Do we ask questions in Metagem, or in the tools we already use?

Either. Metagem can answer business questions in-platform. And if you have a preferred engagement layer — Databricks Genie, Microsoft Copilot, a custom agent — we connect to it seamlessly and improve the answers with governed business context. What stays the same either way is what the answer rests on: definitions your people own, traced to the data underneath.

Why do these tools get business questions wrong when the data is right there?

Because data on its own does not carry meaning. A model sees column names, not which of three revenue fields your CFO recognises, or that your fiscal year starts in April. It infers, plausibly and invisibly, and a wrong answer arrives with exactly the same confidence as a right one.

We already have a semantic layer. Isn't that the same thing?

A semantic layer is part of it. It defines metrics and dimensions so a BI tool produces consistent charts. A context layer adds ownership, provenance, quality signals, and the tacit knowledge sitting in documents, in a form that agents can work with.

Where would we start?

One domain. We map the metrics that domain reports on, trace each to its source fields, and surface where definitions disagree. That foundation is useful whether or not you ever switch on a talk-to-your-data tool.

Talk to your data, get one answer

Ask your data the same question twice. Get two different answers.

A chat tool on top of your data answers everything you ask. Some answers are wrong, and nothing tells you which. The chart looks the same either way, and someone makes a decision on it.

“The real value would be in chatting with the data. If I tell that to my CFO, he's like: OK, let's go. But to get there, you need the data quality up at a certain level.”
IT leader, logistics group

Chat with your data

What was our gross margin in Q3?

Gross margin in Q3 was 23.4%.

What was our gross margin in Q3?

Gross margin in Q3 was 19.8%.

From two answers to one you can check.

One metric, from its competing versions to an answer that shows its working. Whichever chat tool you use.

1Every version in one place

Why the answers differ.

Sales dashboard: revenue minus purchase price23.4%

Finance report: freight included19.8%

What you see

Each version of the metric, where it's calculated, and exactly where they differ.

2Ready to approve

One definition, tied to the real fields.

Gross margin · Owner: Finance

Net revenue minus cost of goods, freight included.

Proposed

One definition and the fields behind it. The owner confirms or changes it.

3Traceable

One answer, with its working.

Your chat tool, with Metagem context

Gross margin in Q3 was 19.8%.

Definition: net revenue minus cost of goods, freight included · Owner: Finance

The result

The same question gets the same answer, any day of the week. And unclear questions get a question back, not a guess.

Talking to your data, with and without Metagem.

Today

Every dashboard and chat tool calculates metrics its own way.
Column names look right, but don't mean what people think.
Unclear questions still get a confident answer.
So nobody trusts the chat, and the pilot stays a pilot.

With Metagem

A map of your metrics as they areEvery version, and where they differ.
Help to agree one definitionOwners confirm in Teams or by email.
Tied to the real fieldsEach metric traced to the data that holds it.
Context any tool can readBI, chat tools and agents use the same definitions. Open and exportable.

Pick one metric. See how many ways it's calculated today.

Let's talk