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2019 Top 10 Business Intelligence Trends

Keeping up with the rapid pace of change in the BI ecosystem gets more challenging every year. We interviewed a variety of customers, Tableau staff, and experts to identify 10 influential BI trends.

This 60-minute webinar will give you a high-level overview of all 10 trends:

  1. The rise of explainable AI.
  2. Natural language humanizes your data.
  3. Actionable analytics put data in context.
  4. Data collaboratives amplify social good impact.
  5. Codes of ethics cath up to data.
  6. Data management converges with modern BI platforms.
  7. Data storytelling is the new language of corporations.
  8. Enterprises get smarter about analytics adoption.
  9. Data democracy elevates the data scientist.
  10. Accelerated cloud data migration fuels modern BI adoption.

Watch live to get up to speed on the latest trends, see real-life examples, and get your questions answered in real-time.

Check out the rest of the 2019 Top 10 Business Intelligence Trends webinar series.

About the speakers

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Andrew Beers

Chief Technology Officer, Tableau

As Chief Technology Officer, Andrew Beers is responsible for Tableau's long-term technology roadmap and emerging technologies. During his tenure at Tableau, he has led many engineering teams, created new products, and personally written pieces of the product code.

Andrew has been at the heart of Tableau's engineering for most of the company's existence. Prior to joining Tableau in 2004, Andrew ran the engineering group at Align Technology, makers of the Invisalign system, building software to support large-scale customized manufacturing. He holds a master's degree in computer science from Stanford University, where he worked in Pat Hanrahan's computer graphics research group.

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Ellie Fields

Senior Vice President of Product Marketing at Tableau

Ellie Fields is the Senior Vice President of Product Marketing at Tableau, responsible for new product launch, Tableau's community and Tableau Public. Her data geek credentials come from time served in technology and finance companies. She’s seen a lot of ugly data, beautiful data, and downright mean data. She’s a passionate believer that data used well can inform great discussions. She has an engineering degree from Rice University and an M.B.A. from The Stanford Graduate School of Business.

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