ONE DATA | DATA PRODUCT MARKETPLACE
Your data is ready.Your teams shouldn't have to wait for it.
See how the Marketplace fits into the full One Data platform and start finding and using trusted data products today.
One DataData Product Marketplace
The One Data Marketplace is a central self-service hub where teams can discover, evaluate, and access high-quality data products — without bottlenecks, gatekeepers, or tickets. It removes the barriers between the data your organization produces and the people who need it to make decisions. Self-service access, built-in governance, and full transparency keep your organization moving.
All data products in the Marketplace are fully searchable and filterable by business domain, owner, quality or status. Before requesting access to a data product, you can review details giving you full confidence in the data before you commit to using it.
Not finding what you need? Simply click “Create new Data Product” and kick off the process directly from the Marketplace.
No more chasing approvals through email chains or ticketing systems. Request or grant access to a data product in one guided flow, directly inside the platform. Once approved, you know exactly which source system holds the data and how to connect your preferred BI or analytics tool to it. Getting to the right data has never been more straightforward.
AI supports you throughout the entire creation process: it generates the description, purpose, and limitations, recommends the right data assets, and enriches your data product with semantic context so business users can create trusted data products without relying on engineering teams.
Once your data product is specified, the Code Automation takes over. It generates the code, quality checks, and deployment artefacts for your target system and reduces manual engineering setup. Publish your data product straight back to the Marketplace, ready for your team and others to discover and use.
Data products in the Marketplace are built to be reused. Every published product follows consistent governance standards, quality checks, and documentation, so teams across your organization can confidently build on the same foundation without recreating work that already exists.
Producers benefit too: they gain visibility into who is using their data products, how often, and what feedback consumers provide. This creates a continuous loop of quality improvement that makes your data assets more valuable over time.