Built on Questions, Not Assumptions
Back in 2016, we started asking different questions about financial analysis. Most firms were churning out standardized reports that looked impressive but rarely helped anyone make better decisions.
We thought there had to be a better way to connect market data with actual business strategy.
Why We Do This Work
The idea came from a frustrating pattern we kept seeing. Companies would request financial analysis, receive a 60-page document full of charts and projections, then struggle to figure out what it actually meant for their next quarterly decisions.
That gap between data and actionable insight bothered us. So we started experimenting with a different approach—shorter reports, clearer language, and direct connection to specific business contexts.
Turns out, when you focus on clarity instead of complexity, clients actually use the analysis. They ask better follow-up questions. They make more confident decisions.
That's still what drives our work today.
What We Actually Believe
These aren't corporate platitudes. They're the principles that shape how we work with clients every week.
Context Over Volume
A ten-page report that addresses your specific situation beats a hundred-page generic analysis every time. We'd rather spend time understanding your business environment than padding documents with unnecessary data.
Honest Limitations
Financial analysis can't predict the future. It can help you understand current patterns and make informed bets. When we don't know something, we say so. When data is inconclusive, we explain why.
Industry Knowledge Matters
Understanding mining sector dynamics is completely different from understanding retail patterns. We focus on industries where we've built real expertise over years, not months.
Questions Welcome
If our analysis raises more questions than it answers, that's often a good sign. It means you're thinking critically about your business. We encourage follow-up conversations and iterative refinement.
Regional Specificity
Australian markets have distinct characteristics that generic international frameworks often miss. We account for local regulatory environments, regional economic patterns, and domestic market dynamics.
Practical Timelines
Rush analysis is usually mediocre analysis. We set realistic timelines that allow for proper research, verification, and review. Quality takes the time it takes.
How We Actually Work
Our process has evolved through eight years of trial, error, and client feedback. It's not complicated, but it is deliberate.
We don't start with templates. Every engagement begins with understanding what decisions you're trying to make and what information would actually help.
Initial Consultation
We talk through your business context, current challenges, and what you're hoping analysis will clarify. This usually takes 60-90 minutes and helps us figure out if we're a good fit.
Research Phase
We gather relevant market data, industry reports, regulatory information, and economic indicators specific to your sector. This is the unglamorous foundation work that makes everything else useful.
Analysis Development
We connect the data to your business questions, identify meaningful patterns, and translate findings into accessible language. Graphs are included when they clarify, not because they look professional.
Review Conversation
We walk through the analysis together, answer questions, discuss implications, and refine conclusions based on your feedback. The final report reflects this collaborative refinement.
Who Does The Work
We're a small team of analysts who've specialized in Australian industrial sectors. Here's who leads the research.
Henrik Thorvaldsen
Principal AnalystHenrik founded olmevarion after spending seven years in corporate finance roles where he kept rewriting analysis reports to make them actually useful. He focuses on mining, energy, and heavy manufacturing sectors across Queensland and Western Australia.
Before this, he worked at a mid-sized advisory firm and noticed that clients rarely implemented the recommendations from traditional analysis. That observation led to our current approach—shorter, clearer, more actionable.
He still believes the best financial analysis asks uncomfortable questions and acknowledges uncertainty. Markets are complex systems, not mathematical puzzles with single correct answers.