ABOUT STACK HOMME
A data analytics consultancy built around one idea: better decisions
Stack Homme helps teams that are tired of making calls off gut feel, a patchwork of spreadsheets, or a dashboard nobody quite trusts anymore. We'd rather ship a dashboard that gets used every Monday than a slide deck that gets filed away after one meeting.
3
SERVICES THAT BUILD ON EACH OTHER
7
STEPS FROM DATA TO DECISIONS
100%
DOCUMENTED, NO LOCK-IN
US · UK · EU
WHERE OUR CLIENTS ARE
The problem we solve
Most businesses we meet already have plenty of data. Revenue sits in the finance system, customers in the CRM, operations in an ERP, and everything else in spreadsheets passed around by email. The trouble starts when someone asks a simple question, such as how profitable a product line really is, and three people come back with three different answers.
That gap between having data and trusting it is where Stack Homme works. We connect the sources, agree the definitions, and build reporting the whole leadership team reads the same way. Once that foundation is in place, forecasting and machine learning stop being buzzwords and start being useful.
Who we work with
We partner with growing businesses and established teams across the United States, the United Kingdom and Europe. Our clients usually aren't data companies.
- Finance leaders and FP&A teams who need reliable revenue, margin and cash reporting without a week of month-end spreadsheet work.
- Operations leaders who want clear visibility of throughput, inventory, capacity and service levels.
- Sales and marketing leaders who need pipeline, campaign and customer metrics that match what finance reports.
- Founders and executives who want one dashboard they can trust before a board or investor meeting.
- In-house data and IT teams who need extra hands on Power BI, Microsoft Fabric, Azure or Databricks projects.
What we believe
Three things shape how every engagement runs.
01
Start with the decision, not the dashboard
We ask what call you're trying to make before we open a design tool. A chart nobody needs is wasted work, however good it looks.
02
A dashboard nobody trusts is worse than no dashboard
If the numbers don't match reality, people go back to gut feel and blame the tool. We'd rather ship it right than ship it fast.
03
Engineering and data science exist to make analytics better
We don't sell pipelines or models for their own sake. They're there to make the dashboard you actually use more accurate.
What makes Stack Homme different
Analytics-first
We measure success by whether a dashboard is used to make decisions, not by how many pipelines we build.
Microsoft data platform
Power BI, Fabric and Azure, plus Databricks. A focused stack means fewer tools for your team to learn.
No lock-in
Everything we build is documented so your own team can run and extend it.
Support after launch
Optional ongoing support keeps pipelines running and dashboards current as your business changes.
US, UK and Europe
We work with teams on both sides of the Atlantic and schedule sessions around your day.
OUR PROCESS
From data to decisions in seven steps
01
Discover
Understand your goals and key decisions
02
Collect
Gather data from CRM, ERP & spreadsheets
03
Engineer
Build reliable data pipelines
04
Transform
Clean, validate & structure data
05
Analyze
Build KPIs and uncover insights
06
Visualize
Create dashboards that drive action
07
Optimize
Continuously improve and measure impact
What we do
Three services that build on each other. Most engagements start with one and grow into the next as the questions get harder.
Data Engineering
Clean, connected data pipelines so your reports are never built on a shaky spreadsheet someone patched together last quarter.
Data Analytics
Power BI dashboards, executive KPI tracking and self-service reporting that replace guesswork with a number everyone in the room agrees on.
Data Science
Forecasting and machine learning models that push your analytics past reporting on last quarter and into predicting the next one.
Tell us the decision you're trying to make
We'll tell you honestly whether data can help, and what it would take.
Book a free consultation