Research

On August 18, IIA hosted a webinar featuring IIA Faculty Member John Thuma, a Director with the Aster Big Data COI at Teradata Corporation, discussing the ways companies today can use the lessons of data governance to solve the problems of a big data era. A handful of questions during our Q&A session were left unanswered, so we asked John to tackle them in a blog post.

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The Human Factor in Analytics

By Emilie Harrington, Aug 20, 2015

As a result of rapidly growing data sources, increasing numbers of applications, analytic platforms, and rising complexity of all of these environments - the most critical asset and investment that a company can make - is empowering their key analytics practitioners and business leaders with the right blend of experience, training, development, and support so that they can maximize the value of the raw data and turn it into actionable insights for their organization.

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Successful Analytics for Manufacturing: Your Questions Answered

By Cheryl Wiebe, Blake Johnson, Aug 18, 2015

On July 22, IIA hosted a webinar featuring Cheryl Wiebe and Blake Johnson, discussing the three main problems that manufacturing companies face when deploying analytics. A handful of questions during our Q&A session were left unanswered, so we asked Cheryl and Blake to tackle them in a blog post. Their unedited responses can be found below.

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It’s a classic scenario. Two people meet at a party. They chat and then exchange information. However, they never speak or meet again. It is as though the contact information was never exchanged. So, what happened? Was there never intent to follow up? Or, did the information get lost, forgotten, or placed in a pile that never got acted upon?

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July 2015 Research Roundup

By IIA Faculty, Aug 01, 2015

To recap our work for July 2015, check out the following summary of our publications and activities.

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Two Cheers for Situational Intelligence

By Thomas H. Davenport, Jul 29, 2015

Over time I have changed my mind about “situational awareness” systems. I don’t think there is anything wrong with such systems except for the fact that they are called “situational awareness.” My current feeling is that to be aware of the situation, you need a lot more than data from your operational systems. In fact, the very act of building and closely monitoring a system means that you are unlikely to be situationally aware.

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My plea to HR (and any other department hiring a Data Scientist)? Stop hiring real Data Scientists until you’re ready to do real data science.

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The Analytics Leader’s New Clothes

By Jack Phillips, Jul 17, 2015

No amount of spending, and no technology stack is going to make a company analytical. We’ve seen this fact lost on too many companies. Research shows that more than half of analytics projects fail, and technology is most frequently not the culprit.

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Would The Last Marketer Please Turn Out the Lights

By Thomas H. Davenport, Jul 14, 2015

Marketing is becoming increasingly automated, and before long there may be little need for lights in the marketing department. Humans will still oversee these automated efforts, but there will probably be substantially fewer of them.

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I spend a lot of time these days talking with companies about the need for a formal approach to enabling what is often called “discovery analytics” or “exploratory analytics.” What I find is that many people have a fundamental misunderstanding of what discovery analytics is all about.

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