CN113240455A - Internet-based e-commerce platform data analysis decision-making system - Google Patents
Internet-based e-commerce platform data analysis decision-making system Download PDFInfo
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- CN113240455A CN113240455A CN202110442446.XA CN202110442446A CN113240455A CN 113240455 A CN113240455 A CN 113240455A CN 202110442446 A CN202110442446 A CN 202110442446A CN 113240455 A CN113240455 A CN 113240455A
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
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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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
Abstract
The invention discloses an internet-based e-commerce platform data analysis decision-making system, which comprises a data collection module, a data preprocessing module, a data storage module, a result feedback module, a result visualization display module, a correction module and a data index evaluation module. The data analysis method and the data analysis system perform data analysis on browsing and shopping information of the user in the e-commerce platform, then perform targeted pushing on the user according to the analysis result, and then perform deviation correction on the data analysis result with low matching degree according to the acceptance of the user to the pushing, thereby effectively improving the accuracy of the data analysis system, enabling the user to shop more conveniently and quickly, and further being more satisfied with the e-commerce platform.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a data decision analysis system in the Internet.
Background
Compared with the traditional retail industry, the electronic commerce has the greatest characteristic that all the electronic commerce can be monitored and improved through data. The data shows the question of where the user came from, how to organize the product to achieve good conversion rates, how efficiently you can place advertisements, etc. Each point change based on data analysis is a point to a point improvement of the ability of making money, so the data analysis of the e-commerce website is very important.
After a user purchases an e-commerce website, the potential customers become value customers of the website. The electronic commerce website generally stores transaction information of users, including time of purchase, goods purchased, quantity of purchase, payment amount and the like, in a database of the electronic commerce website, so that for the clients, the transaction behaviors of the clients can be analyzed based on operation data of the website to estimate the value of each client and the possibility of expanded marketing for each client. But often have low pertinence, resulting in low transaction success rate.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an internet-based e-commerce platform data analysis decision-making system, which is used for carrying out data analysis on browsing and shopping information of a user in an e-commerce platform, then carrying out targeted pushing on the user according to an analysis result, and then carrying out deviation correction on a data analysis result with low matching degree according to the acceptance of the user to pushing, so that the accuracy of the data analysis system is effectively improved, the shopping of the user is more convenient and rapid, and the e-commerce platform is satisfied.
The invention adopts the following technical scheme for solving the technical problems:
the invention provides an internet-based e-commerce platform data analysis decision-making system, which comprises
A data collection module: collecting user data of each sub-platform in real time from the Internet, wherein the user data comprises transaction habits of users, including purchase time, purchased commodities, purchase quantity and payment amount;
a data preprocessing module: carrying out format conversion, auditing and summarization on the collected user information, and carrying out simple primary processing on the collected user data;
a data storage module: all data of the data processing module are stored in a hard disk and are periodically uploaded to a cloud disk or a network disk for storage, so that data loss is prevented;
a data analysis module: the system comprises a visual analysis unit, a data mining unit, a predictive analysis unit, a semantic analysis engine unit and a data quality management unit, wherein the visual analysis unit is used for carrying out visual processing on data, the data visualization mainly aims at clearly and effectively transmitting and communicating information by means of a graphical means, and the data mining unit is an independent product for predictive analysis and can calculate statistically stored data so as to provide predictive intelligence;
a result feedback module: classifying and summarizing data analysis results, and feeding back the data analysis results to the equipment terminal;
and a result visualization display module: inquiring the dimension required to be presented according to the requirement of the user on displaying the dimension, excavating corresponding data from the data storage system as feedback, and carrying out visual display on the processing result of the feedback;
a correction module: the deviation correction is carried out on the data analysis result with low matching degree according to the acceptance degree of the user to push, so that the accuracy of the data analysis system is improved;
the data index evaluation module: and evaluating and optimizing the website operation index, the operation environment index, the sales performance index, the operation activity index and the customer value index at regular intervals.
Further, the data storage module comprises a computer and an information input unit, the information input unit comprises a keyboard, a mouse and an electronic writing board, and the information output interface supports one or a combination of the following interfaces: universal serial interface, computer serial port, computer parallel port, PCMCIA interface, P step/2 interface, wireless communication interface and infrared communication interface.
