Ask who owns the day-ahead load forecast in a utility and you often get three answers: the procurement cell has one, the trading desk has another, finance uses a third. Each is rebuilt, slightly differently, from the same meter and weather data.
What a data product is
What every energy data product carries
How we build them in the factory
| Element | Example |
|---|---|
| Owner | Discom power-procurement cell |
| Contract: schema | 15-minute blocks, MW, with confidence band |
| Contract: freshness SLA | Published by 09:00 IST for DAM bidding |
| Quality checks | Completeness, holiday handling, range checks |
| Lineage & access | From meters and weather to every subscriber; DPDP Act rules applied |
Note: Illustrative example.
The marketplace
Products are published to a catalog with business metadata and a glossary. The trading desk, discom operations, generation, finance and regulatory teams search it, request access and subscribe; owners approve. Selected products can be shared with partners, and third-party data — weather, fuel, carbon — bought into the same catalog.
How it maps to AWS
Amazon SageMaker Catalog, built on Amazon DataZone, lets producers group assets into well-defined, self-contained packages called data products, publish them with business metadata, glossary terms and metadata-enforcement rules, and route subscriptions through approval, with access granted through AWS Lake Formation or Amazon Redshift. AWS Data Exchange is the external marketplace, with 3,500+ data products from 300+ providers delivered to Amazon S3, as Redshift tables or through APIs. The same pattern runs on Azure or on-premise.
Where to start
Start with the three products the trading desk and the discom both need — day-ahead load forecast, RE forecast and DSM exposure — give each an owner and a contract, publish them in a catalog and count the copies you retire.