Premium Content

Access "Split personalities put data scientists in play"

Claudia Imhoff and Colin White Published: 20 Nov 2012

Data scientists are a new type of analyst: part data engineer, part statistician and part experienced business analyst. And they’re in high demand: Companies are combing through resumes and job websites, interviewing recent university grads and poaching from their competitors in an effort to bring these new talents into their organizations.  Of course, we’ve had statistical analysts—or “quants”—in our organizations for years. They’re often doctorate-bearing, white-jacketed folks who spend their days in the rarified towers of the back office. Unfortunately, while they are great at analyzing data, they are not always the best at explaining their findings to corporate executives and lower-level business workers in understandable terms. In many cases, it is nearly impossible to get clear answers from them to questions such as the following:  I see the trends, but why are they important and what should I do to change them? What impact will changing customers’ buying behaviors have on our revenues?  How do we change the causes of negative effects to produce more ... Access >>>

Access TechTarget
Premium Content for Free.

By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States. Privacy

What's Inside


More Premium Content Accessible For Free

  • Tap into enterprise data governance for business value
    Benchmark Report

    Data governance is all about managing data as a business asset and ensuring that data is accurate, consistent, integrated, timely, complete and ...

  • Big data buying decisions call for open eyes and minds

    Big data management and analytics programs can provide competitive advantages and help drive increased revenue, but getting started on them -- and ...

  • Big data deployments: Maximizing their value, minimizing mistakes

    Big data projects are becoming more common as companies seeking a competitive edge look to take advantage of an increasing variety of information ...