We make your data useful, reliable and considerably less annoying.
From the data underneath to the reporting on top.
Turn your data into clear, usable dashboards and reports that people can trust.
Build and maintain reliable data pipelines that keep your reporting up to date.
Quickly spot errors, investigate the cause and fix problems before they hit your reports.
The dashboard is usually where the problem becomes visible. The cause is often somewhere underneath.
We work through the measures, relationships, security and semantic model so the numbers mean the same thing everywhere.
Power BI & semantic models →We connect sources, apply business rules, and build automated pipelines and models so everyone works from consistent data.
Data engineering & ETL →We assess what should move, what should be rebuilt, and what can be retired before migrating reporting and data workloads.
Migration services →We design streaming and event-driven analytics where real-time data genuinely matters.
Real-time analytics →Experienced Power BI, Fabric, Databricks, and data engineering support alongside your team.
Specialist support →Good data engineering isn't about adding complexity. It's about removing the problems that slow decisions down.
Data doesn't stop being useful once a dashboard is published. Every decision creates new questions, and those questions improve what gets measured next.
Question → Sources → Pipelines → Model → Reports → Action → Review. Then back to the question.
How we build it →What does the business need to decide? We start there, not with a dashboard.
Where the data lives, who owns it and which parts can be trusted.
Automated loads replace manual exports and Monday-morning fixes.
One agreed definition for each metric, so Finance and Sales get the same answer.
Dashboards people open before a meeting. Not instead of one.
Each number has an owner, so a change on the report leads to a decision.
What happened shows what to fix and what to measure next.
We care about the parts of a data system that don't usually make it into the presentation: the logic, reliability, and maintenance.
Not every reporting issue needs a new platform. We find the cause before recommending a solution.
From ingestion and transformation to semantic models and Power BI reporting.
Clear models, documented logic, and systems that don't depend on one person remembering how they work.
If the current setup is doing its job, we'll say so. The aim is useful advice, not unnecessary work.
Bring the reporting problem, migration question, or architecture decision. We'll work out whether BoringBI can help.