Public information intelligent analysis platform based on big data analysis and mining

Abstract

The invention provides a public information intelligent analysis platform based on big data analysis and mining. The public information intelligent analysis platform comprises a big data preprocessing module, an intelligent analysis module and an information presentation module. The big data preprocessing module is used for storing and preprocessing enterprise information via a clouded mode. The intelligent analysis module is used for performing event cause and effect analysis, assessment of the overall situation of the company and future trend prediction and returning analysis results to an upper layer by comprehensively utilizing the preprocessed data according to data analysis tasks transmitted by the upper layer. The information presentation module is used for generating the data analysis tasks to the intelligent business analysis module and receiving the returned results, presenting the analysis results of the intelligent analysis module and providing an operation interface to a user. Intelligent analysis is performed on mass data in enterprise operation by adopting a clustered computing method via flexibly establishing and configuring analysis models so that problems of poor real-time performance, high effectiveness and interactivity of a conventional data processing method are solved, the user is assisted to perceive the enterprise situation in real time and thus enterprise management efficiency and business processing level are enhanced.

Description

technical field [0001] The invention relates to the field of big data information processing, in particular to an intelligent public information analysis platform based on big data analysis and mining. Background technique [0002] Big data is a very large and complex data set with 4V characteristics, one is the huge volume of data (Volume) and continues to increase rapidly; the other is the data input and output stream with high speed (Velocity); the third is the data type and source Variety; Fourth, low value density. [0003] Most enterprises, especially large enterprises and listed companies, generate massive amounts of business and operational data every day, so it is necessary to process these information data in a timely and efficient manner. Among them, there are various types of information data (Variety), large scale (Volume), and high requirements on the input and processing speed of information data (Velocity). Information data contains rich information and kno...

AI Technical Summary

Problems solved by technology

[0004] In the context of huge and rapidly increasing data volume in enterprises (especially large state-owned enterprises and large listed enterprises), and the increasingly complex daily business analysis requirements, the data combing process and information mining process of enterprise status analysis and evaluation work are very complicated, and the data The speed, dimension, and fineness of display are high, and the real-time, high efficiency, and interactivity of traditional data processing methods can no longer meet the needs of enterprise big data analysis

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