What should payers consider before diving into a data lake?

As payers try to determine the best way to gain insights from the massive amounts of data at their disposal, they may consider building a "data lake"—a centralized repository that can store both structured and unstructured data. But this is an undertaking that requires careful consideration of several factors, as well as buy-in from across the enterprise.

In a new article for HIT Consultant, Cotiviti's Sumant Rao, senior vice president and business owner of performance analytics, offers payers seven steps for success when embarking on their data lake journey, including:

• Determine where your organization sits on the spectrum of science adoption
• Involve data scientists in the project from the beginning
• Plan a rapid, but incremental rollout

Check out Sumant's article in HIT Consultant to learn more.