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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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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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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What Business Leaders Can Learn From Intelligence

By Thomas H. Davenport, Dec 16, 2014

There is little doubt that the intelligence sector in the US - including the Central Intelligence Agency or CIA, National Security Agency or NSA, parts of the Federal Bureau of Investigation or FBI, Homeland Security, and many other agencies - and elsewhere is quite accomplished at several aspects of data management and analytics. It’s also clear that businesses can learn from these organizations in several respects. Below are a few lessons from which business leaders could draw.

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Predictions for Analytics in 2015

By IIA Faculty, Dec 10, 2014

Available to ERS Clients and Professional Members

Each year, IIA asks its faculty and leadership to offer perspective on what the world of analytics will look like in the coming year. This year we also solicited predictions from our diverse community of analytics practitioners. The following ten predictions were selected by a panel of judges to represent IIA’s outlook for 2015:

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The Privacy/Value Tradeoff

By Thomas H. Davenport, Nov 28, 2014

Unless you are willing to become a recluse and go completely off the grid, you are stuck with a high degree of transparency of your personal data. The only real course of action is to be selective in the services and relationships you consume that affect your privacy.

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Minds + Machines: A New Generation of Analytics

By Thomas H. Davenport, Oct 02, 2014

If a huge, big-iron-focused company like GE can jump headfirst into the data economy, any firm should be able to do it.

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The Data Product Era Begins in Financial Services

By Thomas H. Davenport, Sep 18, 2014

It’s evident that financial services are going to be very interesting users of big data over the next few years. Of course, there will be important regulatory and consumer privacy issues to navigate. It will also be important to figure out just how to make money from these data products.

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Big Data Underachievers

By Thomas H. Davenport, Sep 04, 2014

The big data underachievers are companies that have had a lot of data for a long time, but haven’t done much with it. They had big data before big data was big, but for various reasons they simply didn’t use it to improve their business.

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Plan for Big Data Like It’s 2000

By Thomas H. Davenport, Aug 21, 2014

What kinds of activities and decisions should a company pursue as it wrestles with its big data strategy? I see two major decisions at first, and then several others that follow from them. I’ll use Monsanto as an example, since it is a company that is clearly moving from being a provider of seeds and herbicides to one that provides data and analytics-based products and services.

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