Data Engineering · Analytics · BI Consultancy
We help organisations design modern cloud data platforms, automate data pipelines and create reliable analytics using Azure, Microsoft Fabric, Databricks and Power BI.
Data Engineering · Data Analytics · Azure Cloud · Microsoft Fabric · Databricks · Power BI
Many organisations struggle with fragmented data, manual reporting, unreliable pipelines, unclear data ownership and disconnected systems. We help businesses build trusted cloud data foundations, automate reporting, improve governance and make data easier to understand and use.
Services
From source-system integration and cloud architecture through to semantic models, dashboards, governance and adoption.
Design and build scalable pipelines that collect, transform and deliver reliable data across the organisation.
Design, build and improve secure data platforms on Microsoft Azure.
Implement Microsoft Fabric as a unified platform for data engineering, analytics and business intelligence.
Design and implement scalable lakehouse platforms using Azure Databricks.
Transform complex data into clear, actionable information.
Create Power BI solutions that are reliable, scalable and easy to use.
Featured solution
We design and build centralised business glossary and data knowledge solutions that help organisations define, manage and share trusted business terminology. A searchable portal where business and technical users can understand what data means, where it comes from, who owns it and how it should be used.
A flexible, cost-effective alternative to complex enterprise data-governance applications, with greater control over functionality, user experience and integration.
Discuss this solutionFeatured solution
We design and build enterprise-scale Databricks lakehouse platforms on Azure - from medallion architecture and Delta Lake through to Unity Catalog governance, real-time streaming, ML pipelines and BI integration.
Featured solution
We implement Microsoft Fabric and Power BI as a governed analytics layer - from automated pipelines and semantic models through to workspace strategy, capacity management and user enablement.
Replace fragmented spreadsheets and manual processes with automated pipelines, governed semantic models and interactive dashboards. Reduce manual effort, improve accuracy, create a trusted source of truth and enable secure self-service analytics.
Design and implement enterprise governance frameworks covering workspace strategy, ownership, access management, development standards, deployment processes, capacity management, monitoring, security and lifecycle management.
Assess cloud and analytics environments to identify unused resources, inefficient workloads, oversized capacities, duplicated datasets and unnecessary licence costs. Provide prioritised recommendations and implementation support.
Help business users confidently navigate reports, explore data, understand KPIs, create personal views and use self-service analytics responsibly. Tailored by role, department, experience level and governance requirements.
Case Studies
Each engagement starts with fragmented, operational data and turns it into a reliable platform that business, analytics and AI teams can use with confidence.
Fragmented operational and legacy data consolidated into a single governed Lakehouse, with a business glossary, master data management and natural-language exploration built around Unity Catalog.
An architecture vision taken through proof of concept to a production platform, with metadata-driven ingestion, embedded data-quality controls and SLA-based monitoring that new sources can reuse.
Equipment telemetry and more than a decade of operational history turned into a dependable data layer powering anomaly detection, predictive maintenance, safety analytics and drill-and-blast optimisation.
A decentralised reporting estate moved onto a controlled operating model — governed deployment pipelines, Git-based change history and capacity strategy that kept self-service analytics intact.
REST API ingestion, a Bronze/Silver/Gold Lakehouse and SCD Type 2 historisation feeding forward-looking salary and employer-cost forecasts on a 12-month rolling horizon.
Power BI moved off direct Dataverse access onto an incremental, historised Fabric medallion platform — faster reports, lighter operational load and analysis of change over time.
Fragmented tax inputs consolidated into a traceable, reproducible calculation model covering Safe Harbour, Effective Tax Rate, Top-up Tax and QDMTT for OECD Pillar Two reporting.
A cross-functional sales, market and finance analytics tool migrated from Tableau to Power BI, with Snowflake views and Azure Data Factory pipelines strengthening the layer underneath.
Structured basic and advanced Power BI training across departments and countries, with practical workflow-led sessions and post-training support to build lasting self-service adoption.
Expertise
Our consultants have hands-on experience delivering data and analytics solutions within large enterprises. You work directly with experienced specialists who understand complex environments, enterprise standards, and real-world delivery challenges.
We keep our organisation lean and technically focused. There are no unnecessary layers of account management between you and the people designing and building your solution. This means faster communication, clearer decisions, and direct access to the experts doing the work.
We bring experience gained in large, complex organisations while operating with the flexibility and efficiency of a specialist consultancy. You receive high-quality technical expertise and enterprise-grade delivery without paying for large management structures, excessive administration, or unnecessary overhead.
We can deliver a complete project, improve a specific part of your data platform, or provide senior specialist support to strengthen your internal team.
How We Work
Review business needs, current systems, data sources, reporting processes, governance requirements and technical challenges.
Define the appropriate Azure, Fabric, Databricks and Power BI architecture, delivery plan and expected outcomes.
Develop the pipelines, lakehouses, warehouses, semantic models, dashboards, governance solutions and automation.
Provide documentation, knowledge transfer and user training.
Monitor performance, improve quality, optimise costs and help the platform scale.
Contact
Whether you need a new Azure data platform, a Microsoft Fabric implementation, an enterprise Databricks lakehouse, better Power BI reporting or stronger data governance, we can help.