Data & Analytics Delivery

What We Mean by Data & Analytics Delivery?

More Than Advice. More Than Build. Full Ownership.

Our Data & Analytics Delivery service covers the entire analytics lifecycle - from strategy through to execution - with a string focus on building trusted data foundations that enable advanced analytics and AI-driven solutions. We work with organisations to:

• Defining the right data and analytics strategy, aligned to business priorities and future AI ambitions.

• Designing scalable and future-ready architectures that support advanced analytics and AI workloads.

• Engineering reliable data platforms and pipelines that deliver high-quality, AI ready data.

• Deliver trusted BI, reporting, and analytical insights to support better decision-making

• Embed governance, data quality, security, and controls essential for responsible AI adoption

We bridge the gap between business objectives and technical execution, ensuring analytics initiatives deliver measurable value today, while creating a strong foundation for AI-driven insights and automation tomorrow.

We work with business and technology leaders to define clear, actionable data and analytics strategies that align with organisational goals and enable AI-driven insights and innovation.

Includes:

• Analytics vision and roadmap development with AI-readiness in mind

• KPI and metrics definition to measure outcomes

• Analytics maturity assessments highlighting opportunities for advanced analytics and AI adoption

• Target-state architecture design for scalable data platforms

• Cloud and modernisation planning to support future AI and automation initiatives

Outcome:

Clear priorities, aligned stakeholders, and a roadmap that can be executed with confidence — delivering trusted insights today and laying the foundation for AI-driven decisions tomorrow.

Data & Analytics Strategy

Our Core Capabilities

We design and build modern, scalable, AI-ready data platforms that form the foundation of trusted analytics and advanced insights.

Includes:

• Data warehouse and lakehouse design for AI-ready analytics

• Microsoft Fabric and Azure-based architectures

• ELT / ETL pipeline development with automation and reliability in mind

• Performance optimisation and monitoring

• Automation and reliability engineering to support advanced analytics

Outcome:

Reliable, scalable data foundations that deliver trusted analytics which enables insights and decision-making.

Data Engineering & Platform modernisation

We deliver decision-ready BI and reporting that executives and teams can trust, enabling smarter, future-ready insights.

Includes:

• Power BI dashboards and enterprise reporting with AI-enabled analytics potential

• Executive, operational, and self-service analytics

• Semantic model and data layer design for AI-readiness

• KPI standardisation and metrics governance

Outcome:

One version of the truth, faster insights, and confident decision-making today with a foundation for AI-driven decisions tomorrow.

Business intelligence & reporting

We help organisations migrate from legacy data and BI platforms to modern, AI-ready analytics environments with minimal risk.

Includes:

• Legacy data warehouse and BI migration

• SQL Server to Azure and cloud transitions

• Platform consolidation and optimisation for AI-ready data access

• Structured, low-disruption delivery approach

Outcome:

Reduced technical debt, improved performance, lower ongoing costs, and a foundation for advanced analytics and AI-driven insights.

Data Migration & transformation

We embed practical data governance and quality into analytics delivery - ensuring teams move fast without compromising trust or compliance.

Includes:

• Data modelling and standardised datasets

• Data quality frameworks and continuous monitoring

• Security, access control, and compliance alignment

• Governance designed to enable trusted analytics

Outcome:

Higher confidence in data, fewer discrepancies, stronger control.

Data Governance, Quality & Trust