What does Kadmoon do?

We are a US Microsoft data and analytics firm led by Power BI services. We connect the systems you already run, build a governed semantic model, and deliver the dashboards your team opens every day. On top of that we build Power Platform automation, Fabric and Azure data engineering, and Copilot and AI. Everything lives in your own Microsoft tenant, and you own it.

Do we have to be a Microsoft shop?

No. Your data can live anywhere: SQL Server, Dynamics 365, SAP, Oracle, NetSuite, Salesforce, Excel, SharePoint, or your own APIs. We read from the system of record wherever it runs and deliver the analytics on Power BI and the Microsoft cloud, because it is a strong, governed place to build and most teams already have the licensing.

Why only the Microsoft stack?

Because depth beats breadth. Power BI, the Power Platform, Fabric, and Azure are what we build on every day, so we arrive with patterns, a governance model, and reusable components instead of learning a new toolset on your budget. One stack, end to end, also means fewer seams between your dashboards, your automation, and your data pipelines.

Where does the data come from?

From the systems you already run. We land raw data in your tenant, shape it into a governed semantic model, and feed the dashboards from there, with refreshes you can rely on. Connections to your ERP, CRM, finance, and line-of-business systems are built once so numbers come from the source instead of a re-keyed export. The data integration doc goes into detail.

How does a project start?

Usually with a Power BI assessment: a short, fixed-scope engagement that maps your decisions and data and delivers first dashboards in about two weeks. It de-risks the larger build and produces a scope and a quote grounded in your real data. You leave with working reports, not a slide deck.

Do you do more than dashboards?

Yes. Power BI is the lead, and we build on the same governed model: Power Apps and Power Automate for input screens, approvals, and alerts; Microsoft Fabric and Azure for the data engineering underneath; and Copilot and AI so people can ask questions in plain language. You can start with reporting and grow into automation and AI when it earns its place.

Do we own the analytics and the data?

Yes. Everything we build is yours: the semantic model, the reports, and the data, all inside your own tenant, with documentation and a full handover. Access is provisioned per engagement against your identity provider and policies. We support and evolve it on a defined agreement after launch, but you are never locked in or dependent on us to keep operating.

Which regions and company sizes do you serve?

We are a US firm serving American businesses, from growing companies to established enterprises, across finance, retail, healthcare, manufacturing, professional services, technology, and the public and nonprofit sectors. The common thread is that decisions depend on data in Microsoft systems and the numbers have to be right.

KadmoonBusiness Intelligence

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Analytics · Enablement

Copilot and natural-language questions on governed data

A business enabled Copilot in Power BI and natural-language question and answer over a governed model, so people got answers without waiting on a new report.

Power BICopilot in Power BIMicrosoft FabricSemantic model

Ad hoc requests: -40%; to the data team, example
Answer time: Seconds; from days
Grounding: Governed model; not freehand
Security: RLS enforced; in answers

Illustrative scenario · example figures

Result

People got trustworthy answers in plain language, and the data team spent its time building instead of fielding one-off questions.

The challenge

Every new question meant a ticket to the data team, so simple answers took days and the backlog only grew as more people wanted self-service.

What we built

We prepared the semantic model for Copilot, added clear measure and field descriptions, set up natural-language Q&A, and ran enablement so answers respected the same security and definitions as every report.

A Copilot-ready semantic model with described measures.
Natural-language question and answer over governed data.
Guardrails so answers respect row-level security.

Outcomes

Common questions answered in seconds, not days.
The report backlog shrank as self-service grew.
AI grounded on governed measures, not guesses.

Where the data came from

Governed Power BI modelDynamics 365SQL Server

Data is drawn from the systems the operation already runs on and delivered in the client’s own tenant.

Want this on your data?

Tell us where your numbers live and what leadership needs to see. You get a scoped plan and a quote within one business day.

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More case studies

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