Tableau
Key Info:
Tableau is business intelligence software that helps people see and understand their data. Learn why Gartner ranked Tableau as a leader in the business intelligence industry.
Details
Tableau is business intelligence software that allows anyone to easily connect to data, then visualize and create interactive, sharable dashboards. It's easy enough that any Excel user can learn it, but powerful enough to satisfy even the most complex analytical problems. Securely sharing your findings with others only takes seconds.
Features
Visual analysis in a click
Powerful analytical tools—at your fingertips. Filter data dynamically, split trends across different categories or run an in-depth cohort analysis. Double-click geographic fields to put data on a map. All without writing a single line of code.
Deep statistics
Go deeper into your data with new calculations on existing data. Make one-click forecasts, build box plots and see statistical summaries of your data. Run trend analyses, regressions, correlations, and much more. PhD not required.
Metadata management
Make better sense of your available data—quickly and easily. Rename fields and modify number formats. Combine fields into groups. Create subsets of your data by simply selecting groups of points. Use those sets to filter other views. Build new hierarchies. Now it’s easy for you to make your data understandable to everyone.
Best practices built in
You get the benefit of years of research on the best ways to represent data, built right into your workflow. Optimized color schemes, automatic chart types and elegant design. Communicate insight in the most effective way, automatically.
Data engine
When you want to take data offline or bring it in-memory, Tableau’s Data Engine lets you extract data for ad hoc analysis of massive data in seconds. It combines advances in database and computer graphics technology to make even huge datasets possible to analyze on a laptop or mobile device.
VizQL technology
VizQL is a patented technology based on years of research at Stanford University. It translates mouse clicks into database queries and displays the response graphically. Data visualization becomes the process for discovering insights and sharing them with others.