Research

We’ve quickly hit the time of year when the annual planning phase for most companies should be complete, and business leaders are now tasked with bringing to fruition the (likely) aggressive but attainable goals set before them. By virtue of the fact that you’re reading this, I’ll assume for the moment that you agree analytics, when applied intelligently, can be a tremendous tool to use in achieving these goals.

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Rather than striving for “perfect data” in all supply chain systems, my research suggests that primary efforts should be focused on the most fundamental yet most critical form of supply chain systems output: the spend analysis.

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There is an important analytics and business intelligence annual prediction that was largely overlooked for 2015. This noteworthy and developing trend is grounded in the healthcare industry. There is tremendous potential in the accelerated growth and proliferation of genomics, which is enabled by data accessibility, accompanied by clinician and researcher cooperation and collaboration.

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What’s Your End State Vision for the Internet of Things?

By Thomas H. Davenport, Feb 17, 2015

Visions evolve over time, and are never implemented quite as envisioned. But the IoT course is long and complex enough so that it can’t be accomplished without a vision. To contradict Alice of “Looking Glass” fame and George Harrison, if you don’t know where you’re going, any road will not take you there.

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Is Your CEO Out of Touch or Being Misled?

By Bill Franks, Feb 12, 2015

As your organization continues down the path of being data-driven, consider a survey of how wide the gap is between your CEO, senior management, and the broader employee base when it comes to the use of data and analytics in the organization.

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A Talent Playbook for Analytics 3.0

By Emilie Harrington, Feb 10, 2015

A roadmap for Analytics 3.0 not only addresses your current and target state in terms of talent, but also should address the broader capabilities including technical infrastructure, business processes, data ecosystem, and governance structures to drive it.

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I was recently a presenter at an analytics conference where a speaker in the customer marketing tracks said something that stimulated my thinking. He said, “Just because something is shiny and new, or is now the ‘in’ thing, it doesn’t mean it works for everyone.”

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Data Offense and Defense

By Thomas H. Davenport, Jan 28, 2015

I am a New England Patriots fan, and with the team facing off against the Seattle Seahawks in the big game this Sunday, I’d like to touch on the subject of offense and defense.

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Last year around this time I made a lot of predictions about what 2014 would hold in store for supply chain… Let’s revisit some of these, and see what has happened (or what hasn’t!) Here are my predictions from 2014, and an update on what I think will happen in these areas.

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Making Sense of the Third-Party Data Economy

By Thomas H. Davenport, Jan 13, 2015

When I think of the data economy, I usually focus on either online firms like Google and LinkedIn, or large, established companies like GE and Monsanto that have invested in data and analytics-based products and services for their customers. These companies use their own data to develop their own products and services. But there are certain advantages from having third parties do this sort of work for you. They can provide independence, scale, and processes that are solely focused on helping to monetize your data.

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