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 · Sales

Pipeline, win rate, and net revenue retention

A go-to-market team unified CRM and billing into one Power BI model for pipeline, win rate, and net revenue retention.

Power BIMicrosoft FabricAzure Data FactorySemantic model

Net retention: 112%; trailing 12 mo, example
Win rate: 24%; by stage
Forecast accuracy: 96%; vs actuals
Systems joined: CRM + billing; one model

Illustrative scenario · example figures

Result

Pipeline and revenue finally reconciled in one model, so go-to-market decisions and the forecast ran on numbers the team believed.

The challenge

Pipeline reports came out of the CRM, revenue out of billing, and the two never matched, so forecasting was an argument and renewals slipped through unseen.

What we built

We joined CRM opportunities to billed revenue in a governed model, defined each sales measure once, and built a revenue dashboard the team runs its weekly review on.

A model joining CRM pipeline to billed and recurring revenue.
Win rate, sales cycle, and net revenue retention measures.
A weekly review dashboard with drill-through to the account.

Outcomes

Forecasting on one trusted model instead of two reports.
Renewals and churn visible before they happen.
The weekly review runs on live data, not exports.

Where the data came from

SalesforceBilling systemDynamics 365 SalesExcel targets

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

LeadershipExecutive revenue and margin control towerA leadership team moved its monthly board pack off hand-built spreadsheets into one governed Power BI model with revenue, margin, and cash in a single view.FinanceBudget versus actual and the monthly closeA 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.RetailSales and margin across channels and storesA retailer brought point of sale, e-commerce, and inventory into one Power BI model for sales, margin, and sell-through by channel and store.