dataproduct

Dataproduct is a product whose primary value is derived from data or data-driven insights, delivered to users through accessible interfaces such as APIs, dashboards, or data feeds. It is designed for repeatable use and measurable impact, rather than a one-off analysis. A dataproduct combines data engineering, data science, and product management to create a reliable, governed, and user-centric offering.

Key characteristics include a defined user persona, a data contract or API specification, data quality and lineage, latency and reliability requirements, documentation, onboarding, security and access controls, and governance. It emphasizes usability, discoverability, and maintainability, treating data as a product with a roadmap, service level expectations, and ongoing support. A dataproduct typically includes clear ownership, versioning, and a lifecycle plan to evolve with user needs and data sources.

Lifecycle and governance are central to dataproducts. The process usually spans ideation and discovery with stakeholders, data sourcing and pipeline construction, modeling or transformation, delivery through an interface, monitoring, feedback, and iteration. Ongoing evaluation focuses on usage, value delivered, data quality, and compliance with privacy and ethics standards. Risks include data quality issues, privacy and security concerns, and potential bias or misinterpretation of outputs, all managed through governance, auditing, and robust access controls.

Common examples include data APIs that expose internal or external datasets, analytics dashboards that summarize operational metrics, data feeds for partner systems, and model outputs used to inform decisions. Dataproducts aim to scale data-driven value while maintaining trust and control.