Why Companies Might Not Be Getting the Best Out of Data Scientists

Why Companies Might Not Be Getting the Best Out of Data Scientists

Data scientists are among the most in-demand professionals in the US right now, as more and more industries look to harness the power of data to drive productivity and innovation to new heights. Demand is high and supply is short, so these experts command remarkably high salaries. However, recent research has suggested that many companies’ data isn’t sufficiently high-quality to produce the kinds of insights managers are expecting. This is particularly true in the emerging field of talent analytics, where companies are making major investments but most aren’t seeing them pay off.

In addition to the data quality challenge, Data Quality Solutions President Thomas C. Redman suggested in a recent Harvard Business Review article that senior managers at many organizations are mismanaging their data scientists: placing them in the wrong part of the organization, not focusing the data science program on business outcomes, and not facilitating a transition to a more data-driven culture. He offers some suggestions for how companies can get more out of their data scientists:

First, think through how you want data scientists to contribute, and put them in spots where they can do so. The worst mistake a company can make is to hire a cadre of smart data scientists, provide them with access to the data, and turn them loose, expecting them to come up with something brilliant. Lacking focus and support, most fail. Instead, clearly define the opportunities you want to address using data science, and put your data scientists in places in the organization where they can best pursue those opportunities. …

Read more