Jet Analytics

Your Jet Analytics warehouse has already done the hard part.

It holds a layered structure, conformed dimensions and validated rules: exactly the thinking a modern architecture requires. We take it over, we extend it, or we transpose that work into Microsoft Fabric. Without redoing it.

NAV and Business Central: Dynamics
Domain at a time, never all at once: 1
Expert consultants: 11
Of scoping to decide: 2 h

3
Paths: take over, broaden, transpose: 1
Domain at a time, in parallel with the existing estate: 100 %
Of the modelling work carried across: 2 h
Free scoping workshop to decide

Three situations

Where you are, and what we do about it

The good news

It is the same thinking, in a different tool

A Jet Analytics warehouse organises data in successive layers, from raw to ready-to-use. A medallion architecture does exactly that. The migration is about the machinery, not the reasoning, and that is what makes it affordable.

BronzeIngestion: Raw data, exactly as the systems produce it. ERP, CRM, Dataverse, SQL databases, files.
SilverCleaning: Cleaning rules and business alignment. This is where the charts of accounts of six subsidiaries are reconciled.
GoldSemantic model: Aggregated and optimised data. One source of truth, shared by every report and every department.

What Jet Analytics brings

Automation that has proved itself

Jet Analytics answers a sound intent, and that is why warehouses built with it age well: prepare the data once, in the right place, instead of repeating the same work in every report. That is the principle separating a data chain from a collection of files.

On a Dynamics NAV or Business Central foundation the tool moves fast: ready connectors, recognised structures, automatic generation of the layers. A team gets a working warehouse in a time few manual approaches can match.

The generated documentation is another lasting asset. Knowing where a field comes from and which transformations it passed through is precisely what is most often missing in inherited projects, and what makes a migration possible years later.

It is also why these warehouses transpose well. The groundwork was done, it was validated by the business, and it holds. We have never had to start from a blank page on a project of this kind.

Frequently asked

What people ask us about Jet Analytics

Our Jet Analytics has been in place for years. Can you take it over?

Yes, and it is a frequent request. Taking over an existing Jet Analytics warehouse starts with an inventory: which sources are loaded, which transformations are in place, which cubes and reports depend on them. We produce that map before any decision: it is useful whether you keep the tool or not, and it belongs to you.

Jet Analytics or Microsoft Fabric?

Both answer the same intent: industrialise data preparation instead of repeating it in every report. Jet Analytics does it very efficiently in a Dynamics world, with automation that has proved itself. Fabric opens the same principle to heterogeneous sources, such as SAP, Sage, Salesforce and business applications, and integrates Power BI natively. If your information system has diversified since Jet Analytics went in, that is the signal that matters.

What do we recover if we migrate to Fabric?

The essential part: the modelling. A Jet Analytics warehouse contains a layered structure, conformed dimensions and transformation rules that were discussed and validated. That work transposes directly into a medallion architecture: it is the same thinking, in a different tool. The migration is about the machinery, not the reasoning, and that is what makes it affordable.

Do we have to migrate everything at once?

No, and we rarely advise against anything as firmly as we advise against that. The two platforms coexist without difficulty: we start with one domain, usually sales, loaded into Fabric while Jet Analytics keeps serving the rest. Your teams compare the two on real data, and what follows is decided on facts.

If you transpose

One domain at a time

Each domain moves across one after the other while the existing platform keeps serving. The overlap lets your teams compare the two platforms on their own figures before deciding what comes next.

One domain at a time, never everything at once

The existing platform keeps serving while each domain moves across, which lets your teams compare on their own figures.

The overlap is the heart of the method: it is where your teams put the two platforms side by side on real data. The pace of what follows is decided on what they observe, not on a calendar fixed in advance.

Let us open your warehouse and see what is inside.

Eleven expert consultantsSaint-Priest, near Lyon, France

Two hours with a consultant, free of charge. We inventory your sources, your transformations and the reports depending on them, and we tell you what we would do: take it over, broaden it, or transpose it into Fabric, domain by domain.

Request a scoping workshop

Scoping workshop · 2 hours · free · near Lyon or remote