Services
JapanTechRadar: Japan Technology Intelligence
Problem: what are your Japanese competitors preparing? The data is public, but in Japanese.
Japanese companies file tens of thousands of patents every year. This data is free, available on J-PlatPat, and completely opaque to European companies that don’t read technical Japanese.
This is not just a translation issue. It is an interpretation issue: understanding why an actor is accelerating on a technology, what it means in the Japanese sector context, and what it implies for you.
What it produces: a report mapping the actors, technology trends and weak signals in your sector in Japan, based on quantitative patent analysis. Delivered in English, structured for use by a director.
PricingDiag: Pricing Diagnostic
Problem: is your pricing optimal? Most companies don’t know, and it costs them.
Most pricing policies are built historically, adjusted at the margins, never properly reviewed with structured data. Underpriced products can subsidise customers’ margins for years without triggering a clear alarm.
What it produces: a two-week diagnostic identifying where your prices underperform, by how much, and what to do. Using your existing sales data. Prioritised recommendations, simulation file included, debrief session.
Marketing Analytics
Problem: which channel is really driving your conversions? Is your marketing budget well allocated?
Without rigorous method, marketing attribution is an approximation. Standard analytics tools count clicks and sessions; they don’t measure the causal impact of each channel on your actual sales.
What it produces: a reliable measure of the impact of each marketing channel (Marketing Mix Modeling), actionable segmentation, attribution grounded in data rather than heuristics. Quantified answers, not more dashboards.
See the technical demonstration in the portfolio: Marketing Mix Modeling (Robyn) →
Causal Inference & Decision Science
Problem: you see a problem in your data. But is that the cause, or just a symptom?
Acting on the wrong lever means wasting time and money. Most business analyses answer “what happened?” — rarely “why?” and “what should we do?”
What it produces: the identification of the real levers in your data, with an explicit quantification of uncertainty. You will know what you can assert, with what confidence, and what remains to be verified. I use causal inference methods and Bayesian modelling for small samples.
See the technical demonstration in the portfolio: Causal Inference Platform →
Engagement formats
Single project
Defined scope, concrete deliverable, fixed price. One diagnostic, one analysis, one report.
Examples: JapanTechRadar sector report, PricingDiag, marketing attribution analysis
Project
Broader engagement with multiple deliverables. An attribution model, a pricing system, an analytics infrastructure.
For problems that require more than a week and one or two deliverables.
Retainer
Ongoing access to expertise. A data sparring partner for your recurring decisions.
Monthly KPI review, ad hoc support, quarterly Japan sector watch.
Let’s talk about your situation
A 30-minute call to understand your context and see whether I can help.
No pitch. No commitment. Just a conversation.