Case Study
The data dividend: How the C-Suite is turning information into impact
An executive exploration into how Chief Data Officers (CDOs) are transitioning from data stewards to value drivers. Discover the strategic shifts required to turn enterprise information into a sustained "data dividend" for the AI era. Move beyond data management. Discover how the modern CDO is bridging the gap between data strategy and AI-driven revenue.
- Topic
- Data Management and Analytics
- Published
- 10 May 2026
The role of the Chief Data Officer has reached a turning point. While budgets for data strategy are skyrocketing, many leaders still find themselves unprepared to turn that investment into new revenue streams. The challenge isn't just having the data—it's making that data work for AI in a way that is governed, trusted, and scalable.
In this executive report, "The Data Dividend," we explore the evolving priorities of today’s data leaders. From the shift toward decentralized AI to the hurdles of governing autonomous agents, learn how your peers are navigating the crossroads of information and impact.
Key Highlights:
The Data Dividend: Leading organizations are now focusing on turning raw information into measurable business impact and competitive advantage.
Budgetary Shift: Data strategy allocation has more than tripled, rising from 4% of IT budgets in 2023 to 13% today.
Revenue Readiness Gap: Only 26% of CDOs currently believe their data capabilities are sufficient to drive new AI-enabled revenue.
Articulating Value: 86% of leaders agree that those who struggle to define the value of the CDO role jeopardize their organization’s success.
Decentralized AI: 81% of CDOs prefer bringing AI to where the data resides rather than attempting to centralize all data for AI.
The Agent Trust Gap: 79% of organizations are still in the process of defining how to scale and govern autonomous AI agents.
New Data Roles: 82% of CDOs are hiring for entirely new roles that did not exist last year, primarily focused on generative AI.
Alignment of the C-Suite: Success requires the CIO, CDO, and CTO to align priorities to deliver AI-ready data at scale.
Responsible AI: A focus on scaling AI responsibly to create sustained competitive advantages.
Integration Challenges: Modern leaders must simplify integration to leverage existing investments for measurable business value.
Service Partnerships: Organizations are increasingly looking to partners to help curate data and AI strategies for long-term impact.