Further, the data visualization of the data visualization unit comprises two main components: statistical graphs and thematic maps, data visualization can utilize graphics, image processing, computer vision, and user interfaces to interpret data visually through expression, modeling, and display of stereo, surface, attributes, and animations.
Further, the website operation indexes comprise a website flow index, a commodity category index and a supply chain index;
wherein the customer value indicators include historical value: past consumption;
potential value: mainly considering user behaviors, the RFM model is a main measurement basis;
additional value: mainly from the aspects of user loyalty and public praise promotion.
Further, the storage module comprises a storage unit and an encryption unit; the encryption unit is used for carrying out encryption processing on the data information of the data processing module and forming an encrypted data signal.
The semantic analysis engine unit comprises text error correction, emotion tendency analysis, comment viewpoint extraction, conversation emotion identification, article labels, article classification and news summarization, can sequentially identify error segments in the text, carries out error prompt and gives out, carries out emotion acute judgment on the text containing supervisor information, automatically analyzes user comments, outputs comment viewpoints and emotion polarities, automatically detects emotion characteristics contained in daily conversation texts of users, automatically classifies the articles according to content types, carries out core keyword analysis on the articles, and automatically extracts key information in the news texts.
Furthermore, the pushing module is connected with the result feedback module, and carries out targeted pushing on the user in the form of mails, telephones and popup advertisements according to the data analysis result.
Further, the format conversion unit converts the metadata into a grammar that can be recognized by the data analysis module; the grammar is an HQL-based query language.
Compared with the prior art, the invention adopting the technical scheme has the following technical effects:
firstly, complex real-time internet network big data are processed through the big data, and the processing result is concise, efficient and visual;
the data output from the transaction module is regularly stored, the visual analysis module, the data mining module, the predictive analysis engine, the semantic analysis engine and the data quality management module are uniformly set as the data analysis module, the data mining module is matched with the graphical means, and the predictive analysis engine and the semantic analysis engine are combined to perform comprehensive ductility processing on the data which is counted and stored, so that the effective information monitoring can be performed on the multi-field electronic commerce activity information, and the transparency of data analysis is improved;
thirdly, the data collection module, the data processing module, the storage module, the data analysis module, the result feedback module, the pushing module, the correction module and the data index evaluation module are matched to perform data analysis on browsing and shopping information of the user in the e-commerce platform, then the user is pushed in a targeted manner according to the analysis result, and then the data analysis result with low matching degree is subjected to deviation correction according to the acceptance degree of the user on pushing, so that the accuracy of the data analysis system is effectively improved, the user can shop more conveniently and quickly, and further the e-commerce platform is satisfied.
Drawings
FIG. 1 is a schematic diagram of the principles of the present invention;
the system comprises a data collection module 1, a data preprocessing module 2, a data storage module 3, a result feedback module 4, a result visualization display module 5, a correction module 6 and a data index evaluation module 7.
Detailed Description
The technical solution of the present invention is further described in detail with reference to the following specific examples.
Example (b): an Internet-based e-commerce platform data analysis and decision system comprises
A data collection module: collecting user data of each sub-platform in real time from the Internet, wherein the user data comprises transaction habits of users, including purchase time, purchased commodities, purchase quantity and payment amount;
a data preprocessing module: carrying out format conversion, auditing and summarization on the collected user information, and carrying out simple primary processing on the collected user data;
a data storage module: all data of the data processing module are stored in a hard disk and are periodically uploaded to a cloud disk or a network disk for storage, so that data loss is prevented;
a data analysis module: the system comprises a visual analysis unit, a data mining unit, a predictive analysis unit, a semantic analysis engine unit and a data quality management unit, wherein the visual analysis unit is used for carrying out visual processing on data, the data visualization mainly aims at clearly and effectively transmitting and communicating information by means of a graphical means, and the data mining unit is an independent product for predictive analysis and can calculate statistically stored data so as to provide predictive intelligence;
a result feedback module: classifying and summarizing data analysis results, and feeding back the data analysis results to the equipment terminal;
and a result visualization display module: inquiring the dimension required to be presented according to the requirement of the user on displaying the dimension, excavating corresponding data from the data storage system as feedback, and carrying out visual display on the processing result of the feedback;
a correction module: the deviation correction is carried out on the data analysis result with low matching degree according to the acceptance degree of the user to push, so that the accuracy of the data analysis system is improved;
the data index evaluation module: and evaluating and optimizing the website operation index, the operation environment index, the sales performance index, the operation activity index and the customer value index at regular intervals.
