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Why self-service analytics makes sense for your healthcare organization

While data quality and self-service analytics may seem to compete, a properly built analytics resource center can achieve high levels of excellence in both areas.

By understanding and meeting the data needs of end users, data sources can be validated and prepared for proper use, while also adding data sources as new use cases emerge.

This approach allows for data quality — everyone works from the same data sources, and self-service – dashboards can be created by end users.

In partnership with Becker's Healthcare, viewers of this webinar will:

  • Explore what facilitates self-service analytics
  • Review how to build an analytics resource center that best serves end-users
  • Learn how to engage disparate groups in the advancement of enterprise analytics use

À propos des intervenants


Barry P. Chaiken, MD

Clinical Lead, Healthcare, Tableau

Barry Chaiken, MD, MPH, is the clinical lead at Tableau Healthcare and has more than 25 years of experience in medical research, epidemiology, clinical information technology, and analytics. He is board-certified in general preventive medicine and public health and is a fellow and former board member and chair of HIMSS. As the founder of DocsNetwork Ltd., Chaiken worked on quality improvement studies, health IT clinical transformation projects, and clinical investigations for the National Institutes of Health, UK National Health Service, and Boston University Medical School.


Christopher Hutchins

VP, Chief Data & Analytics Officer - Northwell Health

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