Build the trusted data foundation for reporting, analytics and AI
AI, automation and reporting only work when data is trusted, connected and governed. We help organisations unify fragmented data sources, modernise reporting, build Microsoft Fabric or Databricks foundations, and create reusable data products that support better decisions and future AI use cases.
Replace fragmented reporting with governed data products
Replace manual reporting, disconnected data sources and inconsistent definitions with governed data products your teams can use for reporting, analytics, automation and AI.
Data foundations your teams can actually use
Trusted reporting layer
Reliable data for leadership and operational teams.
Less manual preparation
Automated ingestion, validation, transformation and reporting flows.
Better ownership
Clearer data quality, governance, definitions and accountability.
AI-ready foundations
Microsoft Fabric or Databricks platforms that support analytics and future AI use cases.
Data Platforms & Analytics packages
Start with a focused assessment, proof of value or foundation build that defines the route from fragmented data to trusted reporting, analytics and AI.
AI-Ready Data Platform Assessment
Map sources, reporting flows and governance gaps, then define a trusted foundation for analytics and AI.
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Microsoft Fabric Proof of Value
Deliver a focused Fabric implementation with ingestion, lakehouse structure, Power BI reporting and a scale roadmap.
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Databricks Lakehouse Foundation
Design and build Azure Databricks pipelines, Delta Lake layers, governance and BI or AI consumption patterns.
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Reporting Modernisation Assessment
Review reporting processes, data sources, Power BI estate, governance and the roadmap to trusted reporting.
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Data Integration and Workflow Platform
Build secure ingestion, validation, transformation and workflow layers that connect business systems and reporting.
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Data Quality and Governance Review
Identify critical data risks, ownership gaps, quality controls and the operating model for trusted data.
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Trusted data platforms built for reporting, analytics and AI
Selected examples of how we have modernised reporting, connected fragmented financial data and delivered reliable data processing at enterprise scale.
Charity and nonprofit operations
Financial reporting modernised with Microsoft Fabric
Situation
An organisation wanted to evaluate Microsoft Fabric as its future data and analytics platform while preserving existing reporting operations and creating a route to broader multi-source integration.
Solution
We delivered a Fabric proof of value with automated ingestion, Bronze-Silver-Gold lakehouse layers, a Fabric Data Warehouse, Power BI reporting, development-to-production environments and deployment pipelines.
Benefits
- Validated Fabric as a future-state analytics platform.
- Delivered trusted financial reporting from a unified data foundation.
- Created a practical roadmap for additional systems and wider adoption.
Real estate investment
Financial data integration across portfolio companies
Situation
A European real estate investment organisation needed to integrate financial data from portfolio companies and service providers. Files arrived in different formats, data quality checks were manual, and reporting depended on disconnected systems.
Solution
We built secure ingestion, validation, transformation and integration workflows on Azure and Databricks, supported by a business-facing portal for controlled file submission, review and exception handling.
Benefits
- Reduced manual file handling and repeated data mapping.
- Improved data quality before information reached accounting and reporting systems.
- Created a reusable integration foundation for new portfolio companies and service providers.
UK energy market
Data platform processing more than one billion events daily
Situation
A business-critical electricity settlement platform needed to process and reconcile more than one billion events each day while meeting strict requirements for accuracy, timeliness and continuous operation.
Solution
We delivered a cloud-native Azure platform using scalable data pipelines, event-driven integration and microservices to ingest, transform and aggregate market data at national scale.
Benefits
- Processes more than one billion events daily with capacity to grow.
- Supports continuous, resilient operation for critical settlement workflows.
- Established a foundation for predictive analytics and machine-learning use cases.