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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Software build · SaaS

Embedded Power BI inside a customer portal

A software company embedded Power BI into its own product, so customers get governed analytics in-app without a separate login.

Power BI EmbeddedMicrosoft FabricAzureSemantic model

Analytics: In-app; no second login
Isolation: Per tenant; row-level security
New reports: No code; in the model
Time to ship: Weeks; not quarters

Illustrative scenario · example figures

Result

Customers got governed, self-service analytics inside the product, with each tenant safely seeing only its own data.

The challenge

Customers wanted analytics in the product, but building charts by hand was slow and every new metric meant engineering work the team could not spare.

What we built

We built a governed model with row-level security per tenant and embedded Power BI into the product, so each customer sees only their own data inside the app.

A multi-tenant model with row-level security per customer.
Power BI embedded into the product UI.
A path to add new reports without engineering each one.

Outcomes

Governed analytics shipped inside the product.
Each customer sees only their own data.
New metrics added in the model, not in code.

Where the data came from

Product databaseSQL ServerAzureAPIs

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

Data engineeringLakehouse and pipelines on Microsoft FabricA company replaced brittle overnight exports with a Microsoft Fabric lakehouse and pipelines that keep Power BI fast and in sync with the source systems.OperationsApprovals and alerts on the Power PlatformAn operations team turned a reporting dashboard into action with Power Apps and Power Automate on the same governed data.