Revan Analytics by DataMaaS
How your data is read
You ask a question in plain English. Everything that makes the answer trustworthy happens behind it.
In practice
You only ever talk to Revan.
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01You Ask A question in plain English, inside Revan Analytics.
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02Business Definitions Revan reads your definitions first — the rules, metrics and terminology written for each Source System, Dataset and column — so it knows what the question means in your business.
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03Revan It works out what the question needs and sends a request, never a query. Revan holds no credentials and has no connection to your systems.
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04Secure Query Service Inside the platform, it applies the permissions of whoever asked, runs a read-only query against your governed source, and returns only the rows and fields that person is entitled to see. Excluded data is not filtered out afterwards; it is never retrieved.
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05Your Answer Revan establishes which basis the question needs, and gives you the call with the evidence behind it.
Your definitions
Margin means what your business means by margin.
Ask a general AI assistant for last quarter’s margin and it guesses from a column name. Revan doesn’t have to. Your definitions are written into the governed data layer it reads, so a question comes back answered your way.
- Your schema Your tables, your joins, and what each field actually means.
- Your KPIs Margin, churn, on-time delivery, defined the way you define them.
- Your business rules What counts, what’s excluded, and which basis a figure is reported on when there’s more than one.
It doesn’t matter what you run. One system or several — ERP, PSA, CRM, a warehouse, a lake, a reporting database — in one country or many, in as many currencies. Wherever it lives, your definitions can sit in front of it, and figures can be aligned to your business requirements before Revan reads them.
Who sees what
Revan inherits the permissions you already set.
You decide who sees margin. You decide who sees which sites. Those calls are yours and they are already made — Revan works inside them and has no way to widen them.
Access is enforced at the database — not by trusting the AI.
Assurance
Read-only, and under your control.
Getting started
Three steps, wherever you are starting from.
Some businesses already have a data foundation worth building on. Others have data spread across systems and spreadsheets that has never been pulled together. Either way the first job is the same: establish what you have, and get it into a state that is fit for analytics.
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01Identify the sources that matter Sales, financials, supply chain, operations, HR. Most start with one — often the one where getting a straight number takes the longest — and add others as they go.
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02Get that data into shape DataMaaS works out how to reach it, brings it together, and gets it clean and consistent enough to analyze with confidence. How much work that is depends on where you are starting from.
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03Set down your definitions Margin, on-time, who counts as a customer, what is excluded. This part is done together, because every answer afterwards is built on it.
That foundation is what every answer stands on. We build it with you, and we keep it current as your business changes.
It also means the answer does not depend on who asked. Your definitions live in the foundation rather than in the prompt, so margin means the same thing whether it is the CFO asking or a data analyst — and nobody has to be good at phrasing questions to get a figure that matches how the business reports.
Where next
Keep going.
That’s what Revan can read. What it does with it is a different discipline.
Ready to put it on a real question?
Start with one you would normally have to chase someone for.
