The problem
You have data. But do you have answers?
Your Japanese competitors are filing patents, signing alliances, investing in R&D. And you don’t see it.
The data is public, freely available on J-PlatPat. But it’s in Japanese, and interpreting it requires a rare combination of technical and linguistic expertise.
How many strategic decisions are you making without seeing what your Japanese competitors are actually doing?
Is your pricing really optimal?
Most pricing policies are built on intuition and history, never properly reviewed with structured data. Underpriced products can subsidise your customers’ margins for years without any clear alarm signal.
Knowing exactly where your prices underperform, by how much, and what to do about it changes the decision.
Your campaign generated +15% in sales. Did it, really?
Or was the market already rising? Without rigorous method, you’re optimising in the dark. Dashboards show numbers — they don’t show causes.
Misattributed performance: you’ve been allocating budget to the wrong channels for months.
You see a correlation in your data. But is that the actual cause?
Acting on the wrong lever means investing in the wrong place. Causal inference separates what truly causes a result from what is merely correlated with it.
A decision built on a spurious correlation can cost months of wasted optimisation.
What I bring
Japan Technology Intelligence
What your Japanese competitors are doing: extracted from patent data, quantified, delivered in English. Actor mapping, technology trends, weak signals.
Pricing Diagnostic
Where your prices underperform, by how much, and what to do about it. In 2 weeks, using your existing sales data. Prioritised recommendations, simulation file included.
Marketing Analytics
Which channel is really driving your conversions? What is the true ROI of each campaign? Quantified answers grounded in your data, not approximations.
Causal Inference & Decision Science
Identifying what truly causes a result, not just what correlates with it. So you invest in the right lever, with an explicit quantification of uncertainty.
Who is this for?
I work with:
- Leaders of SMEs and mid-size companies who want quantified answers, not more reports
- Marketing directors who want to measure what actually works in their mix
- Commercial directors who suspect their pricing policy is not optimal
- European companies who need to understand what Japanese players in their sector are doing
My approach
Primary data. Rigorous methods. Actionable recommendations.
I work on primary data, not second-hand reports. Each analysis combines structured data extraction (patents, transactions, marketing data), rigorous quantitative methods, and contextual interpretation.
The result: quantified recommendations with an explicit measure of uncertainty. You will know what you can assert, and what remains to be verified.
Background
Nearly 10 years in Japan, across demanding sectors: defence, aerospace, automotive, industry
Trilingual French, Japanese, English: technical patent reading, nuanced understanding of Japanese business
Former patent translator JP to FR for the automotive industry
Certified UC Berkeley (Marketing Analytics), Harvard (Data Science)
Based in Tokyo, working with clients in France, Japan and internationally
Data Scientist specialised in causal inference and Bayesian modelling
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Let’s talk about your situation
Book a 30-minute discovery call. We identify together whether I can help you, and how.
No pitch. No commitment. Just a conversation.