Research

Yes, Artificial Intelligence Is Analytics

By Bill Franks, Sep 14, 2017

There seems to be some confusion as to exactly what artificial intelligence (AI) is, and how the discipline of AI should be categorized. Is AI a form of analytics or is it a totally new discipline that is distinct from analytics? I firmly believe that AI is more closely related to predictive analytics and data science than to any other discipline. One might even argue that AI is the next generation of predictive analytics. Additionally, AI is often utilized in situations where it is necessary to operationalize the analytics process. So, in that sense, AI is also often pushing the envelope of prescriptive, operationalized analytics. It would be a mistake to say that AI is not a form of analytics.

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Inquiry Response: The Bridge Between Internal and External Reporting

By Adam Moore, Sep 11, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

We have an external reporting tool with a certified process and strong governance. Separately, we have management reporting data and analytics data, and for analytics we are standing up a data lake from disparate sources. My challenge is around the external tool and management reporting data. Right now we bridge the management reporting back to the externally reported figures, but I don’t see a need for this tie because the purposes are different. However, senior management has an emotional commitment to the bridge, so I’m wondering if that bridge is really important and whether you are seeing companies diverting from the need to build a bridge.

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Inquiry Response: Recommendations for Rolling out a new technical solution

By IIA Faculty, Sep 05, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

I’m interested to discuss a topic that I can best describe as ETL (extract, transform, load) as a service that can be deployed for the enterprise. I’m looking to see if other companies have successfully attempted this, and whether there are vendor platforms for this or if this is typically a capability that is built internally.

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“The real issue is that every business is now a tech business – whether it wants to be or not – and that means not just new skills and experiences, but a new outlook on opportunity and strategy.” This quote is from a recent Forbes analysis of the different business models companies can deploy and how each one is performing in the new digital world.

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A Revolution in Analytical Technology

By Thomas H. Davenport, Aug 22, 2017

It’s been 10 years since Jeanne Harris and I published our book, Competing on Analytics, and we’ve just finished updating it for early-fall (2017) re-publication. We realized during this process that there have been a lot of changes in the world of analytics.

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The analysis of Internet of Things (IoT) data is quickly becoming a mainstream activity. For this blog, I’m going to focus on a few unique challenges that you’ll most likely encounter as you move to take IoT data into the AoT realm.

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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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Inquiry Response: Tips for Building Your Analytics Toolbox

By Mark Molau, Jul 31, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

We are considering having our analysts use the same set of tools and are considering MicroStrategy because it is readily accessible. What should we take into consideration when selecting analytics tools to support the business?

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Are Analytics Truly Self-Service?

By Thomas H. Davenport, Jul 25, 2017

I have been thinking about some of the changes over the last decade in analytics, coinciding with the revised and updated release of my book with Jeanne Harris, Competing on Analytics. The book is ten years old, and much has changed in the world of analytics in the meantime. In updating the book (and in a previous blog post about the updates), we focused on such changes as big data, machine learning, streaming analytics, embedded analytics, and so forth. But some commenters have pointed out that one change that’s just as important is the move to self-service analytics.

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Is AI over-hyped in 2017?

By Joanne Chen, Jul 20, 2017

Over the next ten years, I don’t believe AI is overhyped. However, in 2017, will all our jobs be automated away by bots? Unlikely. I believe the technology has incredible potential and will permeate across all aspects of our lives. But today, my sense is that many people don’t understand what the state of AI is, and thus contribute to hype. So what can AI do today?

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