6 steps for leading successful data science teams

An increasing number of organizations are bringing data scientists on board as executives and managers recognize the potential of data science and artificial intelligence to boost performance. But hiring talented data scientists is one thing; harnessing their capabilities for the benefit of the organization is another.

Supporting and getting the best out of data science teams requires a particular set of practices, including clearly identifying problems, setting metrics to evaluate success, and taking a close look at results. These steps don’t require technical knowledge and instead place a premium on clear business thinking, including understanding the business and how to achieve impact for the organization.

Data science teams can be a great source of value to the business, but failing to give them proper guidance isn’t a recipe for success. Following these steps will help data science teams realize their full potential, to the benefit of your organization.

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