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What are the 3 most commonly used data analysis tools?

The 3 most commonly used data analysis tools are as follows:

1, Sematic Software Smartbi

Sematic Software Smartbi is a professional BI tool, based on a unified architecture to achieve data collection, query, reporting, self-service analysis, multi-dimensional analysis, mobile analysis, dashboards, data mining, and other auxiliary functions, and has an analysis of the report, combined with the AI It also has features such as analyzing reports and combining AI with voice analysis. With more than ten years of development history, it is the most comprehensive, mature and stable product in domestic BI software. Widely used in finance, government, telecommunications, enterprises and institutions. Perfect online documents and teaching videos, easy to operate and easy to start.

2, MineSet

MineSet is a multi-task data mining system jointly developed by SGI and the University of Standford in the U.S. MineSet integrates a variety of data mining algorithms and visualization tools, to help users intuitively, real-time discovery, understanding of the knowledge behind a large amount of data.

3, QUEST

QUEST is a multitasking data mining system developed by IBM's Almaden Research Center, his purpose is to provide efficient data mining basic building blocks for the development of a new generation of decision support system applications.

Data analysis tools are not reliable, to try Smartbi, Sematic Software Smartbi after years of continuous independent research and development, the cohesion of a large number of business intelligence best practices, the integration of the data analysis of various industries and decision-making support functional requirements. To meet the end user 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.