Data productization
From scattered datasets to data products with an owner, a backlog and a purpose
A data product is only as good as the ownership around it. We act as (interim) data product owner, or help you set up the product operating model: who decides, how work is prioritised, and how value is made visible.
In short
Interim data product owner, backlog management and a product operating model for data. Clear ownership, priorities and value. Senior-led by ThinkEOS.
Typical results:
- A prioritised, refined backlog and a working intake process
- Data product definitions with owners, consumers and quality expectations
- Product operating model: roles, routines and governance touchpoints
How to start: a free 30-minute intro call with a senior consultant, then a short assessment.
Sounds familiar?
- Every request is urgent, and the data team cannot say no to anything.
- Datasets are built once and then nobody feels responsible for them.
- Business and IT discuss solutions before agreeing on the problem.
- Management asks what the data team delivers, and the answer is a list of tickets.
What we do
- Take the role of interim data product owner or product manager for one or more data products.
- Set up and run backlog management: intake, refinement and prioritisation together with business and engineering.
- Design the product operating model for data: roles, ceremonies, portfolio view and the link to funding and value.
- Define data products explicitly: consumers, data contracts, quality expectations and service levels.
- Use structured business analysis, including the POPIT model, to make sure changes land in the organisation, not only in the system.
- Report on delivery and value in a way that steering committees understand.
What you get
- A prioritised, refined backlog and a working intake process
- Data product definitions with owners, consumers and quality expectations
- Product operating model: roles, routines and governance touchpoints
- Delivery and value reporting for stakeholders
Why ThinkEOS for product ownership
ThinkEOS brings four years of hands-on product-owner and application-owner experience in large organisations, on top of BI and data delivery since 2008. We know the technology well enough to challenge estimates, and the business well enough to challenge requests.
Frequently asked questions
What is the difference between a data product owner and a project manager?
A project manager delivers a scope on time. A data product owner is accountable for the value of a data product over its lifetime: what gets built next, for whom, and what is deliberately not built.
Can you work as interim product owner in our team?
Yes. Interim product ownership is one of our most common engagement formats, with a clear handover to an internal product owner when you are ready.
What is the POPIT model?
POPIT is a business analysis model that looks at People, Organisation, Processes, Information and Technology together, so that a change is considered from every angle before it is implemented.
Give your data products an owner
A 30-minute call with one of our senior consultants. No sales pitch. You get an honest view on where to start and whether ThinkEOS is the right fit.