How to build a Microsoft Fabric or Azure data platform for a Lucerne organisation: medallion layout for tourism, hospitality and events and industrial machinery and engineering, honest capacity sizing, Direct Lake trade-offs and the Switzerland residency position.
A practical guide to Power BI consultancy in Brussels: the definition traps in public sector and professional and legal services, honest licensing arithmetic, hire-versus-engage costs, and the compliance position under the EU GDPR and the Belgian Data Protection Act of 2018.
A practical guide to Power BI consultancy in Milton Keynes: the definition traps in logistics and freight and retail, honest licensing arithmetic, hire-versus-engage costs, and the compliance position under UK GDPR and the Data Protection Act 2018.
Practical data governance for analytics estates in Stuttgart: what the federal commissioner (BfDI) and the Land data protection authorities expects under the EU GDPR and the Bundesdatenschutzgesetz (BDSG), the sector rules that bite locally, Microsoft Purview in practice, and a 90-day plan.
A practical guide to Power BI consultancy in Tralee: the definition traps in medical devices and tourism, hospitality and events, honest licensing arithmetic, hire-versus-engage costs, and the compliance position under the EU GDPR and the Data Protection Act 2018.
Practical data governance for analytics estates in Vevey: what the Federal Data Protection and Information Commissioner (FDPIC / EDÖB) expects under the revised Federal Act on Data Protection (revFADP / revDSG), in force since September 2023, the sector rules that bite locally, Microsoft Purview in practice, and a 90-day plan.
How to build a Microsoft Fabric or Azure data platform for a Glasgow organisation: medallion layout for retail and commercial banking and insurance and reinsurance, honest capacity sizing, Direct Lake trade-offs and the United Kingdom residency position.
A 45-minute working session with an engineer rather than a sales call. You describe the problem; we set out what we would build, in what order, and what it is likely to cost.