Many transformation programs stall because firms attempt to fix data and processes simultaneously, often leading to duplicated effort, rework, and unclear outcomes. This session provides a framework for deciding whether to focus on data or process improvements first, maintaining execution and efficiency.  

• Diagnosing whether inefficiencies stem primarily from data fragmentation, process design, or a combination of both
• Applying structured frameworks to prioritize transformation initiatives based on impact, complexity, and dependency
• Establishing clear success metrics to track progress and validate outcomes at each stage of the journey