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Available On-Demand - This webinar has been recorded and is now available for download.

Empowering the Citizen Data Scientist: How You Can Expand the Business Impact of Analytics

Webinar Speakers: David Stodder, Senior Director of Research for BI, TDWI

Date: Thursday, November 16, 2017

Time: 9:00 a.m. PT, 12:00 p.m. ET 

Webinar Abstract

With analytics becoming increasingly essential to all aspects of business, many organizations are facing a crisis. They need data science so that they can extract maximum value from data, but there are still too few data scientists to go around. Some even say that trying to hire them is like “chasing unicorns” because they are so rare. A better strategy is to take advantage of newer technologies and practices aimed at enabling more personnel in organizations to engage in data science themselves rather than be dependent on rarefied experts. Although data scientists continue to be important for advanced requirements, organizations can now democratize data science so that more executives, managers, and other business users can take advantage. They can empower a new breed of “citizen data scientists.”

Attend this TDWI Webinar to learn about citizen data science. We will discuss how you can employ technologies and practices to expand the number of users in your organization who can access, discover, analyze, and interpret data, and apply insights to solve business questions. We will also discuss why it is important to support and nurture citizen data science with careful attention to users’ data preparation, data management, model management, and governance requirements.

Topics that this Webinar will address include:

  • TDWI research insights into key issues driving citizen data science
  • Why it is important to keep users focused on answering business questions, not just on using technologies
  • Advances in data preparation and blending to support citizen data scientists
  • How to make it easier for business users to engage in data science
  • Best practice recommendations for citizen data science success

David Stodder

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