Research

Inquiry Response: Start At The Beginning and Keep It Simple

By IIA Faculty, Oct 16, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

How sophisticated should our techniques and capabilities be at the outset? Where do others like to start? From the business view (demand): How complex are the strategic problems we seek to support and enable with data science insights? From the analytic view (capability): How sophisticated should our core techniques be?

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Resuscitating a lifelong dream with data science

By Sarmila Basu, Oct 05, 2017

Thousands of people die every year from a common infection that you can get when you go to the hospital. It’s called Clostridium Difficile 101 (or CDIFF for short), and people get infected with it 500,000 times per year, and devastatingly, it kills 29,000 people per year in the U.S. How are data scientists like those on my Data and Decision Sciences team in Microsoft IT able to help?

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Inquiry Response: Starting a Knowledge Management Program

By Mark Madsen, Aug 28, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

Our analytics department is starting a knowledge management program. What are some best practices of starting a program for our analytics department? We’re looking for lessons learned and anything that would help a knowledge management program be more successful for people doing analytics.

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When it comes to creating a more data-and-analytics-driven workforce, many companies make the mistake of conflating analytics training with data adoption. While training is indeed critical, having an adoption plan in place is even more essential.

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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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Inquiry Response: Analytics Trends with an Eye on the Future

By Mark Madsen, Jul 24, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

I lead the technology delivery team for the international business intelligence (BI) division. We’re trying to build a strategy to ensure that we’re at the leading edge with our data and that we can continue to achieve competitive advantage out of our data. We would like your take on where you see analytics going and general trends regarding capabilities that organizations are going to need going forward.

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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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Inquiry Response: Migrating to New Data Platforms and Data Sources

By Mark Molau, Jun 07, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

I’m interested to discuss methods/options for scaling analytics across our highly matrixed organization. We have done a lot of work building out our analytics strategy, but now need to get more tactical. How can we make this transition while maintaining the current systems, building future systems and constructing a bridge between the two?

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On the Road: Data Down Under

By Jack Phillips, May 25, 2017

As the leader of a world-class service organization, I’m on the road a lot meeting with research clients and prospective customers alike. Each week I try to meet or speak with at least one team at IIA’s ever-growing group of high-performing research clients. I thought it was time to start sharing some field notes of what I’m seeing and hearing. Last week I finished a trip to New Zealand and Australia, visiting with 10 companies from four distinct sectors in three major cities.

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When I attend industry conferences or speak with Chief Data Officers (CDOs) and Chief Analytics Officers (CAOs) of large financial institutions, one popular question that arises is, “What do you hear about open source analytics in other large banks? Is it ready for production?”

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