Intelligent analysis method and system based on big data

Abstract

The invention discloses an intelligent analysis method and an intelligent analysis system based on big data. The system comprises a data acquisition and screening module, a data processing module, a data mining module, a data display module, a propagation fission graph module and an authority management module. The method comprises the steps of data acquisition and screening, data processing, datamining, data display, propagation fission and authority management. The method has the advantages that the method is simple; according to the method, the powerful processing capacity and large-scaledata storage capacity of the cloud computing technology are combined, massive user behavior data are analyzed in real time, user interests are obtained in time, enterprises can serve target users through data marketing means by means of the Internet and WeChat propagation and sharing, and the customer obtaining capacity and the sales efficiency are improved.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to an intelligent analysis method and system based on big data. Background technique [0002] With the increasing development of Internet platforms, today's Internet presents a platform-based and diversified environment. In the current Internet environment, many companies are faced with the confusion of difficult customer tracking, low conversion rate and low sales efficiency. How to reduce the loss of retained funds, increase customer acquisition channels, increase customer communication stickiness, and improve the success rate of signing orders is the most important thing for enterprises. issues that need attention. The traditional data report development efficiency is low, maintenance is difficult, the coding development cycle is long, and maintenance is difficult, especially many SaaS software on the market, facing many customers, cannot flexibly meet all customer n...

AI Technical Summary

Problems solved by technology

In the current Internet environment, many companies are facing the confusion of difficult customer tracking, low conversion rate, and low sales efficiency. How to reduce the loss of retained funds, increase customer acquisition channels, increase customer communication stickiness, and increase the success rate of signing orders is the most important task for enterprises. Issues that need attention

Traditional data report development is inefficient, difficult to maintain, long code development cycle, difficult to maintain, especially many SaaS software on the market, for many customers, unable to flexibly meet all customer needs

Images