Speeding Data Product Delivery from Model to Marketplace
summary
Blueprint claims a model-first start that moves a data product from design to an internal Marketplace in seven repeatable steps, using a catalog to automate inventory and lineage, automated data-quality monitoring, and AI-powered scoring that labels products gold/silver/bronze. It shows integration of third-party data, lifecycle checks that detect drift and trigger retraining, and roles/ownership to stop “fire-and-forget” releases. Demonstrations include measurable adoption via the Marketplace and catalog-driven automation to cut delivery bottlenecks.
AI-written summary · about
chapters (6)
- 0:00Welcome
- 2:55Data vs software blur
- 6:30Governance as a driver for faster delivery
- 10:01Modeling foundation
- 12:54Data intelligence basics
- 16:24Start governance now
related talks
16mProduct Eyes – Seeing Data In A New Light To Build Valuable Products
43mWhen design meets data: Using Data Mesh for a consumer and business-driven data strategy
42mFrom Zero to Data as a Product in 60 Days: Anatomy of a Successful Data Product Launch
22mData as a Product: Transforming Analytics for Business Success
14mBuilding a Data-Driven Culture: An Anthology of Strategies and Insights
13mData for product
29mBecoming a data-driven enterprise
30mData Mesh – Architecture And Insights From The Self-service Platform Boosting Financial Services
