// 01
Two reports. Two answers.
Sales, Finance and Operations calculate the same metric differently. Meetings become arguments about whose number is right.
// 01 / Power BI Dashboards & Semantic Models
Dashboards people open before a meeting. Not instead of one.
Power BI dashboards built on a proper semantic model. Clear definitions, reliable measures, sensible security and performance that doesn't get in the way.
// No sales pitch. No commitment.
// Under the dashboard
One definition. The same answer everywhere.
When Finance and Sales report different numbers, another chart isn't the answer. The problem usually needs tracing through the data, measures and model.
REPORT / REVENUE OVERVIEW
● DEFINITIONS DON'T MATCH
SALES REPORT
€2.4M
FINANCE REPORT
€2.1M
! Revenue totals differ across reports
→ Check source logic, measures and filters
→ Check source logic, measures and filters
// THE WORK UNDERNEATH
01 / Trace the source data
↓
02 / Align KPI definitions
↓
03 / Validate the semantic model
Illustrative example. Real discrepancies require investigation before the cause can be confirmed.
// What brings people here
Recognise any of these?
The dashboard is often where the problem becomes visible. The actual cause can be several layers underneath.
// 02
Slow reports. Slower decisions.
Visuals take too long to load. Refreshes are unreliable. Every additional measure makes the report harder to maintain.
// 03
One person knows how it works.
Business logic lives in undocumented DAX measures and workarounds. Nobody wants to touch the model in case something breaks.
// What we deliver
More than a prettier report.
The work depends on what is actually wrong. These are the parts we can design, repair or improve.
01 / Reporting
Power BI dashboards
Clear, usable reporting designed around the questions people need to answer.
02 / Data model
Semantic models
Relationships, shared definitions and reusable measures that support consistent reporting.
03 / Logic
DAX measures
Calculations that are understandable, testable and aligned with business definitions.
04 / Access
Row-level security
Appropriate access to data without duplicating reports for every audience.
05 / Performance
Optimisation
Identify expensive calculations, model issues and unnecessary report complexity.
06 / Reliability
Validation & handover
Checks, documentation and a maintainable foundation for the team that uses it.
// How we work
Find the cause before fixing the chart.
We don't assume every reporting problem needs a rebuild. Sometimes the right answer is to repair a measure, simplify a model or leave a working system alone.
Start with the issue people can see. Trace it to the underlying data and logic. Then make the smallest sensible change that solves the problem properly.
01
Understand the disagreement
Identify the reports, users, definitions and business questions involved.
02
Trace the underlying logic
Inspect data sources, relationships, filters, DAX and refresh behaviour.
03
Fix what actually needs fixing
Improve the model, calculations or report design based on what the investigation reveals.
04
Make the result maintainable
Validate the numbers and document the important decisions for the people who inherit the work.
// Related expertise
Sometimes the dashboard isn't the problem.
If the data arriving in Power BI is incomplete, inconsistent or late, the fix may belong further upstream.
// Let's make the numbers agree
Does everyone trust the numbers in your next meeting?
If the answer is no, tell us what's happening. We'll discuss whether the problem needs a small repair, a deeper model change or something else entirely.
Book a free call ↗
// No sales pitch. No commitment.