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.

Healthcare

Claims denial and length-of-stay BI

Clinical operations and billing on one model, tracking claim denials by payer and reason and length of stay by unit and specialty.

Power BIMicrosoft FabricDAXMicrosoft Purview

Occupancy rate: 84.6%; operational beds
Average length of stay: 4.2 days; all specialties
Claim denial: 6.8%; on billing submitted
Revenue per bed-day: $2,140; net of claim denial

Illustrative figures · fictitious client · under NDA

The challenge

A hospital network lost revenue to claim denials it could not explain and could not see length of stay in time to manage capacity, with clinical and billing data apart.

What we built

We brought clinical operations and billing onto a governed model and built Power BI dashboards for claim denials by payer and reason and length of stay by unit and specialty, built with HIPAA in mind.

A governed model joining clinical operations and billing.
Claim denials by payer and reason.
Length of stay by unit and specialty.

Outcomes

Denials traced to payer and reason so they can be worked.
Length of stay visible in time to manage capacity.
Clinical and billing on the same numbers.

The dashboard we delivered

Clinical Operations and Billing · Hospital Networkgold_assistencial · HIS + ERPRefreshed 07/08 05:35Illustrative data

Report pages

Filters

Period

Jul/2026▼

Payer

All▼

Acuity

Elective and urgent▼

Hierarchy

Unit

Specialty

Encounter

Unit · consolidated

Occupancy rate+2.4 p.p.

84.6%

operational beds

Average length of stay-0.6 day

4.2 days

all specialties

Claim denial-2.3 p.p.

6.8%

on billing submitted

Revenue per bed-day+$180

$2,140

net of claim denial

Admissions this month

3,482

Readmission within 30 days

7.1%

Bed turnover

6.2

Billed accounts

18.4K

Claim denial over billing

Monthly percentage, against the 5% target

Claim denialTarget

9.7%7.9%6.3%4.6%

AugSepOctNovDecJanFebMarAprMayJunJul

Billing by unit

Click to open by specialty

The South Side unit concentrates 34% of revenue and 41% of claim denials: account audit under review.

Encounters in the slice

One row per hospital account submitted

8 of 160 rows

Encounter

Specialty

Payer

Billed

Claim denial

Length of stay

Account status

ATD-986841South Side Hospital · Ambulatory

Cardiology

SulAmérica

$38K

5.5%

Partial denial

ATD-976723South Side Hospital · ICU

Cardiology

Out-of-pocket

$32K

19.2%

2.6 d

In appeal

ATD-956018Central Hospital · ICU

Oncology

Amil

$26K

11.0%

4.4 d

In appeal

ATD-998895Central Hospital · Urgent

Oncology

Amil

$16K

11.7%

6.3 d

In appeal

ATD-962073North Hospital · Urgent

Internal medicine

Saúde Aliança

$21K

11.7%

14.1 d

In appeal

ATD-943914North Hospital · Ambulatory

Internal medicine

Saúde Aliança

$38K

4.5%

Partial denial

ATD-962656East Maternity · Urgent

Obstetrics

Unimed regional

$18K

8.9%

13.0 d

In appeal

ATD-969927East Maternity · Urgent

Obstetrics

Unimed regional

$13K

10.8%

6.5 d

In appeal

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

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