Research

Don’t Be Hit by the Analytics Backlash

By Thomas H. Davenport, Jun 19, 2018

Analytics leaders and practitioners need to be prepared both to defend analytics and AI where appropriate, ensure that you’re not contributing to issues like how to prevent algorithmic bias, what industries would be least likely to do harm with analytics, and how to reduce the societal damage from AI.

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There are two serious crises looming over our workforce at present. The one getting all the attention is the threat of artificial intelligence to eliminate vast numbers of jobs. The one lurking in the corners is a pervasive lack of engagement among workers from all sectors of the economy. What people are neglecting to note is that the two are related.

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Inquiry Response: Building Your Analytics Community

By IIA Expert, Jun 04, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We want to create a community among the analysts spread throughout the enterprise. How can we best foster collaboration and encourage shared knowledge and resources?

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Cutting Through the Hype of Artificial Intelligence, Part 1

By Bill Franks, May 30, 2018

Available to Research & Advisory Network Clients Only

Artificial Intelligence (AI) is one of the hottest topics in the analytics space today. Within a two to three year span, AI went from relative obscurity to an extreme level of industry attention and media coverage. As a result, organizations that barely knew how to spell Artificial Intelligence a few years ago are now charging full steam ahead in pursuit of AI initiatives. In many ways, this is a good thing. After all, AI is quite powerful and has the ability to drive tremendous value if applied appropriately. However, this attention also has some negative consequences. Most notably, the topic of AI is so full of hype today that many organizations are struggling to separate what is real and achievable from what is pure hype and wishful thinking. This is the first of a two-part series on Artificial Intelligence. This brief will examine some critical aspects of AI to understand in terms of where the market is a bit over-exuberant and also how AI works in reality. It will also cover some strengths and pitfalls to be aware of.

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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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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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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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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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