Microsoft Fabric and Azure Data Platforms
Fabric Lakehouse and Warehouse platforms, and the Azure estate underneath them - built, loaded, secured and handed over.
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Services
Six areas of work. Most engagements draw on two or three of them - a platform is rarely just a dashboard, and a dashboard is rarely just a chart.
Data Architecture and Engineering
The model underneath the reports. Designed once, properly, so the next question does not mean rebuilding it.
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Power BI, Dashboards and Reporting
Reporting built around the decision it supports - plus the tenant governance that keeps it trustworthy at scale.
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Analytics and Applied AI
Predictive models built on your data, by someone who built the warehouse underneath them.
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BI Migration and Modernisation
Moving a legacy BI estate onto Power BI or Fabric, without losing the logic buried inside it.
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Web and Business Applications
Websites and internal applications, backed by the same database discipline as the data work.
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Engagements
Three ways people usually start
A review
A short, fixed-scope look at what you have now - the data sources, the reports, the gaps - ending in a written set of recommendations you can act on with or without us.
A project
A defined build with a scope and an end date: a warehouse, a migration, a set of dashboards. Documented and handed over on completion.
Ongoing support
Days retained each month to extend the platform, add reports, and keep things running as the business changes.