A **data product** is a reusable [[Data management|data asset]] or application that delivers a specific set of data to satisfy the needs of its consumers, typically within a business or analytical context. Data products are designed to be discoverable, trustworthy, and self-describing, treating data as a product rather than a byproduct of operational systems. The concept has gained prominence alongside the rise of [[Data mesh|data mesh]] architecture, [[Data engineering|data engineering]] practices, and the broader shift toward [[Data-driven decision-making|data-driven decision-making]] in organizations. Data products can take a variety of forms, including curated [[Dataset|datasets]], [[Application programming interface|APIs]], [[Dashboard (business)|dashboards]], [[Machine learning|machine learning]] models, and [[Data pipeline|automated data feeds]]. What distinguishes a data product from raw data is the application of product management principles: each data product typically has a defined owner, a clear [[Service-level agreement|service-level agreement]], documented [[Metadata|metadata]], and quality guarantees. This product-oriented approach contrasts with traditional centralized [[Data warehouse|data warehouse]] and [[Data lake|data lake]] models, where data is often managed as a shared utility without clear ownership or consumer focus. The data product concept is closely associated with the [[Data mesh|data mesh]] paradigm introduced by [[Zhamak Dehghani]] in 2019, which advocates for [[Domain-driven design|domain-oriented]] decentralization of data ownership and architecture. In a data mesh, each business domain is responsible for publishing its own data products, adhering to organizational standards for [[Interoperability|interoperability]] and [[Data governance|governance]]. The approach has influenced modern [[Data architecture|data architecture]] strategies and is increasingly supported by platforms offering [[Data catalog|data catalog]], [[Data lineage|lineage tracking]], and [[Data quality|quality monitoring]] capabilities.