Services / Data
Data product management
Data product management means running data the way a product is run: every dataset, metric and platform has an owner, known users, a roadmap and a measure of whether it is used.
Nilaad sets this up for companies whose data teams deliver a lot and still struggle to show what changed because of it.
When to call us
Have a data or technology challenge that looks unsolvable?
Book a 30-minute call. We will help you.
Book a 30-minute callCommon signs
- Requests arrive as tickets and nobody decides which ones matter.
- One metric has several definitions and no owner.
- You are moving to a data mesh or domain-owned model and need the product side worked out.
- Self-serve tools exist and few people use them.
What we do
- Define your data products: what they are, who uses them and who owns them.
- Build a metric catalog with one agreed definition and one named owner per metric.
- Set up the roadmap, intake and prioritization for the data team.
- Design the operating model: the central platform team, the domain teams and the contract between them.
- Put usage measures in place, so that adoption is tracked the way product usage is.
- Coach your data product manager, or act as one until you hire.
What you have at the end
- A map of your data products with owners
- A metric catalog
- A roadmap with an intake process
- A usage report your leadership can read
Questions
What is a data product?
A data product is a dataset, metric, model or tool built for a defined group of users and maintained by a named owner. A revenue metric with one agreed definition is a data product. So is a customer table that marketing and finance both rely on.
How is this different from data governance?
Governance sets the rules: who may access what and how quality is checked. Data product management decides what gets built, for whom, and whether it is being used. In our view a company needs both, and they work better when one person sees both.