Data is a Product
Treat data like something people use, not something you produce.
Organisations invest heavily in data platforms, pipelines, models, dashboards and now AI. But producing more data doesn’t automatically create more value. Treating Data as a Product does.
From data delivery to DATA OUTCOMES.
That shift happens when we start treating Data as a Product. Understanding who uses it and why, solving real problems, making deliberate choices about what to build, creating an MVP, measuring whether it delivers value, and continually improving it.
In other words, applying product thinking to data.
A data product isn’t just a dataset, dashboard or API
It has customers.
It solves a problem.
It has a clear purpose.
It has an owner.
Its success is measured.
Change the questions.
Instead of
“What data can we provide?”
Ask
“What do our users need?”
Instead of
“Have we delivered it?”
Ask
“Is it being used, and is it creating value?”
Putting product thinking into practice
Learn. Apply. Improve.
Data is a Product is a practical resource for people trying to make that shift. Explore the emerging discipline of 'Treating Data as a Product' and Data Product Management, then use practical techniques from discovery and agile delivery to roadmaps, prioritisation, user research and measuring outcomes.