Data Collection

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Does Your Company Collect Data — Or Hoard It?

As it has become clearer that data offers value to companies, some organizations are tempted to take a “more is better” approach. But there’s a fine line between collecting data that offers value and hoarding data, which ultimately proves counterproductive. Ransbotham’s Three Laws of Data Collection offer guidance.

Veronika Belokhvostova, head of Global Business Analytics at PayPal.

Mining Data at PayPal to Guide Business Strategy

“The kind of people we hire want to know that their work is not gathering dust on some shelf, but has a real impact on the company,” says Veronika Belokhvostova, head of Global Business Analytics at PayPal. And indeed, business analysts there are collaborating with business leaders to answer the “what should we do next?” question.

“Eye” by artist Tony Tasset in Laumeier Sculpture Park, St. Louis, MO. Image courtesy of Flickr user warmestregards.
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How Much Data is Too Much Data To Mine?

Do you know how much data is being collected about you at any given time by any given organization? Concerns about privacy in the new era of big data are making the rounds at many companies and being discussed by universities, governments and global institutions. This blogpost discusses some of the major privacy concerns about big data, how to address them and has a special focus on Equifax, the credit company that has 800 billion records with details on 500 million consumers and 81 million businesses in 17 countries.

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New tools help predict consumer tastes

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“Creating successful cultural products will always be a mixture of art and science,” write Thomas H. Davenport and Jeanne G. Harris in MIT Sloan Management Review. “It appears, however, that the amount of science in the mixture is increasing.”

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Improve Data Quality for Competitive Advantage

ERRORS IN DATA CAN COST A COMPANY MILLIONS OF DOLLARS, ALIENATE CUSTOMERS, AND MAKE IMPLEMENTING NEW STRATEGIES DIFFICULT OR IMPOSSIBLE. The author describes a process AT&T uses to recognize poor data and improve their quality. He proposes a three-step method for identifying data-quality problems, treating data as an asset, and applying quality systems to the processes that create data.

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