GaneevEcoWhy generic maturity scores don't help much
A generic 1-5 maturity score doesn't tell you which department to start with, what's blocking adoption, or whether your data governance is actually a bottleneck — the exact decisions leadership actually needs to make. It's a benchmarking exercise useful for comparing yourself against an industry average, not a planning tool that produces a concrete next step for your specific organization.
Worse, a single aggregate score can actively mislead by averaging together genuinely different situations across departments — a company that's advanced in one function and completely unstarted in another can land at the exact same overall "maturity level" as a company that's moderately underway everywhere, despite those being very different situations requiring very different next steps.
What actually predicts a successful rollout
- Whether there's a named owner accountable for adoption, not just a sponsor who showed enthusiasm at the initial kickoff and then moved on to other priorities.
- Whether your data and access boundaries are clear enough to connect a tool safely without a lengthy ad hoc review needed each time someone proposes a new use case.
- Whether at least one team has already found real, measurable value — proof beats a maturity score every time, since it demonstrates the pattern actually works in your specific organizational context.
A more useful way to frame the question
Instead of asking "how mature are we," a more useful question is "which of our departments has the clearest owner, the cleanest data access story, and the strongest early proof point," and starting there regardless of how that department compares to the rest of the organization on some abstract overall scale. That department-specific, concrete framing produces an actual next step, where an aggregate score just produces a number to report upward without a clear implication for what to do about it.
This reframing also tends to reduce unproductive internal comparison between departments, since the point isn't ranking teams against each other but identifying where the conditions for success are already strongest, wherever that happens to be in the organization, so the next investment of time and attention goes where it's genuinely most likely to succeed.
This reframing is also considerably easier to explain to a board or leadership audience than an abstract maturity score, since it points directly to something concrete and actionable — a specific department, a specific gap, a specific next step — rather than a number whose practical implication for what to actually do next isn't obvious without further explanation.
It's also worth involving a cross-section of departments directly in defining what "clearest owner" and "strongest early proof point" actually mean for your specific organization, rather than having a single central team apply their own assumptions uniformly everywhere. Different departments sometimes have genuinely different baselines for what counts as strong proof, and a definition built with their direct input tends to be trusted and adopted more readily than one handed down from a central planning function without consultation.