Webbinar, på begäran

Introduction to Tableau for Healthcare & Life Sciences

Data and analytics play a critical role in accelerating digital transformation and innovation. With the global health environment rapidly evolving, Tableau is committed to helping healthcare and life science organizations see and understand their data. Join us for a live introduction on how our enterprise platform makes visual analytics easy to use for the healthcare and life science industries. In this session we'll discuss:

  • A quick history of how Tableau supports the healthcare and life sciences industry.
  • Top use cases and examples of how we empower all healthcare leaders, business users, and clinicians to deliver optimal patient experiences and care outcomes.
  • How Tableau empowers leaders with self-service data discovery and visual analytics to deliver game-changing performance with measurable impact.

About the speakers


Chris Winquist

RVP, US Leader Healthcare & Life Sciences at Tableau
Ryan Lempa

Ryan Lempa

Enterprise Sales Consultant Manager at Tableau

Ryan is a data enthusiast coming from an operations management and supply chain optimization background, who found Tableau and fell in love at first sight. He currently manages the Northeast Enterprise Sales Consultants for Tableau in the New York/New Jersey area, but worked as the primary Sales Consultant for J&J for most of the past 2 years. Ryan loves data, analytics, and leveraging both to optimize the quality of smoked meat.


Zane Murfitt

Enterprise Sales Manager

Zane joined Tableau back in 2013 as an Account Manager before moving into a number of different sales management roles within our commercial teams. In 2019, Zane moved to our inside enterprise healthcare sales team focused on trying to help our customers see and understand data to enhance patient care. Zane's mission and purpose at Tableau is to empower people to solve business problems, grow their careers and generate positive change in their organizations by harnessing the power of their creativity and of data.

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