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On-Demand Webinar

Data Storytelling: The Key to Engaging and Influencing Executives

Storytelling is one of the most powerful ways to communicate data. Did you know that by using proven storytelling techniques to appeal to the decision making part of the brain, you can influence how and if your users take action on their data? When applied to advanced analytics, storytelling can both accelerate decision making and boost user engagement and adoption. It’s a science that can be learned.

This insightful webinar will help listeners understand how to use the power of data storytelling to influence others to take action. It will also demonstrate how DataRobot uses storytelling in its internal analytics, to make decision making simple.

Attendees will learn:

  • The Power of Visual Storytelling and how it affects the brain
  • How to use Right-brain action words to invoke action
  • Why storytelling is more than pretty charts
  • What 5 things you must ask to create a compelling data story
  • Why DataRobot sees storytelling as the key to user adoption


Mico Yuk
Mico Yuk

Co-Founder, BI Brainz

  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • 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

  • 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

  • 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.