A data product is a curated, ready-to-consume bundle of data assets built around a use case — for example Market share insights or Customer 360° data. Instead of pointing colleagues at individual reports and tables scattered across the catalog, you package the relevant assets together, back them with a contract, and publish them as a single, trustworthy product.
Data products live in their own section of dScribe: the Data Product Marketplace.
The Data Product Marketplace
Open the Marketplace from the icon in the left navigation. It shows every published data product as a card — with its name, version, audience (for example Internal), owner, business domain, and a quality indicator — and a search box to filter the list. Use Create Data Product in the top right to add a new one.
What's in a data product
A data product groups together a collection of existing catalog assets — reports, datasets, and/or definitions — that belong together for a given use case.
Each product is also backed by a data contract: a versioned agreement that captures its lifecycle status, audience, service level agreements (SLAs), data quality rules, and the source systems it relies on. The contract is what turns a loose collection of assets into a dependable product. See Data Contracts for the full breakdown.
Why use data products?
The catalog is comprehensive on purpose: it catalogs everything — every report and dataset in your organization. That's exactly what you want when you're monitor or govern your data landscape, but it's a lot to wade through when you simply want to browse which data you can trust for a specific job.
Data products add a curated layer on top of the catalog. By bundling vetted assets around a use case, backing them with a clear contract, and publishing them in the Marketplace, you give consumers a short, trustworthy shelf of ready-to-consume data — the fastest path to getting the right data into the right hands.
In short: the catalog answers "what data do we have?" — the Marketplace answers "what data can I confidently use for my use case?"
Where to go next
→ Data Contracts — a contract with guarantees on the data included in your data product
→ Data Quality — define quality rules to increase data accuracy & reliability
→ Relations — see how the assets inside a product relate to each other
Have a question or can't find what you're looking for? Use the chat icon inside the catalog to reach the dScribe support team.