In this embodiment, the data storage module includes a computer and an information input unit, the information input unit includes a keyboard, a mouse, and an electronic writing board, and the information output interface supports one or a combination of the following interfaces: universal serial interface, computer serial port, computer parallel port, PCMCIA interface, P step/2 interface, wireless communication interface and infrared communication interface.
In this embodiment, the data visualization of the data visualization unit includes two main components: statistical graphs and thematic maps, data visualization can utilize graphics, image processing, computer vision, and user interfaces to interpret data visually through expression, modeling, and display of stereo, surface, attributes, and animations.
In this embodiment, the website operation index includes a website traffic index, a commodity category index, and a supply chain index;
wherein the customer value indicators include historical value: past consumption;
potential value: mainly considering user behaviors, the RFM model is a main measurement basis;
additional value: mainly from the aspects of user loyalty and public praise promotion.
In this embodiment, the storage module includes a storage unit and an encryption unit; the encryption unit is used for carrying out encryption processing on the data information of the data processing module and forming an encrypted data signal.
In this embodiment, the semantic analysis engine unit includes text error correction, emotion tendency analysis, comment viewpoint extraction, conversational emotion recognition, article labels, article classification, and news summarization, and may sequentially recognize error segments in a text, perform error prompt and give an error, perform acute emotion judgment on a text containing supervisor information, automatically analyze user comments, output comment viewpoints and emotion polarities, automatically detect emotional features included in a user daily conversational text, automatically classify an article according to content types, perform core keyword analysis on the article, and automatically extract key information in a news text.
In this embodiment, the push module is connected to the result feedback module, and performs targeted push on the user in the form of mail, telephone, pop-up window advertisement according to the data analysis result.
In this embodiment, the format conversion unit converts the metadata into a grammar that can be recognized by the data analysis module; the grammar is an HQL-based query language.
The working principle and the working process of the invention are as follows:
the working steps of the system are as follows: step 1, tracking related browsing and shopping information of a user on each sub-platform, and collecting related user data; step 2, carrying out format conversion, auditing and summarization on the collected user information; step 3, encrypting all data of the data processing module, storing the encrypted data to a hard disk, and periodically uploading the encrypted data to a network disk or a cloud disk backup; step 4, extracting effective data from the storage module, decrypting the effective data, inputting the decrypted effective data into a data analysis model, selecting a corresponding analysis method to perform statistical analysis on the data, and classifying and summarizing data analysis results; step 5, classifying and summarizing data analysis results, and feeding back the data analysis results to the equipment terminal; step 6, carrying out targeted pushing on the user in the form of mails, telephones and popup advertisements according to the data analysis result; step 7, performing deviation correction on the data analysis result with low matching degree according to the acceptance of the user to push, and improving the accuracy of the data analysis system; and 8, evaluating and optimizing the website operation index, the operation environment index, the sales performance index, the operation activity index and the customer value index regularly, providing historical data and basis for next data analysis, and improving the accuracy of the next data analysis.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can understand that the modifications or substitutions within the technical scope of the present invention are included in the scope of the present invention, and therefore, the scope of the present invention should be subject to the protection scope of the claims.
