Tableau recently announced “an entirely new natural language capability that opens up data analysis to every skill level in your organization, from advanced analysts to beginners who have no prior data analysis experience.“ The NLP-driven search function has been in Beta for months.
With the results of the 2019’s newest Gartner’s Magic Quadrant for BI and Analytics, this is not surprising. We know that NLP has the potential to change how business users interact with their data, but how does the functionality work against other leaders like ThoughtSpot and Power BI, who have been developing this capability for some time?
Early reports of NLP-driven search analytics claim that the hype is bigger than the functionality, with finicky requirements for how normalized the data must be, the amount of pre-defining that designers must program for the tool to work as well as the users anticipate and as the hype promises.
In the coming months, we will test the feature and share our updates.
You can find more information on Tableau’s Ask Data here.
Stefany Goradia writes about all things data, quality, and other topics du jour. She is passionate about collaboration, shared learning, and increasing visibility in healthcare through ethical use of data. She is Informatics Officer at Versatile MED Analytics, a healthcare analytics and data solutions company headquartered in Albuquerque, NM. To learn more, visit versatilemed.com.