User portrait analysis system supporting custom label

Abstract

The invention discloses a user portrait analysis system supporting a custom label. The user portrait analysis system comprises a source data layer and a storage layer for storing original service data, a data analysis layer which is used for analyzing and processing the original business data according to a label / index configured by a user in a user-defined manner and loading an analysis result toa data warehouse and a data application module for displaying and applying the data; and a data product end which is developed by a user on the basis of a data analysis layer to realize data statistics and display analysis. According to the invention, an existing big data technology framework is deeply integrated, and a standard integrated interface API is provided for the outside, so that the selection and integration work of the technology framework in the system research and development process is reduced, and the system is easily integrated into an existing system; meanwhile, various dataprocessing assemblies and flexible and configurable tagged data analysis schemes can be provided, the system can be rapidly applied to related big data analysis scenes, and continuously changing dataanalysis indexes can be rapidly responded.

Description

technical field [0001] The invention relates to a user portrait analysis system supporting self-defined tags, belonging to the technical field of data analysis. Background technique [0002] After the Internet entered the era of big data, user behavior has brought a series of changes and reshaping to the products and services of enterprises. The biggest change is that all user behaviors are "traceable" and "analyzable" in front of enterprises. "Yes, a large amount of original data and various business data are stored in the enterprise, which is the true record of the enterprise's business activities. How to use these data more effectively for analysis and evaluation has become a problem for enterprises based on the background of larger data volumes. With the in-depth research and application of big data technology, enterprises are increasingly focusing on how to use big data to serve refined operations and precise marketing. To do refined operations, the first thing is to es...

AI Technical Summary

Problems solved by technology

[0005] 1. To complete the same function, there are often many similar frameworks or technologies, and R&D personnel need to spend time conducting research, comparison and trial and error;

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