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.

Education

Enrollment and dropout BI

Enrollment, dropout, and results by program and term, so an education network can see risk early instead of at the end of the semester.

Power BIAzure SynapseDAXPower Query

Active enrollments: 24,180; all modalities
Dropout in the semester: 11.4%; leave and abandonment
Delinquency: 8.7%; tuition overdue 30+
Class fill rate: 82.3%; enrolled over seats

Illustrative figures · fictitious client · under NDA

The challenge

An education network saw enrollment and dropout only after the term closed, too late to intervene, with data spread across academic and financial systems.

What we built

We built a governed model over the academic and financial data and Power BI dashboards for enrollment, dropout, and results by campus, program, and term, with early-risk signals.

A governed model over academic and financial data.
Enrollment, dropout, and results by campus, program, and term.
Early-risk signals to act before the term ends.

Outcomes

Dropout risk visible early, not after the fact.
Enrollment and results on one governed model.
Intervention while it still matters.

The dashboard we delivered

Enrollment, Dropout and Result · Education Networkgold_academico · Academic ERPRefreshed 07/08 06:05Illustrative data

Report pages

Filters

Cycle

2026.2▼

Modality

All▼

Status

Active and on leave▼

Hierarchy

Campus

Program

Class

Campus · consolidated

Active enrollments+4.2% vs 2026.1

24,180

all modalities

Dropout in the semester-2.1 p.p.

11.4%

leave and abandonment

Delinquency-1.4 p.p.

8.7%

tuition overdue 30+

Class fill rate+3.6 p.p.

82.3%

enrolled over seats

Intake in the cycle

4,216

Average ticket

$892

Scholarships and discounts

21.4%

Student NPS

Active enrollments per month

Live base of the cycle, against the same period last year

20262025

27,06324,45421,92219,390

FebMarAprMayJunJulAugSepOctNovDec

Enrollments by campus

Click to open program by program

The digital campus grows 18% per cycle and already accounts for a quarter of the base.

Classes in the slice

One row per class opened in the cycle

8 of 160 rows

Class

Program

Enrolled

Fill rate

Dropout

Delinquency

Revenue/mo

T-2026.2-644 · Full-timeDowntown Campus · Grad and MBA

Business Administration

40/40

100%

9.0%

21.2%

$33K

T-2026.2-803 · FlexibleDowntown Campus · Online

Business Administration

33/50

66%

15.8%

4.1%

$33K

T-2026.2-280 · FlexibleNorth Side Campus · Grad and MBA

Education

23/35

66%

10.5%

3.2%

$16K

T-2026.2-106 · EveningNorth Side Campus · On campus

Education

32/40

80%

2.5%

3.6%

$29K

T-2026.2-584 · EveningCoastal Campus · Hybrid

Tourism and Hospitality

23/40

57%

7.0%

7.6%

$20K

T-2026.2-698 · FlexibleCoastal Campus · On campus

Tourism and Hospitality

44/60

73%

24.9%

9.2%

$34K

T-2026.2-530 · MorningInland Campus · On campus

Agronomy

23/40

57%

11.7%

6.8%

$22K

T-2026.2-911 · EveningInland Campus · On campus

Agronomy

25/40

63%

2.2%

15.8%

$16K

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

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