Data & Analytics

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Coming Soon: Doctors As Data Analysts

At the Big Data Innovation Summit, Kaiser’s John Mattison detailed his expectations for the future of health care. He envisions a data-driven system that relies on genetic data in combination with personal data from the patient regarding exposures and lifestyle to help physicians predict health risks. But he also warned that companies have a great deal of work to do to meet the challenges of health care’s digital transformation.

Image courtesy of Flickr user Frank Hebbert https://www.flickr.com/photos/f-r-a-n-k/244365325
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When an IT Project “Goes Red”

Declaring that a project everyone is excited about is in trouble can be demoralizing. But it’s exactly what can turn things around. That’s what health care insurer WellPoint found when it ran into trouble changing its provider payment system and put the project into “Status Red.” Sending the warning message up the organization ended up having a positive effect, even if team morale initially took a hit. Four steps in particular helped set a better course.

Image courtesy of Flickr user Tristan Martin (https://www.flickr.com/photos/mukumbura/4043364183)
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Why the Non-Superstar Might Be the Most Important Team Member

Hot shots get all the attention, but other team members can be the ones who make a group really tick. “Plus/minus” analysis, which is used by some professional sports teams, lets organizations understand, through data, not just individual performance but performance in context. Research by Thomas H. Davenport details how the goal is to understand how a team performs when one person is part of the mix, and when they’re not.

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Analytical Value From Data That Cries Wolf

It’s a common assumption: errors and biases in a data set mean the data is useless. Not so fast, says Data & Analytics expert Sam Ransbotham — even data with less-than-great accuracy has its uses, if you understand how to parse it. His blog post explains how to make sense of uncertainty, and how tradeoffs between accuracy and breadth in a data set can better inform your decision-making process.

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Training the Next Generation of Business Analytics Professionals

When Michael Rappa proposed to his employer, North Carolina State University, that they create a degree program for business analytics in 1999, they dismissed the idea. But 14 years later, the Institute for Advanced Analytics is a pioneering and successful program that trains analytics professionals for businesses hungry for analytics skills. Rappa sat down with MIT Sloan Management Review’s Michael Fitzgerald to explain how the Institute came about — and where it’s headed.

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Data Analytics Makes the Transition From Novelty to Commodity

Business is nearing a tipping point in which the use of data analytics is becoming routinely adopted. While widespread adoption of analytics will mean that it offers less competitive advantage to companies, it also means that the business environment overall will change. Information systems expert Sam Ransbotham identifies four key changes that businesses need to consider now.

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Does Your Company Collect Data — Or Hoard It?

As it has become clearer that data offers value to companies, some organizations are tempted to take a “more is better” approach. But there’s a fine line between collecting data that offers value and hoarding data, which ultimately proves counterproductive. Ransbotham’s Three Laws of Data Collection offer guidance.

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Big Data Fatigue?

Some people suggest that the concept of “big data” is nearing the end of its fifteen minutes of fame. They couldn’t be more wrong — because big data isn’t just about managing social media, unstructured data or massive data sets. It is an approach to data and analytics that finds new ways of looking at information — and it’s here to stay.

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Crafting Health Care’s Future at Kaiser Permanente

Dr. Yan Chow is a director in the Innovation and Advanced Technology group at Kaiser Permanente. While a physician with over two decades of primary care clinical practice experience, Dr. Chow also has a keen interest in technology (he’s founded several technology startups). His areas of expertise: health care IT innovation, telehealth, big data and analytics. Here, he talks about innovation and the future of health care.

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Capitalizing on Data by Building Organizational Capabilities

The idea is simple: develop a methodology that ties patient outcomes to provider fees so that clinicians are rewarded when patients’ health improves. Making it happen is a lot more complicated. When WellPoint undertook this task, it discovered that there was more to it than simply the challenge of applying data analytics technology — the company’s innovation processes had to be reinvented.

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Technology Solutions for Health Care Need a Continuous Process

It’s no secret that the fee-for-service model in U.S. health care is a driving factor in spiraling costs. WellPoint’s innovative plan to shift to a value-based payment plan may prove to be a key innovation that keeps a lid on those costs. But as commentator Sam Ransbotham points out, their effort to change the payment system also highlights a need for process changes at WellPoint itself.

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A New, Analytics-Based Era of Banking Dawns at State Street

Change does not come easy to established institutions, particularly when they count their longevity in centuries rather than decades. Yet in the wake of the global financial crisis, State Street Bank has elected to revamp 200+ years (and counting) of banking practices in favor of a data-driven, analytics-based business model. In doing so, it created a new business, SSGX — and initiated significant cultural changes.

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The Analytics Mandate

Based on a global executive survey with 2,000+ respondents and interviews with more than thirty executives, MIT Sloan Management Review and SAS Institute Inc. report that analytics has become a common path to business value. Organizations are now being challenged to step up their use of analytics, whether they are just getting started or are seasoned practitioners. The implications for industry competition are coming into focus—companies that incorporate analytics into their culture are finding success in the new digital era.

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In Sports, It’s Quants Versus Managers

There have been a number of stunning sports upsets that make it clear that the lines are fading between intuition and experience on the one hand, and data and analytics on the other. Where the “gut” instinct of managers and owners once ruled, analytic insights are fast becoming a standard part of the playbook. What’s at stake? Seemingly everything: trophies, revenues, funding and fans, not to mention the sheer thrill of victory. That’s particularly the case in elite professional sports.

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Preparing Analytics for a Strategic Role

The way health care is billed in the U.S. system is part of the reason costs are so high. WellPoint, one of the largest providers of health care benefits and insurance in the U.S., is using analytics to change its provider payment system. The goal: promote a health care system based on value, not the volume of services. This Data & Analytics Case Study takes an in-depth look at how WellPoint went from idea to implementation, working with physicians and IT staff to build its Enhanced Personal Health Care program.

Thomas H. Davenport
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Harnessing Quant Power

A new book by Thomas H. Davenport and Jinho Kim says that if companies can’t turn all the data they’re swimming in into better decision making through quantitative analytics, they’re “probably creating suboptimal performance.” The book, Keeping Up with the Quants: Your Guide to Understanding and Using Analytics, is geared toward executives who are not analytics experts but whose jobs require them to deal with those who have such expertise, both inside and outside their organizations.

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Elevating Data, Analytics to the C-Suite

The former senior vice president of vendor analytics at Bank of America is now chief analytics officer at Bank of America Merchant Services. While Merchant Services is technically a separate business, Douglas Hague’s ascension to the C-suite is notable in that it’s one of the first analytics roles to report directly to the CEO at Bank of America Merchant Services. That has some implications for strategy and for long-term planning.

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