Investment decisions are usually made under pressure: the opportunity sits on the table for a limited time, competitors are reviewing the same file, and waiting has a cost. Under those conditions intuition takes over — and an experienced investor's intuition usually works well. What intuition cannot do is tell you what you do not know. The point of a data-driven approach is not to replace judgement but to test it.
The right question comes before the right data
Missing data is rarely the real problem in an investment file. Most files actually contain too much of it; what is missing is a decision about which data would genuinely change the outcome. Is this market growing is an interesting question, but it does not settle anything. Even if this market grows, can we make a profit with our cost structure does.
We usually open our work with a single question: which three assumptions, if wrong, would make this investment fail? Everything that follows is built around those three. This focuses both time and attention on the point where the decision actually turns.
A scenario is more honest than a forecast
Producing a single forecast implies that you know the future. No model can anticipate a currency move, a regulatory change, or a break in demand. So instead of one expected outcome we prefer to build clearly separated scenarios: things going as planned, things running somewhere in the middle, and things deteriorating visibly.
The real value lies less in seeing how bad the downside is, and more in knowing in advance whether the company survives it.
A good investment analysis does not tell you what you stand to gain; it tells you what you lose if you are wrong.
The four questions that carry the decision
- How cash flow behaves under the most realistic scenario, and the payback period
- The financing structure, and how well the cost of debt withstands volatility
- Exit options: how, and at what price, this position can be unwound if needed
- Operational dependencies: reliance on a single supplier, customer, or permit
If all four do not have a clear answer in the same file, the decision is not yet ripe.
Being data-driven does not mean deciding slowly. Knowing from the outset which information matters actually shortens the process. At SAFARI CONSULTING we approach investment files within this framework, building feasibility and risk analysis around the points where the decision genuinely turns.