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Unified Data
and AI

Trusted. Governed. AI-Ready. 

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Trusted data foundations for reliable AI

AI is only as reliable as the data beneath it. We build the governed, high-quality data foundations that allow you to move from raw data to insight and action and from pilot to production, with confidence.

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Enterprise AI investment is accelerating, yet most organisations are held back by the same foundational problems. 

Poor data quality, fragmented estates, and inadequate governance prevent AI from reaching production at scale.  

Gartner predicts that through 2026, 60% of AI projects will be abandoned due to inadequate data foundations. 

We help organisations make better decisions, faster, by building the data foundations that power AI, improve operations and satisfy compliance demands. 

Typical customer data challenges

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Fragmented data estates

Siloed systems and disconnected ownership models create conflicting metrics, duplicated effort, and a lack of a single trusted view across your organisation.

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Low trust in data

Inconsistent quality, unclear lineage, and undefined stewardship means that you cannot rely on the data you are being presented with.

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AI readiness gaps

Without governed, high-quality data foundations, AI initiatives stall at proof-of-concept and fail to reach production.

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Regulatory pressure

GDPR and sector-specific frameworks and regulations demand traceable lineage, auditability, and demonstrable governance.

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Technical debt

Legacy data warehouses and integration pipelines constrain cloud migration timelines and obstruct modernisation ambitions.

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Skills and culture

87% of organisations face data skills shortages (McKinsey). Data literacy concentrated solely in technical teams limits business-wide action.

Our unified enterprise data service offerings 

Our unified enterprise data services cover the full data modernisation journeyfrom maturity assessment and strategy through to platform delivery, governance, analytics, and adoption. Each service is designed to stand alone or operate as part of an integrated programme. 

  • Data assessment

    A structured evaluation of your current data estate – identifying quality gaps, governance shortfalls, and AI readiness across platforms, processes, and people.

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  • Data strategy

    A tailored, business-focussed, data strategy and target operating model that aligns data investment to commercial outcomes, governance objectives, and your analytics and AI enablement priorities.

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  • Data architecture and design

    Scalable, technology-aligned architecture and design using proven frameworks – with technology options across Microsoft Fabric, Databricks, Snowflake, AWS and Oracle.

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  • Data platform and governance build

    Implementation of intelligent, scalable data platforms with in-built governance, quality controls, lineage, and stewardship embedded from day one.

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  • Data products and analytics

    Domain-specific data products, self-service analytics, enterprise-scale reporting and BI, and decision intelligence that turns your trusted data into measurable business value.

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  • Data adoption

    Change management, user adoption, data literacy programmes, and stewardship operating models to embed data capability across your full organisation.

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  • Data and AI managed services

    Our data and AI managed services streamline data support, providing expert knowledge and ensuring compliance, reliable infrastructure and deliverance of ongoing actionable insight. In addition, our ModelOps framework ensures robust AI governance.

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  • AI strategy and implementation

    Empower your business with AI that delivers immediate impact. Our engineering excellence and ethical AI approaches ensure that you are future-ready, accelerating business goals with tailored transformative AI solutions.

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  • AI and data science

    Bridge the gap between raw data and business value with practical, outcome-focused AI and data science initiatives. We deliver cutting-edge approaches to predictive modelling, experimentation frameworks, and scalable MLOps pipelines.

Our data delivery methodology

Our EVOLVE data methodology is a structured, business-led framework. We begin with a deep understanding of your challenges before implementation beginsensuring every programme is aligned to measurable outcomes from day one. 

Our data expertise 

We partner with global technology leaders to provide you with the highest quality solutions and services. Our long-standing and enhanced partner relationships and market leading expertise in each partner’s technologies allows us to tailor solutions to your unique needs.

 

We are highly accredited by our global technology partners and have been recognised and awarded for our excellence in bringing technology enabled solutions and services which drive customer success. 

Our technology partners

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Databricks

Were a trusted Databricks consulting and delivery partner, helping organisations modernise data platforms and unlock value from analytics and AI. We design and implement secure, scalable Databricks Lakehouse architectures that support real-time analytics, strong governance and advanced machine learning. As a Silver Tier Partner, we’ve invested deeply in Databricks capabilities, with a team of 50+ certified consultants backed by structured training and proven delivery frameworks to drive insight‑led decision making. 

VISIT DATABRICKS PARTNER PAGE

Complementary data offerings

Oracle database migration – Exadata 

Our expert-led Oracle Database migration services are designed to help enterprises move to modern, scalable environments on-premises, in the cloud or hybrid, with minimal disruption and maximum performance.  

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Customer remediation for banking 

We help financial institutions reduce complexity and stress through proven accelerators and a people first approach.  Our deep domain expertise and industry-leading methodologies enables organisations to achieve faster regulatory compliance, improved data accurate and significant operational efficiency.  

Learn more

Client data success stories

Contact us to arrange a data assessment

An evaluation of your existing data assets, infrastructure and capabilities to identify gaps and opportunities.