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.

Finance

Management P&L across entities

A waterfall management P&L consolidated across entities, with actual versus budget and variance the finance team can trust.

Power BIMicrosoft FabricDAXPower Query

Net revenue: $248.6M; year to date
Gross margin: 38.4%; after COGS and COS
EBITDA margin: 14.2%; before D&A and financial
Net income: $18.9M; after income tax

Illustrative figures · fictitious client · under NDA

The challenge

A group with several entities closed a management P&L by hand each month, so it arrived late, differed by preparer, and was hard to trust or drill into.

What we built

We built a governed financial model and a Power BI waterfall P&L that consolidates entities, compares actual to budget, and drills from the statement line to the transaction.

A governed consolidation model across entities.
A waterfall management P&L with actual, budget, and variance.
Drill-down from the statement line to detail.

Outcomes

A management P&L that is the same every month.
Actual versus budget with explainable variance.
Consolidation without a manual close.

The dashboard we delivered

Management P&L · Multi-entitygold_financeiro · ERP + allocationRefreshed 07/08 07:20Illustrative data

Report pages

Filters

Period

Jul/2026 · closed▼

View

Management▼

Comparison

Budget▼

Hierarchy

Business unit

Cost center

GL account

Business unit · consolidated

Net revenue-1.7% vs budget

$248.6M

year to date

Gross margin+0.3 p.p.

38.4%

after COGS and COS

EBITDA margin-0.6 p.p.

14.2%

before D&A and financial

Net income-$2.3M

$18.9M

after income tax

Expense over revenue

24.2%

Close cycle

3 days

Allocated accounts

412

Budget adherence

97.9%

Monthly EBITDA margin

Actual against budget, as a percentage of net revenue

ActualBudget

16.1%14.6%13.2%11.7%

AugSepOctNovDecJanFebMarAprMayJunJul

Net revenue by business unit

Click to open by cost center

Services has 18% of revenue and 31% of EBITDA: margin the consolidated view was hiding.

Accounts in the slice

Actual against budget, account by account

8 of 160 rows

GL account

Cost center

Actual

Budget

Variance

Nature

6.1.01 Financial expensesCC 100 · Production

CC 100 · Production

$647K

$660K

-2.1%

10.2%

Financial

4.1.01 Raw materialCC 100 · Production

CC 100 · Production

$494K

$472K

+4.7%

10.2%

Cost

5.2.01 Technology and licensesCC 200 · Logistics

CC 200 · Logistics

$278K

$275K

+1.2%

10.2%

Expense

3.1.01 Product revenueCC 200 · Logistics

CC 200 · Logistics

$160K

$144K

+11.1%

10.2%

Revenue

3.2.01 Deductions and taxesCC 300 · Projects

CC 300 · Projects

$207K

$233K

-11.3%

10.2%

Revenue

5.1.02 Travel and entertainmentCC 300 · Projects

CC 300 · Projects

$202K

$183K

+10.2%

10.2%

Expense

5.2.01 Technology and licensesCC 400 · Stores SP

CC 400 · Stores SP

$125K

$144K

-13.4%

10.2%

Expense

5.1.04 Rent and occupancyCC 400 · Stores SP

CC 400 · Stores SP

$122K

$137K

-11.3%

10.2%

Expense

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

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