Analytics consulting
Modern analytics, with Lean Six Sigma rigor behind it.
Independent consulting for leaders making consequential decisions about their people and their operations. Two disciplines that rarely meet in one practitioner — and used together, they find efficiency neither reaches alone.
Who I work with: operations and people leaders at organizations large enough to have real data and real complexity — laboratories, manufacturers, healthcare and diagnostics, distribution. Typically a director, VP, or C-level owner of a decision that has become too expensive to guess at.
Results from completed work, described without naming organizations. See the full cases →
The approach
Analytics finally gives Lean Six Sigma the data it was always missing.
The methods still hold — variation, capability, waste, root cause. But they were designed around sampling, because measurement used to be expensive. Operations are now instrumented continuously, which means the method can finally run on everything rather than a sample of it.
What has not happened is the merger. Most analysts were never taught to think in variation and capability, and most Black Belts are not modern analysts. So analytics produces findings with no method for turning them into a changed process, and process work stays anchored to sampling logic.
The research confirms each effect, and that the two compound — but not by how much. The authors of the complementarity study closed by calling for work on how the two should be combined in practice.
That unmeasured space is where I work: Lean Six Sigma to frame sharp hypotheses about why a process behaves as it does, analytics to test them against the whole distribution rather than a sample, and the process discipline to change what is worth changing and prove it moved.
And where the problem calls for more, the work goes beyond Lean Six Sigma entirely: predictive models that see demand, attrition, or risk coming, and prescriptive models that recommend the best response to it.
A 5% productivity gain on a $250M base is $12.5M of value a year
Annual value produced by the measured data-driven productivity premium
Dollar figures apply the lower bound of the measured premium to an operating base.
How the work goes
Every engagement ends with a decision you can act on.
Analysis that stops at "here is what the data say" leaves the hard part to you. Each engagement follows the same arc — the implication first, the evidence that makes it credible, and a next step sized to what the evidence actually supports. You should finish the readout knowing what to do, and knowing how confident to be about it.
Lead with insight
Every engagement starts with the decision on the table, not the dataset. If a finding does not change a choice, it does not make the readout.
Support with evidence
Methods are documented and reproducible. You get the reasoning, the limitations, and the confidence you should place in each conclusion.
Close with direction
Recommendations are proportionate to the evidence — a next step you can actually take, sized to what the analysis genuinely supports.
On AI
AI makes the work faster. It does not make the judgment.
I build with these tools every day, and they are genuinely transformative on speed — analyses that took weeks come back in days, which changes what an organization can afford to ask. But the questions worth asking, and the decision about whether an answer holds up, stay with me.
The standard I hold to: if I cannot explain why a result is true without pointing at the tool that produced it, it does not reach you. Client data is handled under commercial terms that exclude it from model training, and I will tell you in advance where AI is used in your engagement.
A lucida is the brightest star in a constellation — the one you take your bearings from.
Most analyses contain one finding that does that work. The rest is context. The craft is in finding it, testing it honestly, and presenting it so clearly that the decision becomes obvious.
Work like that is beautiful, and not because it has been decorated. Clarity is the whole aesthetic — in the analysis, in the chart, in the sentence that carries the recommendation. That is what this practice is for.
Insight. Trust. Quality.
Have a question your data should be able to answer?
Start with a 30-minute call, no charge and no pitch. Describe the decision you are facing and I will tell you honestly whether analysis will help and what it would take. I reply to every inquiry within one business day.
Email me to set up a call → Or book a time directly →