What does Kadmoon do?

We are a Power BI and Microsoft Power Platform consultancy. We take scattered raw data to the dashboards your leadership actually opens, on a governed foundation of Microsoft Fabric, Azure Synapse, and Azure. That covers the data engineering underneath, the semantic model with one definition per KPI, the reports on top, and the Power Platform apps and automations around them. Everything is built in your tenant and owned by you.

Do you only work in the Microsoft ecosystem?

Yes, on purpose. We go deep in Power BI, Microsoft Fabric, Azure, Power Platform, and Dataverse rather than spreading thin across five stacks. That focus is why we can move fast, govern by default, and support what we ship. If your data lives in other systems, we connect to them, but the analytics and BI layer we build and run is Microsoft.

How much does a Power BI project cost?

It depends on scope: how many sources we connect, the state of the data underneath, how many dashboards and KPIs you need, and whether governance and a data platform are part of the work. A focused set of dashboards on clean data is a small fixed-scope project. A full data platform on Fabric with governance is larger. We scope it with acceptance criteria and milestone billing, so the price maps to something you can verify rather than an open estimate.

We already have Power BI but it is a mess. Can you help?

Yes, this is common and it is a lot of our work. We inventory the existing reports, find where KPIs disagree, and rebuild on a governed semantic layer so revenue, margin, and churn mean one thing everywhere. We add row-level security, workspace structure, and Purview where they are missing. You keep working the whole time; we fix the foundation underneath rather than starting over.

How does a project start?

With a one to two week discovery. We start from the decisions you need to make, not the data you happen to have, and map the business questions, the sources, the indicators, and the owner of each number. You leave discovery with a diagnosis and an architecture plan. First working dashboards are typically live by week two, then validated with each area every cycle.

What about tenant-to-tenant migration?

It is a signature practice for us. When you move to a new Microsoft tenant, after a merger, divestiture, or restructure, your Power BI reports, datasets, workspaces, and Power Platform environments do not come along by default. We inventory everything, remap dependencies, and cut over in phases so you do not lose years of BI and automation history or leave users without reports mid-move.

Which regions and company sizes do you serve?

We are based in Austin, Texas and work with clients across the United States. We deliver remotely with in-person sessions when a project calls for it. We work with mid-market companies and enterprise teams; the common thread is that data matters enough to govern it. We are a fit whether you need a first governed dashboard or a full Fabric platform with managed support.

Retail

A single source of truth on Microsoft Fabric

Sales, inventory, and margin from stores and e-commerce consolidated in OneLake and served to Power BI through Direct Lake.

Microsoft FabricOneLakeDirect LakePower BI

Net sales: $18.42M; MTD, net of returns
Gross margin: 27.8%; with logistics allocation
Stockout: 4.1%; SKU-store out of stock at the POS
Average ticket: $84.20; consolidated omnichannel receipt

Illustrative figures · fictitious client · under NDA

The challenge

An omnichannel retailer had three versions of the truth, with sales, inventory, and margin living in separate systems for physical stores and e-commerce, so no report agreed.

What we built

We consolidated the sources into OneLake on Microsoft Fabric and served Power BI through Direct Lake, so store and online data meet on one governed model with fast reports.

A consolidated data platform in OneLake on Microsoft Fabric.
A governed model unifying store and e-commerce sales, inventory, and margin.
Power BI on Direct Lake for fast reports without a copy step.

Outcomes

One source of truth in place of three conflicting ones.
Store and online performance on the same page.
Reports that stay fast as data grows.

The dashboard we delivered

Commercial Results · Omnichannel Networkgold_vendas_v3 · Direct LakeRefreshed 07/08 06:12Illustrative data

Report pages

Filters

Period

MTD · Aug/2026▼

Channel

All channels▼

Banner

All▼

Hierarchy

Region

Store

SKU

Region · consolidated

Net sales+6.2% LY

$18.42M

MTD, net of returns

Gross margin-0.4 p.p.

27.8%

with logistics allocation

Stockout-1.3 p.p.

4.1%

SKU-store out of stock at the POS

Average ticket+2.8%

$84.20

consolidated omnichannel receipt

Receipts in period

218.4K

Items per receipt

6.4

Returns

1.8%

Stock cover

22 days

Daily net sales

Brick-and-mortar, app, marketplace and telesales consolidated

20262025

$803K$686K$573K$460K

0104071013161922252831

Net sales by region

Click to open store by store

Southeast concentrates 44% of sales and 51% of perishable stockouts.

SKUs in the slice

SKU-store-day granularity, served over Direct Lake

8 of 160 rows

SKU

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