"The key to analytics success is providing actionable data."
OK... but what does that mean, really? Here I am, a data warehouse and analytics design guy... how can I measure whether the systems I design are producing actionable data?
Dr. John Kenagy and I were talking this morning in preparation for an upcoming webinar and he mentioned actionable data a few times in the discussion, so we paused to ask ourselves, what does that really mean?
Here's our algorithm for Actionable Data:
- Pr: Personal. The data must be personal, appropriate to the role, and workflow specific
- Tf: Timely and fresh. The data must be timely, fresh, and high quality... no stale or bruised data fruit.
- Et: The person to whom the data is presented for action must be educated and trained about how to act in response to that data.