Late-Binding Data Warehousing: An Update on the Fastest Growing Trend in Healthcare Analytics

July 10, 2014
Dale Sanders

Strategic Advisor

Posted in AI and Data Science, Data and Analytics

During this webinar you’ll learn the following:

  • The basic approach to a late-binding data warehouse.
  • Pros and cons of early- versus late-binding.
  • The historical volatility in vocabulary and business rules.
  • How to predict the rate and specifics of volatility in the future.
  • New learnings and helpful advice based on numerous discussions, forums, and    Interactions with many of you.
  • A robust, interactive question and answer period with attendees.
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Late-Binding Data Warehousing: An Update on the Fastest Growing Trend in Healthcare Analytics

Now that the industry has had some time to study, react, and apply the concepts, Dale Sanders is going to provide an update on the topic.  As a CIO in the Air Force and healthcare, consistently specializing in decision support and analytics for the past 30 years, Dale will share the stories of the failures and successes that led him to the unconventional approach of late binding in the design of data warehouses— a design pattern that is now implemented in over a dozen leading healthcare organizations and serving over 35 million patients.

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Late Binding in Data Warehouses Designing for Analytic AgilityDOWNLOAD
The Analytic System: Discovering Patterns in the Data
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