Are You Setting Your Data Scientists Up to Fail?

Getting as much as they can from analytics is critical for companies seeking to monetize their data, become data-driven, and put their data to work. Yet most find this difficult. Indeed, the failure rate of analytics projects remains distressingly high.

A key reason for this is that senior managers fail to manage their data scientists properly. Many fail to focus the data science program, or they put data scientists in the wrong spots in the organization; others view the data science as a technical, not business, initiative; and still others underestimate how resistant their organizations are to change, and do not fully equip data scientists to change hearts and minds.

Author: Thomas C. Redman


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