Analytics anyone can use.
Analytics for organizations.
Cloud analytics for organizations
Insight on your tablet or phone.
Publish interactive data on websites.
Read Tableau Desktop files for free.
Explore data on an iPad, free.
Explore customer stories, examples, and resources by industry.
Explore customer stories, examples, and resources by capability and department.
Explore customer stories, examples, and resources by data source and technology.
See what's possible with Tableau.
Learn Tableau with these bite-sized videos.
One-hour sessions led by a Tableau pro.
Multi-day courses offered around the world.
Technology, trends, and tips.
Learn from experts.
Live, online product walkthroughs.
Share knowledge and ideas with other Tableau users.
Visit the Forums
Find a partner to help you make the most of Tableau.
Find a Partner
Stay up-to-date with the latest virtual and in-person events.
Resources for Desktop authors.
Resources for Server administrators.
Resources for Tableau in the cloud.
Jump-start your deployment or dashboard.
Manage your Tableau accounts, product keys, and support cases.
Explore technical articles.
This matters to us.
Our top brass.
Extra, extra! Read all about it.
Let's build a better world with data.
News, events, and investor releases.
Join our team.
The promise of business intelligence, or BI, has always been to empower business users with better information than they could obtain from operational systems. While traditional BI continues to fulfill certain needs, self-service BI addresses the problem of ever-shifting demands for information.
In any organization, there exist multiple data sources that are constantly capturing information about that business. In addition to these sources (which are often in different formats), there are users with unanswered questions about their business. These users are seeking answers, but first need access to the data. Traditional BI relies on a centralized, cleansed and transformed store of data that users can access through standardized reports and perhaps an ad-hoc query tool. However, the development and maintenance of this type of system takes time and imposes constraints on the types of analysis users can perform – the data must be ‘in the system’ in order to be analyzed. On a day-to-day basis, the types of decisions that business users must make frequently require information that is not yet (or will never be) in the data warehouse. At best, a diligent user will spend the time to manually reformat and integrate the necessary data. At worst, users will make decisions without having all the information relevant to the problem at hand. Neither of these outcomes is best for the business or any of the typical endpoints along the spectrum.
Self-service BI shifts the emphasis away from the processes required to manage data in a centralized store and toward a process for finding, accessing and integrating pertinent information as needed. With self-service BI, decision makers are better able to respond to changes in business conditions quickly.
The focus of this paper is to:
Get Free Trial