See what averages hide.
I test AI tools on real data — and check if you can trust the results.
Finnish railway data. Claude, Copilot, Gemini, Minitab.
Honest comparisons.
Seeing beyond averages. Testing new AI tools on real process data.
Every episode takes the same Finnish railway dataset and runs it through a different AI tool — Claude, Copilot, Gemini — then compares against Minitab. Same data, same prompts, different results.
What works? What breaks? Would you trust it on Monday morning?
Same Finnish railway dataset from the videos.
Try the analysis yourself.
Joensuu station, January 2025 — train punctuality, passenger counts, delay patterns.
Download from Google DriveNo email required. No signup. Just the data.
Data source: Fintraffic / Digitraffic, CC BY 4.0
Services
MBB-level analysis. Honest answers.
You have data. You're pretty sure there's something in it. But you don't have time to dig.
Send it to me. In one week, you get a visual analysis report with findings and recommendations.
Get in touch →Your team is running an improvement project but getting stuck on the data. I coach them through it — DMAIC structure, exploratory data analysis at every phase.
Typically 6 sessions.
Get in touch →Variation analysis, AI tools for quality, Lean Six Sigma fundamentals. For teams or organizations.
Custom format — from 2-hour introduction to multi-day program.
ESTIEM Black Belt program head instructor.
Master Black Belt consultant. Runs RDMAIC Oy, a Lean Six Sigma consulting company in Finland.
Head instructor for ESTIEM's Lean Six Sigma Black Belt program — teaching industrial engineering students across Europe.
Master's thesis: mental models for exploratory data analysis (LUT University, 2019).
I'm building a variation analysis tool for quality professionals. Learn more →