Everything from moving the data to making it useful

Legacy systems and other clouds → Azure & Microsoft Fabric.

• Source and target mapping with a documented field-by-field plan
• Test migrations in a sandbox before anything touches production
• Row-level reconciliation so you can prove nothing was lost or changed
• A rehearsed cutover plan with a rollback path if needed

Reports your team opens every morning — not once a quarter.

• Metric definitions agreed up front so numbers are never disputed
• Clean semantic models with well-structured DAX measures
• Drill-downs, filters, and row-level security where you need it
• Scheduled refresh from Fabric so dashboards are always current

The groundwork in Fabric & Azure SQL that makes everything trustworthy.

• Deduplication, standardisation, and validation rules
• Star-schema modelling built for Power BI performance
• Handling of history, slowly-changing dimensions, and edge cases
• A documented lakehouse or warehouse your analysts can build on

Put AI to work on your own data — on Azure, grounded and secure.

• Copilots and assistants built on Azure OpenAI & Azure AI Foundry
• Retrieval-augmented answers grounded in your own governed data
• Document, search, and workflow automation with Azure AI services
• Deployed inside your Azure tenant — your data never leaves your control

Deploy AI you can defend to a regulator, a board, or a customer.

• AI use-case inventory, risk assessment and classification
• Policies and human-oversight controls aligned to the NIST AI RMF & EU AI Act
• Monitoring, evaluation and audit trails via Microsoft Purview
• Guardrails for bias, privacy, security and responsible use

Make your data trusted, discoverable and compliant with Microsoft Purview.

• Data cataloguing, classification and end-to-end lineage in Purview
• Data quality rules, ownership and stewardship you can actually maintain
• Access control, sensitivity labelling and DLP across the estate
• Compliance mapping for GDPR and sector regulations

Stop the manual exports. Let the data flow on its own.

• Automated ETL/ELT with Azure Data Factory & Fabric Data pipelines
• Scheduled, monitored refreshes with failure alerts
• Connections to databases, SaaS tools, files, and APIs
• Repeatable processes instead of someone's fragile spreadsheet

Know what you have before you move to Azure or Fabric.

• A clear picture of data quality, gaps, and duplication
• Risk assessment ahead of a migration or BI project
• Prioritised, plain-English recommendations
• A roadmap you can act on with or without us

So your team owns everything after we hand over.

• Documentation written for humans, not just engineers
• Hands-on Power BI and Fabric training for your analysts
• Handover sessions and a support window after go-live
• Optional ongoing care plan if you'd rather we stay close

A steady hand on any initiative — data, AI, or straightforward business projects.

• Scope, plan, and roadmap — from migration and BI to non-data programmes
• Sprint planning, stand-ups, and clear stakeholder reporting
• Risk, dependency, and budget tracking you can actually see
• Agile or milestone-based, with vendor and team coordination
• One accountable owner keeping delivery on track to go-live and support

Turn ideas and data into products people actually use — built and managed end to end.

• Product vision, roadmap, and ruthless prioritisation
• Discovery: user needs, success metrics, and scope
• Hands-on development and delivery alongside your engineers
• Adoption, feedback loops, and iteration after launch