Tableau's latest release, 2019.3, will bring automated statistical analysis to visualizations via a feature called Explain Data.
The feature is built directly within Tableau and people can click through an icon to get automated analysis without data modeling or data science.
Explain Data is also based on a set of algorithms that analyze all available data to surface statistically relevant items on a data point.
Francois Ajenstat, Chief Product Officer at Tableau, said Explain Data is designed to evolve "what happened to why it happened." In a demo, Ajenstat walked through bike share visualizations and data for Boston and used Explain Data to run possible explanations for rides in August and February.
Must read:
Explain Data, which aims to surface something statistically significant that is not obvious, is based on technology acquired from the June 2018 purchase of Empirical Systems.
Ajenstat said Explain Data has the potential to further democratize analytics as users can select any data point in a visualization and utilize Bayesian statistical modeling to evaluate patterns and explanations across multiple data points.
Tableau, now owned by Salesforce, already integrates with dozens of data types and those connections give Explain Data more fodder to come up with insights. The appeal of Explain Data is that a person asking a question doesn't have to limit analysis to a set of predetermined hypotheses.
In addition to Explain Data, Tableau also added more natural language processing features to Ask Data. The primary addition to Ask Data is embedded natural language processing that can utilize the information contained in the company's portals and intranet pages.
Other additions to Tableau 2019.3 include: