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 · Finance

Budget versus actual and the monthly close

A finance team replaced a spreadsheet close with a Power BI model that ties budget, actual, and the operating P&L back to the general ledger.

Power BIMicrosoft FabricSemantic modelDataflows

Close time: 3 days; from 8
Variance to budget: +2.1%; example
Accounts modeled: Full COA; hierarchy
Manual rework: Removed; per cycle

Illustrative scenario · example figures

Result

The monthly close moved from a week of spreadsheet rebuilding to a governed report finance trusts and explains from.

The challenge

Budget versus actual lived in a workbook that broke every time the chart of accounts changed, so finance spent the first week of each month rebuilding it instead of explaining variances.

What we built

We built a governed model over the ERP general ledger, mapped budgets and the account hierarchy once, and delivered a close dashboard with variance analysis down to the cost center.

A governed P&L model tied to the general ledger.
Budget versus actual with variance down to the cost center.
A close checklist and a report that reconciles to finance.

Outcomes

The close runs on a report, not a fragile workbook.
Variances explained on day two, not day seven.
One P&L finance and operations both read.

Where the data came from

Dynamics 365 FinanceSQL ServerExcel budgetsSharePoint

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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