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What are some common big data analytics models in big data analytics?

What are the common data analysis models?

1, behavioral event analysis: behavioral event analysis has a powerful screening, grouping and aggregation capabilities, clear logic and simple to use, has been widely used.

2, funnel analysis model: funnel analysis is a set of process analysis, it can scientifically reflect the state of user behavior and from the starting point to the end of the various stages of the user conversion rate of the important analysis model.

3, retention analysis model retention analysis is a kind of analysis model used to analyze the user participation/activity, to examine the initial behavior of the user, how many people will carry out subsequent behavior. This is an important method used to measure the value of the product to the user.

4, distribution analysis model distribution analysis is the user in a particular indicator of frequency, total amount of categorization show.

5, click analysis model that is the application of a special brightness of the color form, showing the page or page group area of different elements in the point of click on the density of the icon.

6, user behavior path analysis model user path analysis, as the name suggests, the user's access behavior path in the APP or website. In order to measure the effect of website optimization or the effect of marketing and promotion, as well as to understand the user behavioral preferences, from time to time to analyze the conversion data of the access path.

7, user subgroup analysis model user subgroups that user information labeling, through the user's history of behavioral path, behavioral characteristics, preferences and other attributes, will have the same attributes of the user is divided into a group, and subsequent analysis.

8. Attribute analysis model classifies and statistically analyzes users based on their own attributes, such as viewing trends in the number of users over time of registration, provinces, and other distribution.