Self Serve Demo for Tableau Extensions

By combining Tableau with DataRobot, you can apply AI to solve complex business problems in a way that optimizes bottom line results. In our pre-built demo workbook, we use a Lending Club dataset that offers a low-touch way to experiment with the capabilities offered by the Tableau/DataRobot extension regarding insights, predictions, and what-if analysis.

Pre-built Tableau workbook (compatible with Tableau desktop 2018.3) with a loan default dataset, using embedded data extracts and showing:

  • The Insights extension where data is built-in with no API Token and no back-end interaction
  • Predictions where predicted values are embedded as a data extract with no back-end interaction
  • What-If extension includes embedded API Token. Uses a deployed model on app.datarobot.com in a dedicated and generic account.
At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
Akshay Tandon
Akshay Tandon

VP of Strategy Analytics, LendingTree

DataRobot not only empowered our data scientists by making them more productive, but is starting to democratize machine learning for our business analysts and data managers. The software itself is easy to use and understand. It is simple and gives clear results. It will be impactful to our organization and integral in advancing our overall AI strategy.
Anthony Randall

Digital Strategic Alliance Lead, Monsanto

We were able to extract value from our modeling process, but DataRobot really helped us hit that inflection point where it went from something we valued and something we did to really blowing it out of the water.
Braden Moore
Braden Moore

VP of Analytics, Philadelphia 76ers

The biggest impact DataRobot has had on Lenovo is that decisions are now made in a more proactive and precise way. As we get better and forecast accuracy keeps improving, people are becoming more confident and trusting of the process, the data, the models, and DataRobot.
Rodrigo Bertin
Rodrigo Bertin

Senior Business Development Manager, Latin America, Lenovo Brazil

We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
Evariant
What DataRobot was able to accomplish in the first hour was more thorough and accurate than models we had built over the prior month.
Dave Truzinzki
Dave Truzinzki

Chief Digital Officer, Crest Financial

Life before DataRobot was long, slow, and painful. DataRobot has really been able to revolutionize how we approach problem solving, both internally and with our clients.
Jason Mintz
Jason Mintz

VP of Product, DemystData

We wanted to use DataRobot to identify the key drivers that we hadn't considered. The speed of the platform is its strength, where it can generate results in less than an hour, instead of a few days. The speed encourages more people in the department and company to be involved with data science.
I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
Oliver Rees
Oliver Rees

General Manager – Torque Data at Virgin Australia

We are using DataRobot to make some pretty huge decisions at Steward Health Care. DataRobot is very much a part of our growth strategy. It's uncharted territory for healthcare.
Erin Sullivan
Erin Sullivan

Executive Director, Steward Health Care