Research

Inquiry Response: Moving to a Self-Service Analytics Environment

By IIA Faculty, Jul 30, 2015

Available to ERS Clients only

The IIA Faculty address this recent client question: How do we help the organization move to a self-service analytics environment, while still focusing the analytics group on strategic projects?

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Two Cheers for Situational Intelligence

By Thomas H. Davenport, Jul 29, 2015

Over time I have changed my mind about “situational awareness” systems. I don’t think there is anything wrong with such systems except for the fact that they are called “situational awareness.” My current feeling is that to be aware of the situation, you need a lot more than data from your operational systems. In fact, the very act of building and closely monitoring a system means that you are unlikely to be situationally aware.

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Episodes of care (EOC) is redefining the way health care organizations manage patient care and connect outcomes and value to payment. By leveraging insights from EOC, both providers and payers can clearly understand the quality and total cost of care and make adjustments to optimize resources, drive towards better health outcomes, reduce costs, and generate higher patient satisfaction. IIA spoke with Peter Chingos, a Senior Industry Consultant with the Health Analytics Practice, Health & Life Sciences at SAS Institute Inc. to discuss the various benefits and opportunities EOC analytics provides, as well as some of the challenges associated with implementation.

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The Power of Storytelling

By Jenny Moede, Jul 28, 2015

Available to ERS Clients only

In this briefing you’ll learn a few simple and immediately applicable tools for transforming data into compelling stories within your organization as well as resources to tap going forward. You’ll explore the essential elements of a narrative that can accompany your analytics to emphasize the meaning of the data and the story that it tells.

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Population Health Analytics Part III: Best Practice Examples

By Dwight N. McNeill, Jul 23, 2015

Available to ERS Clients only

This Research Brief is the last of a three-part series on population health analytics (PHA). The prior briefs have focused on definitions, frameworks, and application models. Now we turn to real examples of putting population health analytics to work: to identify and manage high-cost and high-need patients; to improve individualized care by taking into account data on the social determinants of health; and to achieve optimal health outcomes for all people through community action.

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My plea to HR (and any other department hiring a Data Scientist)? Stop hiring real Data Scientists until you’re ready to do real data science.

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The Analytics Leader’s New Clothes

By Jack Phillips, Jul 17, 2015

No amount of spending, and no technology stack is going to make a company analytical. We’ve seen this fact lost on too many companies. Research shows that more than half of analytics projects fail, and technology is most frequently not the culprit.

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Inquiry Response: How to Organize for Data, BI and Analytics

By IIA Faculty, Jul 16, 2015

Available to ERS Clients only

The IIA Faculty answers a question around how best to organize a global business team for data (big and small), business intelligence and analytics.

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Would The Last Marketer Please Turn Out the Lights

By Thomas H. Davenport, Jul 14, 2015

Marketing is becoming increasingly automated, and before long there may be little need for lights in the marketing department. Humans will still oversee these automated efforts, but there will probably be substantially fewer of them.

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I spend a lot of time these days talking with companies about the need for a formal approach to enabling what is often called “discovery analytics” or “exploratory analytics.” What I find is that many people have a fundamental misunderstanding of what discovery analytics is all about.

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