Whitepaper
Turning Data into a
Revenue Stream:
Built On Databricks
A Strategic Guide
For twenty years, data platforms have been sold as a cost saving - useful, but finite. You can only save a cost once.
This guide, built on a Databricks lens, sets out how to turn data you already hold into net-new revenue - through data products, embedded intelligence, and the emerging market of AI agents as customers.
Download the flyer
What's inside?
Six ways to package a data asset
From data-as-a-product to embedded intelligence and synthetic data - with real-world examples from Stripe, John Deere, Walmart and Tink.
A commercial discovery framework
Six risks - demand, rights, definition, margin, distribution, ownership - and how to retire each one before committing engineering time.
Knowing when not to monetise
A Porter's Five Forces lens for judging whether a data product strengthens or erodes your competitive position.
Built for the machine consumer
What changes when your customer is an AI agent querying an API, not a person reading a dashboard - and how to price, govern and secure for it.
Author
Ust Oldfield | Field Chief Data Officer
Advancing Analytics
Endorsed by
