end.
The working principle of the invention and process for using: pass through commercial analysis, the unexpectedly competing product analysis in shop, industry analysis and operation point
Analysis, classifies to electric quotient data, then calculate to sales volume by the single calculation of visitor's number * conversion ratio * visitor and divide
Analysis, and electric quotient data analysis platform of the present invention provides various algorithms and technology, provides the distributed algorithm and model of optimization.Data
The one-stop solution obtain, analyze, excavate, showed.Data application development platform, lifecycle management data, avoids
Overlapping investment can quickly establish predictive models in conjunction with commercial technology, and then be applied in business activity, and businessman is helped to improve
Decision process is perhaps effectively deployed in system or is sent to decision insight and prediction model in real time according to schedule
Person.
Industry analysis includes: industry deep bid data；Industry category conclusion of the business overview；Industry fast sale trend: search increases single-item
Analysis, search increase attributive analysis；Industry searches for crowd portrayal: gender, occupation, purchasing power, age, provinces and cities' distribution, activity are partially
Good, payment preferences, Brang Preference；Industry buyer portrait: gender, occupation, age, Taobao's membership grade, provinces and cities' distribution, search term
Preference, item property preference, purchasing power, the purchase frequency.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (7)
1. electric quotient data analysis platform, including sales volume analysis, it is characterised in that: the sales volume analysis connection commercial analysis,
Unexpectedly the analysis of the competing product in shop, industry analysis and OA operation analysis, and be connected with report casting, the commercial analysis include article layout, on
City's rhythm, operation indicator, abnormal commodity, association sale, the competing product analysis in shop unexpectedly includes brand, unexpectedly shop and competing product, the industry point
Analysis includes platform trend analysis, category analysis and crowd portrayal, and the OA operation analysis includes new visitor's analysis, old visitor's analysis and flow
It retains.
2. electric quotient data analysis platform according to claim 1, it is characterised in that: the competing product analysis brand analysis in shop unexpectedly
It is divided into population comparisons, brand viscosity, brand advantage, brand movement etc., shop is divided into commodity composition, activity monitoring, flow unexpectedly
Structure etc..
3. electric quotient data analysis platform according to claim 1, it is characterised in that: the category is divided into flow transaction
Index, price zone, heat search word, Commodity Competition degree etc. and carry out industry analysis.
4. electric quotient data analysis platform according to claim 1, it is characterised in that: the OA operation analysis such as day cat, new visitor
Analysis, old visitor are divided into the retention of user, structure, Add User, be lost user, search for flow, activity flow etc., after analysis
Converted, flow retain, place an order, pay and receive conversion etc. analysis.
5. electric quotient data analysis platform according to claim 1, it is characterised in that: the report casting is divided into daily paper, week
Report and monthly magazine.
6. electric quotient data analysis platform according to claim 1, it is characterised in that: the OA operation analysis further includes to head store
Visitor analyzes, and head store visitor, which is divided into, not to be bought and browse and buy in head store, does not add in the promising collection of head store purchase analysis
Purchase is lost, has plus purchase and have collection, browses and that buys buys to the loss of non-purchase classification and without loss behavior.
7. electric quotient data analysis platform according to claim 1, it is characterised in that: the OA operation analysis further includes flow knot
Structure analysis, flow structure analysis include the analysis at the end PC and wireless side.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811618139.7A CN110046926A (en) | 2018-12-28 | 2018-12-28 | Electric quotient data analysis platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811618139.7A CN110046926A (en) | 2018-12-28 | 2018-12-28 | Electric quotient data analysis platform |
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| Publication Number | Publication Date |
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| CN110046926A true CN110046926A (en) | 2019-07-23 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201811618139.7A Pending CN110046926A (en) | 2018-12-28 | 2018-12-28 | Electric quotient data analysis platform |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110533486A (en) * | 2019-09-06 | 2019-12-03 | 江苏物联网研究发展中心 | A kind of big data analysis method based on electric business platform |
| CN111127100A (en) * | 2019-12-24 | 2020-05-08 | 苏州万豪信息技术有限公司 | Data analysis method for electronic commerce operation |
| CN112270573A (en) * | 2020-11-04 | 2021-01-26 | 广州市原象信息科技有限公司 | Consumption trend analysis method for service industry based on T-4C analysis framework |
| CN113674025A (en) * | 2021-08-20 | 2021-11-19 | 青岛汇铭信息技术有限公司 | Commodity sales volume and bargain amount statistical monitoring method for e-commerce platform |
| CN113781106A (en) * | 2021-08-26 | 2021-12-10 | 唯品会(广州)软件有限公司 | Commodity operation data analysis method, device, equipment and computer readable medium |
| DE202022100697U1 (en) | 2022-02-07 | 2022-02-17 | Ganesh Agnihotri | Intelligent hybrid management system to predict e-commerce user churn in e-commerce using data mining and deep learning |
-
2018
- 2018-12-28 CN CN201811618139.7A patent/CN110046926A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110533486A (en) * | 2019-09-06 | 2019-12-03 | 江苏物联网研究发展中心 | A kind of big data analysis method based on electric business platform |
| CN111127100A (en) * | 2019-12-24 | 2020-05-08 | 苏州万豪信息技术有限公司 | Data analysis method for electronic commerce operation |
| CN112270573A (en) * | 2020-11-04 | 2021-01-26 | 广州市原象信息科技有限公司 | Consumption trend analysis method for service industry based on T-4C analysis framework |
| CN113674025A (en) * | 2021-08-20 | 2021-11-19 | 青岛汇铭信息技术有限公司 | Commodity sales volume and bargain amount statistical monitoring method for e-commerce platform |
| CN113781106A (en) * | 2021-08-26 | 2021-12-10 | 唯品会(广州)软件有限公司 | Commodity operation data analysis method, device, equipment and computer readable medium |
| CN113781106B (en) * | 2021-08-26 | 2023-11-21 | 唯品会(广州)软件有限公司 | Commodity operation data analysis method, device, equipment and computer readable medium |
| DE202022100697U1 (en) | 2022-02-07 | 2022-02-17 | Ganesh Agnihotri | Intelligent hybrid management system to predict e-commerce user churn in e-commerce using data mining and deep learning |
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Application publication date: 20190723 |