Research

Digital Systems Maturity Model

By Geoffrey Moore, Aug 17, 2017

Every so often a phrase emerges from the Word Cloud to achieve capital importance, the sort of thing that authors and pundits can dine out on years to come (well, we do have to eat too, you know). At present that phrase is digital transformation.

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Inquiry Response: Engaging for Digital Transformation

By Mark Molau, Aug 14, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

How can we approach structuring our digital transformation so they can get some real traction? We are a very analytically siloed organization, and struggle with data transparency/access across the enterprise. We are working to figure out how our analytics initiatives fit within the larger organization, and how to engage everyone, CIO and business units, in our digital transformation.

  • How can we approach structuring our digital transformation in a way to get some real traction and change the culture?
  • How can I best communicate why it’s necessary to directly align our analytics initiatives with the business?

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Inquiry Response: Approaching EDW and Analytics for Hospitals on Epic

By Gwen O’Keefe, Aug 07, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

We’re considering integrating Caboodle and would like to learn from other healthcare organizations using Caboodle if it is their core enterprise data warehouse (EDW), or if other solutions have been supplement to meet their needs.

  • What role does Caboodle play in your overall enterprise data strategy?
  • Does Caboodle operate as your core enterprise warehouse, or are supplemental solutions being used?
  • What data are you collecting in Caboodle as opposed to supplemental systems?

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Driving Clinical and Operational Performance Through Analytics

By Jack Phillips, David Alles, Aug 02, 2017

Available to Research & Advisory Network Clients Only

As much as any industry today, healthcare sits at the intersection of both technological and societal change. Web, mobile, cloud, and data technologies are being applied to myriad patient-level applications to disrupt traditional patient care methods, and the very way that hospitals operate and compete. Emerging technologies leveraging the Internet of Things (IoT), particularly in the wearables category, will most certainly shift the role of care and wellness from provider to patient. Recent research from the International Institute for Analytics (IIA) has now quantified the significant gap in maturity between all healthcare segments and most other industries. But the research also reveals a discreet set of steps healthcare providers can follow to improve capabilities and move up the analytics maturity curve.

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Saving Retail

By Geoffrey Moore, Jul 18, 2017

Okay, so you know a sector is in trouble when there is a Web page in Wikipedia entitled “The Retail Apocalypse.” This post is not about how much trouble retail is in. This one is about how it can get out.

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Top-Down Implementation Process for Rapid Data Governance Adoption

By Benson Hsu, MD, MBA, Doug Nowak, MBA, Mark Wheeler, Jul 12, 2017

Putting a solid data governance structure in place is challenging, but Sanford Health, a large integrated health care delivery system spanning six states, describes how to accomplish the task quickly using a top-down process.

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Over the past two years, I observed a very distinct pattern between companies that successfully navigate the new digital world and those that fall behind. As it turns out, those who are emerging as the early leaders in the age of digital disruption share one thing in common – a clear statement of intent. This blog includes examples that have helped shape my thinking on this issue.

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Sticky problems keep our data scientists engaged

By Sarmila Basu, Jul 06, 2017

When you bring together a wildly diverse group of geniuses, the hard part isn’t finding work for them to do; it’s finding something that’s hard for them to solve, something so challenging that they get a little bit mad and a lot fired up. If not, they’ll get bored and they might wander off. That’s why it has taken me seven years to build my team: an eclectic mix of statisticians, economists, mathematicians, electrical engineers, biophysicists, and telecommunications specialists who are helping shape the way Microsoft uses data.

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Inquiry Response: Key Messages on the Importance of Analytics

By Dave Cherry, Jul 03, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

My organization works with many different business groups and leaders and we need to articulate why they should be thinking about analytics. We often hear from them that they’re already doing analytics, although they’re really just getting some dashboard information. Most of them don’t know what they don’t know.

Questions:

  • How do we make analytics real for them, get them excited and get them to think about data differently?
  • How have others communicated benefits when they just started out and don’t have any internal use cases to reference?
  • How can we explain how things are different in an analytically mature organization?

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Five Big Data Analytics Pitfalls to Be Aware of (And Avoid!)

By Bill Franks, Jun 28, 2017

Available to Research & Advisory Network Clients Only

Many people think that in the age of big data, we always have more than enough information to build robust analytics for almost every situation. Unfortunately, this isn’t the case. In fact, there are situations where even massive amounts of data still don’t enable basic predictions to be made with confidence. In many cases, there isn’t much that can be done other than to recognize the facts and stick to basic analytics instead of getting fancy. However, it is critical to recognize the situation before expending a lot of effort in a wasteful attempt to get predictive analytics to work in a situation where success isn’t in the cards. This challenge of big data that can’t be used to predict seems like an impossible paradox at first, but, as you’ll see, it is not.

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