معلومات عن هذه الحلقة
Ust is CDO at Advancing Analytics, and he thinks most data teams spend too much time on the platform and not enough on the products that sit on top of it. He explains what actually makes something a data product, why taking orders from a ticket queue ends up killing data teams, and how AI lets you prototype with real data before you lock down requirements. He also covers what to do once the product is built, from selling it across the business to knowing when to retire it.
We cover:
- Why a good platform is only a small part of the journey, and how data teams lose sight of the products on top of it
- What makes something a data product, and why he defines it as valuable, usable, feasible and viable
- Why treating internal users as customers, and asking about their problems rather than what they want, changes what you build
- How to prototype with AI using real data, when to kill a prototype, and when to start productionising it
- How to drive adoption once it’s built, from roadshows and enablement to using usage data to know when to retire a product
Links and resources:
Advancing Analytics: https://www.advancinganalytics.co.uk/
SunBeam data product framework: https://www.advancinganalytics.co.uk/sunbeam-data-product-framework
Inspired by Marty Cagan: https://www.amazon.co.uk/dp/1119387507
Good Services by Lou Downe: https://www.amazon.co.uk/dp/9063695438
Team Topologies by Matthew Skelton and Manuel Pais: https://www.amazon.co.uk/dp/1966280009
