Dashboards don’t pay the bills. Products do.
Cynozure’s point of view on product thinking and return on data and AI investment.
A Chief Data Officer we worked with once proudly showcased the 150 dashboards her team had rolled out. Pipelines were humming, models refined, and a shiny new cloud platform gleamed.
Except the COO leaned over and whispered, “Nobody actually uses them.”
That’s the thing, output doesn’t equal outcome. Dashboards might look good in board packs, but they don’t pay the bills. Products do.
Why outputs aren’t enough
For years, organisations have measured success in data by deliverables: reports shipped, terabytes processed, models “in production.”
However, for leaders in the business, like the CFO, if it doesn’t move the P&L, it doesn’t matter.
That’s why so many initiatives fail to deliver ROI. Not because the technology is wrong, but because they’re run like projects. Projects have start and end dates. They produce outputs. And then they fade away.
Products, on the other hand, live. They evolve. They deliver outcomes, revenue generated, costs reduced and risks mitigated.
From projects to products
So, what makes something a product?
- Products have owners — someone accountable for success
- Products solve real problems — designed with users, not for them
- Products evolve — updated, improved, sometimes retired
- Products prove their worth — measured in outcomes, not outputs
Think of:
- A claims model in insurance that cuts settlement cycles
- A recommendation engine in retail that lifts basket size
- A predictive triage tool in healthcare that reduces wait times
- A predictive maintenance system in manufacturing that reduces downtime
Each is a product. Each is tied to the P&L.
The lab and the factory
To make product thinking real, organisations need two complementary gears:
- The lab: Messy, experimental, high-failure by design. If ten ideas enter and two survive, that’s success
- The factory: Disciplined, governed, scalable. Proven ideas are hardened into reliable products
Too much lab = pilot purgatory.
Too much factory = stifled innovation.
The balance is where real return on data investment is created.
Return on data investment: A new north star
Every executive understands ROI. Return on data investment applies the same logic to data. It asks: “What are we getting back for what we put in?”
Product thinking makes return on data investment measurable:
- Every product starts with a clear value hypothesis
- The lab → factory pipeline creates natural checkpoints for proving value
- Products live long enough to show adoption and P&L impact
Dashboards nobody uses = negative return on data investment.
Products that change behaviour = positive return on data investment.
The culture and the accountability
To embrace product thinking, culture and roles need to shift.
- Failure isn’t a waste. See it as filtering ideas to find the next big win
- Accountability moves from output to value
- Celebrate failures, learn and move on quickly!
At Cynozure, we see this best delivered through a triad of accountability:
- Business Owner — defines the problem and measures success
- Data Product Owner — manages the underlying data assets
- Analytics/AI Product Owner — translates data into solutions that solve the problem
Together, they own the journey from lab to factory — and they are measured not on delivery, but on outcomes.
Cynozure’s point of view
At Cynozure, we believe this is the future of data: improved decisions and better return on data investments through product thinking.
This is where data products move from dashboards and models to directly shaping better decisions across the business — decisions that reduce costs, grow revenue and mitigate risk.
That’s how you finally connect data to the P&L.
Where to start
If you’re ready to move beyond outputs and make data pay the bills, we recommend three practical steps:
- Audit your portfolio: Which initiatives are genuine products, and which are just “output theatre”?
- Pick a lighthouse product: Choose one initiative with high value and visibility to showcase return on data investment in action
- Redesign governance: Establish Lab/Factory stage gates. Celebrate kills. Demand return on data investment at every checkpoint
Closing thought
Dashboards don’t pay the bills. Products do.
At Cynozure, we help organisations make this shift. We work with leaders to reframe data around return on data investment, embed product thinking, and build Decision Intelligence that delivers real, measurable impact.
Interested in exploring this with us? Get in touch — we’d love to share how other organisations are already creating better return on data investment through product thinking.
