For over two decades, organizations have pursued a common ambition to become “data-driven,” focusing on improving access to data, scaling analytics, and building modern platforms. With that ambition now largely within reach, data and AI leaders are facing the next frontier: how to progress from insight access to translating intelligence into consistent, high-quality decisions.
The Rise of Decision Intelligence examines how leading organizations are responding to this shift in practice.
Key findings
- 47% of data and AI initiatives are now decision-bearing, with 26% embedded directly into workflows
- Access to AI is no longer a differentiator—most organizations are using similar tools and platforms
- The highest-impact initiatives start with decisions, not data or models
- Value is created through systems, not individual models
- Workflow integration determines impact—if workflows don’t change, intelligence remains underused
- Data and AI leadership is shifting from capability delivery to outcome ownership
“The era of the dashboard CDO is over. Over the next 12–24 months, the job shifts from arranging insights to orchestrating action. The most successful data and AI leaders will stop being passive stewards and become chief decision and value officers.” — Sushma Punuru, Global Chief Data Officer, Global Payments
Download the full report to explore the emerging operating structure of decision intelligence, success factors, and the expanding mandate of data and AI leaders as they deliver the next phase of enterprise transformation.
