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.

Manufacturing

Executive OEE and cost BI

MES and ERP data crossed for OEE, loss, and cost per line and product, refreshed for the people on the shop floor.

Power BIAzure Data FactoryAzure SynapseDAX

Consolidated OEE: 74.3%; corporate target 80%
Availability: 88.1%; planned downtime excluded
Performance: 91.4%; actual cycle vs standard cycle
Quality: 92.3%; 2.7% scrap in the period

Illustrative figures · fictitious client · under NDA

The challenge

A multi-plant manufacturer could not see OEE and cost per line in time to act, because machine data and financials lived apart and reports arrived days late.

What we built

We brought MES and sensor data together with the ERP financials on a governed model and built executive Power BI dashboards for OEE, loss, and cost per line and product.

A pipeline joining MES and sensor data with ERP financials.
OEE, availability, performance, and quality by line, plant, and shift.
Cost and loss per line and product in one executive view.

Outcomes

OEE and cost visible in time to react.
Shop floor and finance on the same numbers.
Loss traced to the line and product that caused it.

The dashboard we delivered

OEE and Manufacturing Cost · Multi-plantfato_producao · MES + ERPRefreshed 07/08 05:48Illustrative data

Report pages

Filters

Period

Last 30 days▼

Shift

A, B and C▼

Family

All▼

Hierarchy

Plant

Line

Production order

Plant · consolidated

Consolidated OEE+2.1 p.p.

74.3%

corporate target 80%

Availability+1.4 p.p.

88.1%

planned downtime excluded

Performance-0.6 p.p.

91.4%

actual cycle vs standard cycle

Quality+0.9 p.p.

92.3%

2.7% scrap in the period

Scrap in period

2.7%

Unplanned downtime

412 h

Cost per unit

$3.42

Average setup

38 min

Consolidated daily OEE

All plants, against the 80% target

Actual OEETarget

84.8%78.5%72.5%66.4%

0104071013161922252830

OEE by plant

Click to open line by line

Betim drags the consolidated figure down: 61% availability on the extrusion line.

Orders in the slice

One row per closed production order

8 of 160 rows

Order

Product

Good parts

Scrap

OEE

Downtime

Cost/unit

OP-26-92231Line 01 · Extrusion · Shift C

PP coil 800mm

3,287

3.3%

52.3%

69 min

$3.28

OP-26-60798Line 01 · Extrusion · Shift B

HDPE pipe 110mm

18,051

2.1%

54.5%

149 min

$3.26

OP-26-66048Line 11 · Extrusion · Shift B

PVC profile 60mm

12,036

4.5%

57.9%

67 min

$3.14

OP-26-35617Line 11 · Extrusion · Shift B

Laminated sheet 2mm

15,721

3.3%

63.3%

147 min

$2.92

OP-26-96550Line 21 · Injection · Shift A

Laminated sheet 2mm

3,864

1.8%

71.5%

103 min

$1.98

OP-26-76549Line 21 · Injection · Shift C

HDPE pipe 110mm

5,274

6.1%

76.5%

201 min

$2.64

OP-26-26930Line 31 · Extrusion · Shift B

Laminated sheet 2mm

19,111

5.5%

63.5%

152 min

$4.11

OP-26-67647Line 31 · Extrusion · Shift B

Composite batten

11,264

1.6%

85.8%

92 min

$2.40

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

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