The following five steps, as put forth by two Press Ganey analysts, can be used to fix data overload:
1. Group data consumers based on their level in the organization and measures that match their responsibilities.
2. Determine how to create value for each level of the data’s consumers.
3. Integrate data to gain more insights to avoid compartmentalization.
4. Establish priorities so managers at all levels can ask, “Which three things should I focus upon?”
5. Format information in the most helpful way to its users.
More information on these five steps can be found here.
