There are a plethora of powerful visualization tools available today for expressing ideas, visualizing data, and sharing important analytics to customers and the global community. Business intelligence tools are now available to organizations large and small to make sense of complex big data. These solutions can collect, analyze and convert this data into understandable reports that provide valuable insights as a way to drive business profits.

It is recommended that you try Sematic Smartbi. Sematic Smartbi has a mature OLAP engine, which realizes the parsing function of SQL and MDX language; it supports Big Data and Cloud Computing, with a single table of more than 1 billion data sizes, and a query that can be responded to in "seconds". Whether it is a business database, data warehouse or excel, txt, Sematic Software Smartbi can quickly become a source of analytical data, and can visualize and manage the data model.

Smartsoft Smartbi small to fill in, query, deployment, integration, large to visualize the big screen, dashboard cockpit, everything, the function is very powerful. Most importantly, because of this tool, the entire company's data architecture can become standardized, the next step is to build the enterprise's big data platform. And it is java written to support secondary development, class Excel designer, both IT and business.

Smartsoft Smartbi get started are very simple: editing sql optimization, dataset reuse is simply a small case, greatly reducing the threshold of report development. In the enterprise is most concerned about data security, Sematic Software Smartbi support multiple people at the same time to develop the same set of reports, and through the template locking function to prevent editing conflicts; through the data analysis rights control, to protect data security.

Data visualization 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, 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.