Currently on the market data analysis software is increasing day by day, uneven, different BI software has different functional characteristics:

One, big data collection: data analysis software needs to have a strong data collection capabilities, the software program should have the ability to define the data, access to the data, forward the data, manipulate the data, and store the data. Data collection is a prerequisite for data analysis, automatic visualization of the convenient interface and a variety of data collection methods, in the user operation to obtain data is particularly important.

Two, data processing: data processing refers to the business system data after extraction, cleaning and conversion loaded into the data warehouse process, the purpose is to the enterprise scattered, fragmented, standardized data integration together, to provide analysis for business decision-making basis. Data processing is an important part of the BI project. Typically, data processing in a BI project will spend at least 1/3 of the time of the entire project.

Three, intelligent data-based analysis: intelligent data-based analysis will be one of the important competitiveness of BI software, is the collection of big data, data processing after the final results. Through people's analysis of the trend of things, only more accurate data analysis, in order to find its inherent laws, so as to achieve the strategic deployment of enterprises.

Data analysis tools are not reliable, to try Smartbi, Sematic Software Smartbi after years of continuous independent research and development, cohesion of a large number of business intelligence best practices, integrated with the data analysis of various industries and decision-making support functional requirements. To meet the end-users in the enterprise-level reporting, data visualization and analysis, self-service exploration and analysis, data mining modeling, AI intelligent analysis and other big data analysis needs.