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About the White Paper
As organizations increase investment in artificial intelligence, many struggle to move beyond experimentation and deliver AI at scale. The Data Product Advantage: How Organizations Scale AI Successfully presents findings from a 2026 global research study conducted by BARC in partnership with Actian, based on responses from more than 300 enterprise data leaders across industries and geographies. The research examines how data product adoption is reshaping the way organizations organize, govern, and deliver data—and why it has become a critical enabler for successful AI initiatives.
The study shows that data products have moved from early experimentation into the roll‑out phase, with many organizations already using them across multiple teams or establishing them company-wide. The primary drivers for adoption center on the need for trustworthy, reusable data—particularly to support AI use cases and enterprise decision‑making. Findings reveal a strong correlation between mature data product usage and higher numbers of AI projects in production, as well as a significantly greater likelihood of deploying agentic and autonomous AI systems.
In addition, the research highlights how scaling data products shifts organizational priorities toward improved data observability, automated governance, data contracts, and broader consumer access. By positioning data products as a foundational element of the AI stack, the paper demonstrates how organizations can improve reliability, accelerate deployment, and create the conditions necessary for AI to scale sustainably. Ultimately, The Data Product Advantage frames data products not as an architectural trend, but as a strategic operating model for delivering AI‑ready, trusted data at enterprise scale.
