Newboot Genesis use case · Power BI Simulator

Ask “what if?” of your Power BI reports, in plain language.

A chat and simulation layer on top of the dashboards you already have, deployed inside your Azure perimeter. Finance and business teams run their own scenarios, without writing DAX.

Power BI · Costs FY2024Simulation
Simulate a 1% growth in costs based on fiscal year 2024.
Scenario applied to 3 cost measures. Operating margin moves from 14.2% to 13.4%. Sources: Cost centers, P&L FY2024 · Ontology v12

Illustrative view

How it works

Your reports, an ontology, a simulator.

Your existing Power BI reportsDatasets, measures and dashboards stay as they are
Automated Ontology BuilderThe business meaning of each measure and relationship
Chat and what-if simulatorQuestions and scenarios in plain language

Simulations without DAX

Teams describe a scenario in their own words; the simulator applies it to the right measures.

No data leaves your perimeter

Deployed inside your Azure tenant, next to your Power BI workspace.

Builds on what you have

Your Power BI investment becomes a simulation tool, without rebuilding reports.

Autonomous teams

Finance and business teams test hypotheses themselves instead of waiting for the BI team.

In deployment at Saint-Gobain The simulator is being rolled out to Saint-Gobain finance teams, inside the group’s Azure perimeter, with team training.
Built on Newboot Genesis

A living map of your data, generated from your systems.

Genesis connects to ERPs, BI tools, databases and files, and describes what every value means, which rules apply and where it comes from. Teams and AI agents then work on explained data instead of raw tables.

up to −65%tokens sent to the LLM, thanks to described data (Newboot R&D estimate)
MCPserver that serves the map to any AI agent
Azuredeployment inside your own tenant
FAQ

Questions from finance and BI teams.

Do we need to change our Power BI reports?

No. The simulator reads your existing datasets and measures and builds its ontology from them.

Where is the data processed?

Inside your own Azure tenant. No data leaves your security perimeter.

Who uses it?

Finance, controlling and business teams who need scenarios without writing DAX.

Next step

Start with one system and one question.

We connect to one source, generate its ontology and show you what it reveals about your data, in a scoping workshop.

  1. 1
    Scoping workshopIdentify the priority use case and the data available.
  2. 2
    PilotProve the value on one line, one site or one IT scope.
  3. 3
    Deploy and replicateIndustrialize, then roll out to other lines and sites on the same foundation.

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