Power BI, and everything we build around it.
We turn the data in your ERP, CRM, and line-of-business systems into decisions, delivered on Power BI in your own tenant, with Power Platform automation, Fabric data engineering, and Copilot and AI built on the same governed model.
The problems a Power BI build is meant to fix.
If your team lives any of these, the issue is rarely the data itself. It is that no one has built a governed model on top of it.
Three versions of revenue in one meeting
Every team brings its own number, and the first ten minutes go to arguing which one is right.
A week to answer one question
A simple "how did last month close?" turns into an analyst re-keying exports by hand.
Reports no one trusts
Leaders quietly keep their own spreadsheet because the dashboard has been wrong before.
Power BI that grew into a mess
Dozens of workspaces, duplicated measures, and no row-level security. It became a risk, not an asset.
Dashboards built, never opened
A past project shipped reports that answered no real decision, so no one signs in to them.
Data stuck in the systems
It is all there in SQL Server, Dynamics, SAP, and Salesforce, but no one can see across it.
We fix the cause: one governed semantic model, fed from the systems you already run, with the dashboards your team actually opens.
Power BI solutions your team runs on.
One governed model fed from the systems you already run, so every number means one thing and your leaders act on it.
Executive dashboards
One governed view of the business: revenue, margin, cash, and the operating KPIs your leaders check daily, each drillable to the record behind it.
See the caseFinance & operations analytics
The close, cash flow, budget versus actual, and the operating P&L, modeled once from your ERP so finance and operations read the same numbers.
See the caseSales & revenue analytics
Pipeline, bookings, win rate, and net revenue retention from your CRM and billing, so go-to-market decisions run on one trusted model.
See the caseSemantic models & governance
A governed model with one definition per measure, row-level security, workspaces, and lineage, so reporting stays trustworthy as it scales.
See the casePower Platform automation
Power Apps and Power Automate on top of the data: input screens, approvals, and alerts that turn a dashboard into an action, not just a view.
See the caseData engineering on Fabric
Lakehouse, pipelines, and the modeling layer Power BI sits on, built on Microsoft Fabric and Azure so refreshes are reliable and fast.
See the caseFour service lines, from dashboards to AI.
Power BI leads, and the rest builds on the same governed model. Start with reporting and grow into automation, data engineering, and AI as each earns its place.
Power BI
The dashboards and reports your team opens every day.
- Governed semantic model with one definition per measure
- Dashboards and reports designed for the people who use them
- Row-level security, workspaces, and lineage
- Migration from legacy BI, Excel, and tool sprawl
Power Platform
Apps and automation on top of the same data.
- Power Apps for data entry, review, and operations
- Power Automate flows for approvals and alerts
- Dataverse modeling and integration
- Apps wired to the same governed Power BI model
Data engineering
The governed model your reporting sits on, built on Fabric and Azure.
- Lakehouse and warehouse on Microsoft Fabric
- Pipelines from SQL Server, Dynamics, SAP, Salesforce, and APIs
- Incremental refresh and reliable scheduling
- A documented, governed semantic model
Copilot & AI
Answers in plain language, on your governed data.
- Copilot in Power BI, configured on your model
- Natural-language question and answer over your data
- AI-assisted summaries and narrative insights
- Guardrails so answers respect row-level security
A boutique, two ways to work.
Begin with a Power BI assessment, then run by project or on Managed Power BI, our monthly subscription. Same senior US team, built in your own tenant, yours to own.
A short, fixed-scope first project that maps your decisions and data and delivers first dashboards in about two weeks, with a plan and a fixed quote grounded in your real data. It leads into one of the two models.
Request a quoteA fixed-scope build with defined deliverables and milestone billing: the governed semantic model, the dashboards, any migration, and the governance around them. You know what you get, when, and how to validate it.
Scope a projectOur monthly subscription: a senior team that runs and evolves your Power BI every month. Refreshes, governance, new reports as needs change, and Copilot and AI as it matures. A boutique partner on call.
Talk Managed Power BIHow engagements work.
Is it only Power BI, or the whole stack?
Power BI is the lead, and we build on the same governed model: Power Platform apps and automation, data engineering on Microsoft Fabric and Azure, and Copilot and AI. You can start with reporting and grow into automation and AI when it earns its place.
Do we have to be on Microsoft already?
No. Your data can live in SQL Server, Dynamics, SAP, Oracle, NetSuite, Salesforce, Excel, SharePoint, or your own APIs. We read from the system of record and deliver the analytics on Power BI and the Microsoft cloud, in your own tenant.
How fast do we see something?
A Power BI assessment delivers first dashboards in about two weeks, so you validate real value early instead of waiting on a long data project with nothing to show.
Do we own the model and the data?
Yes. The semantic model, the reports, and the data live in your own tenant with documentation and a full handover. Access follows your identity provider. No lock-in.
How to choose a Power BI partner.
Six questions worth asking before you hire anyone to build the Power BI your business runs on, us or anyone else.
- 01
Do they build governed models?
Ask whether they build a semantic model with defined measures, or just wire charts to tables. Without a model you end up with three versions of revenue in one meeting.
At KadmoonWe build a governed semantic model so every measure means one thing across every report, with row-level security and lineage from day one.
- 02
Who builds it
Ask whether the people are full-time employees or rotating freelancers. The model that runs your reporting needs people who still understand it a year later.
At KadmoonA senior, US-based in-house team. The people who scope your model build it and support it. No pass-through to third parties.
- 03
Is it only Power BI, or the whole stack?
Ask whether they can take you past dashboards: automation, data engineering, and AI. A charts-only shop leaves the rest of the problem on your desk.
At KadmoonPower BI is the lead, built on the whole Microsoft stack: Power Platform automation, Fabric and Azure data engineering, and Copilot and AI on the same model.
- 04
Which systems they read
Confirm they can read your real sources: SQL Server, Dynamics, SAP, Salesforce, Excel, and your APIs. Analytics that cannot reach your data becomes another spreadsheet.
At KadmoonWe read from the system of record wherever it runs, SQL Server, Dynamics 365, SAP, Oracle, NetSuite, Salesforce, Excel, SharePoint, and APIs, into one governed model.
- 05
Ownership and your tenant
Confirm everything is built in your own Microsoft tenant. If the model and reports live somewhere you cannot reach, you are hostage to the vendor.
At KadmoonEverything is built in your own tenant: your data, your model, your reports. You own it, with documentation and a full handover. No lock-in.
- 06
Governance and support
Ask how they handle row-level security, workspaces, lineage, and support after go-live. Ungoverned Power BI becomes a risk as it scales.
At KadmoonGovernance is part of the build: row-level security, workspace structure, lineage, and access that follows your identity provider, with managed support after go-live.
Not sure where to start?
Tell us where your data lives. We will point you to the right first step, usually a Power BI assessment, and send a quote.