A data product is a curated dataset, analytic model, or AI-enabled application packaged and managed to deliver specific, repeatable business value. Unlike raw data assets, a data product is treated as a product in its own right, with defined ownership, metadata, quality standards, and usability criteria. Data products are reusable across business units, reducing redundancy and creating consistency for analytics and AI initiatives. They embody the “data as a product” principle central to modern approaches such as data mesh, where domains publish data products that can be consumed across the enterprise. A robust data product includes clear lineage, governance, and accessibility, making it a trusted building block for analytics, AI, and decision-making.