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Data Transformation for AI and Better Decisions

Business transformation. Built on a strong data foundation.

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Most cloud environments have
grown faster than governance controls

Data is distributed across applications, platforms, business units and external sources. Reports can take days to produce, while different teams work from different definitions and reach different conclusions. When AI is built on fragmented, poorly governed or misunderstood data, it can accelerate the wrong decisions and scale existing business problems.

Many low-return AI investments share a common problem: the data was not trusted, contextualized or fit for the intended use case. AI investment traces back to the same root cause: data that wasn’t fit for purpose.

85%

of data and analytics practices are not architected for scale.

Gartner CDAO Agenda Survey, 2026

43%

of COOs name data quality as their most significant data priority.

IBM, 2025

How we can help

  • Trust data that is AI and decision ready

    We connect data strategy, governance, engineering, business applications and analytics to turn fragmented enterprise data into trusted intelligence, improving decisions today and creating the foundation for scalable AI.

  • Build a clear data strategy

    We align data investment to business priorities and high-value AI use cases. Our assessments evaluate data quality, architecture, governance, ownership, integration and consumption, producing a practical roadmap that balances value, risk and effort.

  • Move from data silos to connected intelligence

    We connect data across functions so information from sales, operations, finance, service and supply chain can inform decisions elsewhere in the organization. Common definitions, governed data products and reusable integrations create enterprise visibility enabling every team to benefit from learnings across your business.

  • Create trust through data governance

    We embed robust governance across your data estate so you can meet evolving privacy, compliance and sovereignty requirements with confidence. We establish clear data ownership, stewardship, standards and decision rights so governance becomes part of how the business operates, not only a technology control.

  • Data platforms built for scale

    We design, build and operate secure enterprise data platforms that connect cloud, on-premises, business applications and external data. Our focus is on creating scalable architectures, reusable integration patterns and governed data products that support analytics, operational use cases and AI. Built once and shared, they make every subsequent data and AI use case faster and cheaper.

  • From data to decisions

    We turn trusted data into insight that drives better, faster decisions. Combining advanced analytics and AI, we help organizations move beyond static reporting to real-time, self-service intelligence, surfacing answers on demand and putting them in the hands of the people who need them. The result is quicker time to decision, less reliance on IT and confident action across the business.

Deep data expertise. Built-in business context.

Our Unified Data Accelerator provides reusable architecture, engineering, governance and deployment components that reduce the effort required to establish Microsoft Fabric and Databricks capabilities. We hold Microsoft’s Data and AI (Azure) Solution Designation, our data work has been shortlisted for the British Data Awards, and the Environment Agency’s Nexus program was recognized by Microsoft as one of the UK’s leading Power Platform implementations.

One platform. One view. Better decisions for 317,000 residents.

The London Borough of Southwark ran over 300 services from a fragmented data estate. Teams cross-referenced systems manually, and monthly reports took three days to produce. Hitachi Solutions built a Modern Data Platform on Microsoft Azure, bringing together data from Mosaic, NEC and Capita into a single governed view. Reporting time fell from three days to two to three hours. The platform has since expanded from Children’s Services to Housing, Customer Experience and Planning.

Proven results

Southwark Council

“If we have more evidence-based ways of working, we can improve our understanding of what our residents need and tailor our services specifically to those needs.”

Tom Seery, Head of Programmes, Knowledge & Intelligence, Southwark Council

Read the full customer story

  • Unlocking value through a good data management strategy

    A solid data strategy—that is, how data is collected, stored, managed, and analysed to achieve business goals—is the foundation of any successful AI project, because the real magic and value of AI technology happens when it starts with your own data. Every business has different data sources, needs, and goals, but the common element is that before a blockbuster technology like AI can deliver value, you need to set the stage for success. 

    Read more

Your data strategy starts with knowing what you’re working with.

A Data and AI Readiness Assessment gives you an objective view of your data estate and its readiness for priority AI use cases. You receive a practical roadmap highlighting immediate opportunities, foundational gaps and investments most likely to deliver measurable value.

Talk to a data expert today