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.

Business Intelligence

QlikView to Power BI migration

A full legacy BI estate moved to Power BI with inventory, dependency mapping, and a rebuild on a governed model, with no information blackout.

Power BIAzure SynapseDAXPower Query

Reports migrated: 1,247; of 1,312 after rationalization
Parity validated: 98.6%; checked number by number
Current wave: 6 of 8; phased cutover, no blackout
Cumulative effort: 4,180 h; Our team + client squad

Illustrative figures · fictitious client · under NDA

The challenge

A large report estate on legacy BI was expensive to license and hard to trust, and the business needed to move to Power BI without losing years of logic or leaving users without reports mid-migration.

What we built

We inventoried every report, mapped dependencies, and rebuilt the estate in Power BI over a governed semantic model, migrating in waves so each business unit kept working the whole way through.

A full inventory and dependency map of the legacy estate before moving a single report.
A governed Power BI semantic model so KPIs carry one definition.
A phased, wave-by-wave cutover with parity validation at each step.

Outcomes

Reports rebuilt on a governed model instead of copied one for one.
Migration in waves with no information blackout.
Lower licensing cost on the Microsoft stack.

The dashboard we delivered

Migration Cockpit · QlikView → Power BIctl_migracao · ImportRefreshed 07/08 06:12Illustrative data

Report pages

Filters

Wave

Waves 1 to 8▼

Status

All▼

Criticality

High and medium▼

Hierarchy

Business unit

Area

Report

Business unit · consolidated

Reports migrated+96 this wave

1,247

of 1,312 after rationalization

Parity validated+1.4 p.p.

98.6%

checked number by number

Current waveon track

6 of 8

phased cutover, no blackout

Cumulative effort-12% vs plan

4,180 h

Our team + client squad

Reports retired

DAX measures created

3,412

Active users/month

1,860

Average load time

4.2 min

Reports migrated per month

Cumulative by wave, against contracted target

MigratedPlan

34124414955

JanFebMarAprMayJunJulAugSepOctNovDec

Reports by business unit

Click to drill down the hierarchy

Rationalization retired 65 reports unused over the last 12 months.

Reports in scope

One row per report rebuilt in Power BI

8 of 160 rows

Report

Area

Wave

DAX measures

Parity

Effort

Status

RPT-1241 · Cash flowAccounting

Finance

99.2%

88 h

In validation

RPT-1235 · Management P&LAccounting

Finance

99.9%

76 h

Approved

RPT-1151 · Taxes assessedSales

Sales

99.6%

68 h

Approved

RPT-1282 · Service levelSales

Sales

99.8%

55 h

Approved

RPT-1111 · Productivity by shiftProduction

Operations

98.4%

26 h

In validation

RPT-1442 · Maintenance backlogProduction

Operations

97.8%

16 h

In progress

RPT-1752 · Discount grantedPurchasing

Procurement

98.1%

79 h

In validation

RPT-1457 · Service levelPurchasing

Procurement

98.8%

22 h

In validation

Illustrative dashboard with the structure delivered on the project. Client names and figures are fictitious and under NDA.

Want a dashboard like this on your data?

Tell us your scenario and get a diagnosis and a proposal with an investment range within a few business days.

Start a project

More case studies

RetailA single source of truth on Microsoft FabricSales, inventory, and margin from stores and e-commerce consolidated in OneLake and served to Power BI through Direct Lake.ManufacturingExecutive OEE and cost BIMES and ERP data crossed for OEE, loss, and cost per line and product, refreshed for the people on the shop floor.Corporate ProcessesPurchasing and approvals on Power PlatformA purchasing and approval workflow rebuilt on Power Apps and Power Automate, with a live view of every request from intake to sign-off.