Data intelligent analysis visualization system and method

Abstract

The invention discloses a data intelligent analysis visualization system and method. The system comprises a data transmission module, a database visualization module, a report design module, an intelligent interaction analysis module, a data structure feedback module and a data visualization display screen module. The system is reasonable in design, sorting can be carried out based on query results, sorting is carried out based on dimensions of the system, sorting is carried out on dimensions based on sizes of summary indexes, sorting is carried out based on formula values, and data results are sent to a data visualization display screen through a multi-dimensional analysis unit and a drilling analysis unit. On the basis of an overall big data architecture, step-by-step data drilling and computational analysis are carried out through a drilling analysis unit to obtain corresponding underlying data, results of various single tables are selected and placed in the same area through a result splicing mode, formula operation and display are carried out according to the results, and multiple complex tables are obtained; report links can be established for combination and association to obtain various associated reports.

Description

technical field [0001] The invention relates to a visualization system and method, in particular to a data intelligent analysis visualization system and method. Background technique [0002] Business intelligence is to use data warehouse and data mining technology to store and manage data systematically, and analyze it through various data statistical analysis tools to provide various analysis reports, such as customer value evaluation, customer satisfaction evaluation, service quality evaluation, Marketing effect evaluation and future market demand, etc., and then provide decision-making information for the business activities of various industries in the market. [0003] It is also difficult to analyze the past performance of various industries in the market, understand the current situation of various industries in the market and predict the future development path. Even though there are a large number of business reports in various industries in the market in the early s...

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Problems solved by technology

[0003] It is also difficult to analyze the past performance of various industries in the market, understand the current situation of various industries in the market and predict the future development path. Even though there are a large number of business reports in various industries in the market in the early stage, there is no way to provide effective support for decision-making. High-level decision-making Not only can they not guide decision-making through the key performance of various industries in the market, but also the report requirements will continue to change, and the report development cycle is long, the statistical caliber is not the same, and limited by the display form of the report, it is impossible to make a humanized report

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