Healthcare organizations today have access to so much data from across their systems that they may struggle to know where to focus quality improvement efforts. An analytic framework and a stepwise process ensures organizations have broad data access and can identify the most significant opportunities for impact. With a strategic, data-informed approach to clinical quality improvement, health systems can consume fewer resources, discover cost savings, and improve ROI and the quality of care. Three steps comprise an effective quality improvement process: 1. Adopt a healthcare-specific, open, scalable data platform. 2. Identify improvement priorities using the 80-20 rule. 3. Gain consensus from clinical teams on specific projects and goals.