Pipeline reporting in Power BI
Power BI reports that gave a sales team clear sight of its pipeline, to support planning and decisions.
AI data analysis
Reporting you can act on, built on your own data.
We bring data from your separate systems into one place, then use Power BI, Azure Machine Learning and Copilot to show trends, forecast what is coming and put the numbers in front of the people who make decisions. Dashboards are built around the measures your organisation already tracks, so they get used rather than admired once.
What we do
Data and AI services that fit together.
Analysis only works if the data underneath is joined up and trusted. We cover the integration, the reporting and the AI models, and we keep refining them once they are live.
Power BI
Dashboards and reports that give real-time visibility of the measures you care about, built in Power BI and shared through Microsoft 365.
Microsoft Fabric
One place to bring together data from across your systems, so every report works from the same source.
Azure AI services
Azure Machine Learning models that find patterns in your data and forecast trends before they show up in the monthly report.
Data governance
Controls over who can see which data and how it is classified, so reporting stays accurate and compliant.
AI strategy
Work out which questions are worth answering with AI first, and what your data needs before you start.
Custom AI solutions
Bespoke models for predictive analytics and other use cases that off the shelf tools do not cover.
33 ships
reporting defects into one Power BI trend analysis we built for CalMac
1,700
employees feeding data into that single CalMac system
20+ years
of Microsoft experience behind the team
How we work
How an AI data project runs.
01
Discovery
We map the systems your data lives in, the measures people report on today and the decisions the reporting is meant to support.
02
Design
A data model that joins your sources into a single version of the truth, plus dashboard wireframes you agree before anything is built.
03
Build
We connect the sources, build the Power BI reports and add Azure Machine Learning models where forecasting or pattern finding adds something.
04
Train
Sessions for report owners and the people reading the dashboards, so they can filter, explore and trust what they are looking at.
05
Go live
We release the reports, check the figures against your existing numbers and keep refining the models as your organisation changes.
Case studies
Case studies we have delivered.
Read the Power BI case study
FAQ
Frequently asked questions.
Which tools do you use for AI data analysis?
Power BI for dashboards and reporting, Azure Machine Learning for forecasting and pattern detection, and Copilot for quick answers on the figures. We pick the combination that fits the data you have.
Our data is spread across several systems. Is that a problem?
No, that is where we usually start. We integrate data from multiple sources into one platform so reports stop contradicting each other and there is a single source of truth.
Can the dashboards be tailored to our KPIs?
Yes. Dashboards and reports are built around the measures your organisation already tracks, with real-time visibility of the ones that matter to each team.
What happens after the reports are live?
We keep monitoring and refining the analytics so the insights stay relevant as your organisation and its goals change.
Talk to our data team.
Tell us what you are working on and we will come back to you within one working day to arrange a call.