Research & Insights

How to Outflank the Competition With Analytics

By Thomas H. Davenport, May 24, 2018

CIOs can help drive business value by following the lead of high-performing companies that use advanced analytical techniques and data-driven insights to rise above their competitors.

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Phone Briefing: Learnings from The AI Conference 2018

By David Alles, May 22, 2018

Available to Research & Advisory Network Clients Only

The AI Conference, presented by O’Reilly Media and Intel AI, is where cutting-edge science meets new business implementation. It’s a deep dive into emerging AI techniques and technologies with a focus on how to use it in real-world implementations. IIA attended the conference April 30-May 2 and has returned with key insights on how AI is shaping the business landscape. Listen for a digest with our event coverage master, VP David Alles, to discuss the latest trends in AI and leading methods.

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In this context, BI is a highly evolved form of decision support software whereas OI is an emerging next-generation form of digital automation. And that is a very big difference indeed.

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Inquiry Response: Getting Started With Decision Modeling

By IIA Expert, May 21, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

How does decision modeling factor into organizational design and our analytics efforts?

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Data Management Platforms and Audience Building

By Michael Koved, May 21, 2018

Available to Research & Advisory Network Clients Only

To identify customers and potential customers, Marketers use a Data Management Platform (DMP) to build audiences and track campaign results. This paper provides an overview of how DMPs work and share practitioner tips for leveraging DMPs and getting the best from yours.

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Organizing Analytics

By Robert Morison, May 16, 2018

Available to Research & Advisory Network Clients Only

This research brief describes and offers guidance on:

  • The fundamental goals of organizational structure
  • Six basic models for organizing analytics
  • Mechanisms for coordinating across organizational boundaries
  • Design variables that enable or constrain organizational shape
  • How analytics organizations commonly evolve
  • How to assess readiness for greater centralization
  • Structural variations driven by technological and business change
  • Questions to ask in planning your next structural move

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The issue of unwanted and unknowing data sharing has been framed in the interviews with Facebook execs as protection of your personal data. But that’s not a completely accurate way to characterize the situation. The gathering of social data expands geometrically as the reach of the new social data aggregators and those who leverage popular social platforms grow.

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Inquiry Response: Hiring for Rotational Development Programs

By IIA Expert, May 14, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We’re starting a rotational development program aimed at master’s level grads in the data science arena. The program is three years long with three one-year rotations in different business areas. We’re struggling with the program’s design and recruiting efforts and are hoping for some insights.

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As a person who has been involved with analytics for a long time, I have historically considered analytics to be a huge differentiator while data was more of a table-stakes enabler. Several trends have come together to make me realize that the equation has been reversed in many cases today.

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Will Data Scientist Continue to Be the Sexiest Job?

By Thomas H. Davenport, May 08, 2018

Back in 2012 I wrote (with D.J. Patil, who went on to become the Chief Data Scientist in the White House) an article in Harvard Business Review called “Data Scientist.” Nobody remembers the title or much about the content of the article, but many remember the subtitle: “Sexiest Job of the 21st Century.” At the time (and still today), these jobs paid well, were difficult to fill, and required a very high level of analytical and computational expertise. But a more accurate subtitle might have been “Sexiest Job of the 2010-2019 Decade,” because I am not sure how much longer data scientists will be in great demand.

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