We have no client logos to hide behind, so we publish the method instead. Every step below is visible in our case study library, open for you to judge before you hire us.
Four steps, every engagement.
We start from the choice you need to make, not the data you happen to have. If the decision is fuzzy, the first conversation sharpens it into a question your data can answer.
Your raw exports, from POS, accounting software, e-commerce platforms, or Excel, become one tidy, documented dataset. Every finding downstream depends on it.
A plain-English case study, an interactive dashboard, and an AI assistant, all built from the same numbers. Three instruments, one truth.
Where the work predicts anything, the predictions are graded against real outcomes with quality scorecards, so you know how much to trust before you act.
An AI assistant with free access to your business data is a risk, not a feature. Ours is governed by design, and the rules are simple enough to state in full:
It runs only a fixed set of approved, parameterized queries. It reads from a read-only copy of your data. It cannot write its own database queries, browse tables freely, or send your data anywhere else. Deterministic checks can overrule the model whenever the numbers say so.
This is what your work is built with. Nothing exotic, everything proven.
Deliverables open in a browser or in Excel. No new software to buy, no new system to learn, nothing to install on your side.
From scope call to findings walkthrough within one week.
You describe the decision and the data you have. We confirm whether the data can answer it, honestly.
You export what you already have. We clean, combine, and document it into one reliable dataset.
We run the analysis and build the system: case study, dashboard, and assistant where scoped.
We walk you through the findings in plain language and agree the actions worth taking.
One short conversation, and we will tell you whether your data can answer it, and what the analysis would look like.
Contact Pau Analyticsor email admin@pauanalytics.com · Kuala Lumpur, Malaysia