The analytics-to-action loop is broken, and increased adoption of AI will only amplify existing flaws if structure and discipline are not put around it.
RAND researchers documented the root causes: wrong problem framing, poor data practice, technology prioritized over the problem, inadequate deployment, and no lifecycle management. The IAF provides repeatable practices and methods to avoid every one of them.