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Flow data processing method capable of realizing multi-dimensional free analysis

A technology of traffic data and processing method, which is applied in the field of Web traffic analysis and can solve unsolvable problems

Inactive Publication Date: 2010-08-11
BEIJING GRIDSUM TECH CO LTD
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  • Abstract
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Problems solved by technology

It seems that many dimensions of analysis are provided, but the dimensions are isolated, and all dimensions are based on all traffic data (of course, all the traffic data mentioned here, to be precise, should be within a certain period of time All traffic data of ) for analysis, at this time, customers can only see similar figure 1 Three reports shown in isolation
After customers get this report, they can only have a superficial understanding of their own traffic. If customers have more advanced needs and want to cross-analyze the reports, they want to analyze part of the data in one of the reports separately. For example, customer If you want to check the traffic from "Beijing" and "Guangdong" that comes through Google search, what keywords these visitors searched for, and what products each keyword finally purchased, then this type of tool cannot solve the problem. up

Method used

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  • Flow data processing method capable of realizing multi-dimensional free analysis
  • Flow data processing method capable of realizing multi-dimensional free analysis
  • Flow data processing method capable of realizing multi-dimensional free analysis

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Embodiment Construction

[0016] In order to realize multi-dimensional free analysis of traffic data, our WebDissector back-end system adopts OLAP (online analytical processing) technology to standardize the original traffic data and divide it into 6 categories accordingly, namely page access data and session access Data, visitor access data, advertising data, e-commerce data and mouse click data. The classified data are not isolated, but are related to a certain degree. The relationship diagram is as figure 2 Shown. The association between them is achieved through two core identifiers, one of which is the session identifier, which is used to group the data of the same session (we attribute the visits of the pages of the same visitor to the same session). Including advertising data, click data, etc. are stringed together; the other is a visitor identity identifier, which is used to uniquely identify a visitor. We use this identifier to string together a visitor's long-term visit data. All traffic data ...

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Abstract

The invention provides a flow data processing method capable of realizing multi-dimensional free analysis. OLAP (online analytical processing) technology is adopted to correspondingly classify original flow data and establish relevant association. Simultaneously, relevant association is also established between each classification of flow data and all dimensions, and all classified data share dimension data, so the multi-dimensional free analysis on the flow data can be realized by using multi-dimension to analyze the data layer by layer. A user can take any part of the flow data out in a report form, perform gradual free analysis by using a plurality of the dimensions and select the flow data continuously until a final desired data report is obtained.

Description

Technical field [0001] The present invention relates to Web traffic analysis, in particular to a traffic data processing method capable of realizing multi-dimensional free analysis. Background technique [0002] At present, the commonly used Web traffic analysis systems have built-in some commonly used reports, such as province reports, search engine reports, keyword reports, etc. These constitute the dimensions of data traffic, and the data processing method adopted is that each report only needs to One of the database tables can be aggregated. There is no correlation between the reports and the reports, so these reports are "static", that is, after the customer gets these reports, he cannot perform other operations. Even if he has questions about some of the data in the report, he can't do anything, because all analysis dimensions are for all traffic data, not some of the traffic data of a report. It seems to provide a lot of analysis dimensions, but the dimensions are isolate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 黄勇坚吴充杨基彬钟志龙祁国晟
Owner BEIJING GRIDSUM TECH CO LTD
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