Structuring Your Data Team: 9 Best Practices

Hire or grow from within? Structuring a data team isn’t easy because there’s no one way to do it right. Here’s a look at some the pitfalls and best practices. 1 of 10 Structuring a solid data team would be a lot easier if there were a common blueprint that worked equally well for all organizations. However, since each organization is unique and change is constant, companies must continually reassess their needs. Technology hype and competitive pressures tend to frustrate strategic thinking, however. Instead of defining goals and identifying problems that need to be solved up front, organizations sometimes acquire technology or talent without a plan, which tends to negatively affect ROI. “You need to have a really well-defined business case beforehand,” said Jonathan Foley, VP of science at a…


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