Claims (8)
1. An electronic commerce platform data analysis decision-making system based on the internet is characterized by comprising
A data collection module: collecting user data of each sub-platform in real time from the Internet, wherein the user data comprises transaction habits of users, including purchase time, purchased commodities, purchase quantity and payment amount;
a data preprocessing module: carrying out format conversion, auditing and summarization on the collected user information, and carrying out simple primary processing on the collected user data;
a data storage module: all data of the data processing module are stored in a hard disk and are periodically uploaded to a cloud disk or a network disk for storage, so that data loss is prevented;
a data analysis module: the system comprises a visual analysis unit, a data mining unit, a predictive analysis unit, a semantic analysis engine unit and a data quality management unit, wherein the visual analysis unit is used for carrying out visual processing on data, the data visualization mainly aims at clearly and effectively transmitting and communicating information by means of a graphical means, and the data mining unit is an independent product for predictive analysis and can calculate statistically stored data so as to provide predictive intelligence;
a result feedback module: classifying and summarizing data analysis results, and feeding back the data analysis results to the equipment terminal;
and a result visualization display module: inquiring the dimension required to be presented according to the requirement of the user on displaying the dimension, excavating corresponding data from the data storage system as feedback, and carrying out visual display on the processing result of the feedback;
a correction module: the deviation correction is carried out on the data analysis result with low matching degree according to the acceptance degree of the user to push, so that the accuracy of the data analysis system is improved;
the data index evaluation module: and evaluating and optimizing the website operation index, the operation environment index, the sales performance index, the operation activity index and the customer value index at regular intervals.
2. The internet-based e-commerce platform data analysis and decision making system of claim 1, wherein the data storage module comprises a computer and an information input unit, the information input unit comprises a keyboard, a mouse and an electronic writing board, and the information output interface supports one or a combination of the following interfaces: universal serial interface, computer serial port, computer parallel port, PCMCIA interface, P step/2 interface, wireless communication interface and infrared communication interface.
3. The internet-based e-commerce platform data analysis and decision making system of claim 1, wherein the data visualization of the data visualization unit comprises two main components: statistical graphs and thematic maps, data visualization can utilize graphics, image processing, computer vision, and user interfaces to interpret data visually through expression, modeling, and display of stereo, surface, attributes, and animations.
4. The internet-based e-commerce platform data analysis and decision system of claim 1, wherein the website operation metrics include website traffic metrics, commodity category metrics and supply chain metrics;
wherein the customer value indicators include historical value: past consumption;
potential value: mainly considering user behaviors, the RFM model is a main measurement basis;
additional value: mainly from the aspects of user loyalty and public praise promotion.
5. The internet-based e-commerce platform data analysis and decision making system of claim 1, wherein the storage module comprises a storage unit and an encryption unit; the encryption unit is used for carrying out encryption processing on the data information of the data processing module and forming an encrypted data signal.
6. The internet-based e-commerce platform data analysis and decision making system of claim 1, wherein the semantic analysis engine unit comprises text error correction, emotional tendency analysis, comment viewpoint extraction, conversational emotion recognition, article labeling, article classification and news summarization, can sequentially recognize error segments in a text, prompt and give errors, perform emotional acute judgment on the text containing the supervisor information, automatically analyze user comments, output comment viewpoints and emotional polarities, automatically detect emotional features contained in the user daily conversational text, automatically classify the articles according to content types, perform core keyword analysis on the articles, and automatically extract key information in the news text.
7. The internet-based e-commerce platform data analysis and decision making system of claim 1, wherein the pushing module is connected with the result feedback module, and the user is pushed with a target according to the data analysis result in the form of mail, telephone, pop-up window advertisement.
8. The internet-based e-commerce platform data analysis decision making system of claim 1, wherein the format conversion unit converts the metadata into a grammar that can be recognized by the data analysis module; the grammar is an HQL-based query language.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115796924A (en) * | 2023-01-31 | 2023-03-14 | 武汉亿诚同创科技有限公司 | Cloud platform e-commerce data processing method and system based on big data |
| CN116976884A (en) * | 2023-08-06 | 2023-10-31 | 唐山骅驰科技有限责任公司 | Transaction data processing method based on cloud storage and NFC |
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- 2021-04-23 CN CN202110442446.XA patent/CN113240455A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115796924A (en) * | 2023-01-31 | 2023-03-14 | 武汉亿诚同创科技有限公司 | Cloud platform e-commerce data processing method and system based on big data |
| CN116976884A (en) * | 2023-08-06 | 2023-10-31 | 唐山骅驰科技有限责任公司 | Transaction data processing method based on cloud storage and NFC |
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