CRUISE Framework: A Scientific Approach to Prioritizing Analytics Projects

The business world is experiencing significantly increased interest in leveraging data and analytics to solve problems, and with good reason. According to Gartner, “by 2024 organizations that lack a sustainable data and analytics operationalization framework will have their initiatives set back by up to two years.”

But in any large organization, the number of problem statements runs into the hundreds. Analytics leaders need to follow a scientific and pragmatic approach to prioritize these analytics use cases. That’s where the CRUISE (complexity, ROI, universality, integrity of data, strategic alignment and ease of implementation) framework comes into play.

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