*Create the role of chief analytics officer -- Employed by organizations in diverse industries, including Duke University Heath Center, Macy’s, GoDaddy, EY, and even the City of New York, this role is responsible for mapping analytics needs and use cases throughout an organization. With a direct line to the C-suite, chief analytics officers match business needs and problems with analytics technology for answers.

*Form a cross-functional analytics team -- Bringing HR, marketing and other functional personnel together with IT can be one of the most beneficial ways to bridge the gap between IT and end users. Enabling these users to become citizen data scientists and use predictive analytics for their own unique needs creates meaningful results for everyone involved.