Posts tagged organization
So, You Hired a Data Scientist – Now What?

You’ve spent a lot of time and energy finding just the right person to fill your new data scientist role. The individual has settled into the position and is proving to be a successful hire for your organization. Looking forward, what can you do to retain the individual and help him or her stay engaged and successful?

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The All-Inclusive Analytics Organization

Whatever your favorite taxonomy or category of analytics, I’m here to argue that it doesn’t matter from an organizational standpoint. That is, I think all the categories should be supported by one organization. I’ll spend the rest of this post arguing why an inclusive approach is more effective.

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What Does It Mean To Be A Chief Analytics Officer?

I named this post, “What Does It Mean to Be a Chief Analytics Officer,” because the CAO role has a certain titular appeal. However, it’s sometimes the case that those who lead analytics functions for their organizations don’t have that exact title. And whether you’re a CAO, a “Director of Global Analytics,” a “Head of Science,” or a “Chief Data Scientist,” the job has some similar elements across organizations. This column is about the elements, not the specific title.

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Two Cheers For Situational Intelligence

A few months ago I heard and got excited about WindyGrid, a “situational awareness” system for the city of Chicago. According to this description, it’s a geographic information system that “presents a unified view of city operations—past and present—across a map of Chicago, giving key personnel access to all of the city’s spatial data, historically and in real time.” The system contains information on 911 and 311 service calls, transit and mobile asset locations, building status, tweets by geographical origin, and so forth. The system was designed by Brett Goldstein, then the city’s Chief Data Officer, who has since left the job.

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Analytic Teams Are Rapidly Reaching Critical Mass

Over the past year, I have seen a very positive and encouraging shift in my discussions with organizations about the analytic talent that they employ.  More and more discussions are about how to best structure an analytics organization as many companies have now found themselves with enough analytic professionals to make it necessary to figure out how to make the most of them.

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A Strategic Mistake With Big Data

Companies are scrambling today to understand what big data is and what they should do with it. Many have also come to believe that they’ll need to develop a strategy for big data, which is absolutely true. However, there is one major mistake that I am seeing a number of organizations make. That mistake is the development of a siloed, distinct big data strategy.

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The Rise Of Next Best Offers

Last week in the IIA we did a webcast for our Retail Analytics Research Council on “next best offers.” I’ve been doing some research on this issue with John Lucker and Leandro DalleMule from Deloitte. I don’t want to give away the punch line of the webcast—or the article we hope to write for Harvard Business Review—but I will provide a few reflections on it.

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