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Problem

Technology and data leaders face increasing pressure to:

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Scale analytics and AI capabilities

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Improve decision-making across the organisation

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Manage platform complexity and cost

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Reduce risk and ensure compliance

We help you solve this by building modern data platforms and governance that actually work in practice.

What We Do

We design and deliver modern data platforms, governance frameworks, and operating models that turn strategy into execution.

Data Governance, Strategy & Operating Models

Create trusted, well-governed data that enables innovation

Effective data requires clear ownership, practical governance, and an operating model that works across your organisation.

What we deliver

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Data strategy and governance frameworks

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Data ownership and stewardship models

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Establishing and scaling data functions

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Investment cases for data initiatives

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Governance across centralized, federated, and data mesh models

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Data maturity assessments and improvement roadmaps

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Data protection and compliance assessments

Outcome

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Trusted data. Clear ownership. Scalable governance that supports innovation.

Data Architecture, Modelling & Platform Delivery

Design and deliver modern, scalable data platforms

We work with technology leaders to define enterprise data architecture and build platforms that support analytics, data products, and AI.

Capabilities

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Enterprise data architecture design

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Data modelling and data product design

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End-to-end data pipeline engineering

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Modern data platform implementation

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Platform optimisation and modernisation

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Technology selection and architecture guidance

Outcome

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Scalable platforms. Integrated systems. Data ready for analytics and AI.

our Lead Consultants

Led by experienced data practitioners

Martin

Data and AI leader with global executive experience, Martin French specialises in enterprise data strategy, governance, and engineering transformation across complex, regulated organisations.

Neil

Former civil servant turned consultant, Neil McIvor brings 23 years of UK public sector data leadership, statistics, and large-scale analytics expertise to every engagement.

Matt Curtis

Matt Curtis is a principal data consultant at esynergy, leading data strategy, building scalable platforms, and driving transformation across insurance and financial services organisations.

Our Team Model

A curated network of proven data specialists

We partner with a carefully selected community of engineers, architects, data specialists, and delivery practitioners.

Every consultant goes through a rigorous three-stage vetting process:

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Experience and capability screening

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Role-specific technical assessment led by SMEs

03

Cultural fit and delivery alignment interview
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High-performing teams that deliver real outcomes from day one.

Technology-agnostic, partner-enabled

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From strategy to measurable outcomes

We deliver change through small, expert teams combining strategy, engineering, and design.

Agile by default

Iterative delivery that enables rapid learning and adaptation

Client partnership

We work alongside your teams throughout delivery

Outcome focused

Success is measured by business value—not activity

Lean expert teams

Small, specialist teams aligned to the problem

Technology agnostic

Solutions based on your needs, not vendor bias

Knowledge transfer

We leave your team with the capability to own and evolve

Common Questions

How can esynergy help organisations become more data-driven?

esynergy can help become data-driven by assisting in the operationalisation of data as an asset, including full scale enterprise governance and analytics programmes, turning data into actionable insights.

What is a modern data platform?

A modern data platform is the basis for data processing in any business serious about harnessing the power of their data.

How does esynergy build scalable data platforms?

esynegry builds scalable data platforms using domain-driven design, cloud-native architectures, and data-as-a-product principles to enable modular, resilient, and scalable systems.

What are data products and why do they matter?

Data products are curated, reusable data assets designed for specific needs, and they matter because they enable scalable, reliable, and value-driven use of data across organisations.

How can data products create business value?

Data products create business value by delivering trusted, reusable data that enables better decisions, op efficiency, potential new revenue streams, and quicker innovation.

How do data contracts improve data reliability?

Data contracts improve data reliability by enforcing agreed schemas, quality rules, and expectations between producers and consumers, reducing breakages and ensuring consistent, trustworthy data.

What is a data maturity assessment?

A data maturity assessment is a structured evaluation of an organisation’s data capabilities, practices, and governance to determine its current state and identify opportunities for improvement.

How can organisations measure their data maturity?

Organisations measure their data maturity by benchmarking their data capabilities using an assessment tool to evaluate governance, quality, architecture, and analytics.

How can an enterprise data strategy drive better business outcomes?

An enterprise data strategy drives better business outcomes by aligning data capabilities with business goals to enable informed decisions, operational efficiency, innovation, and measurable value.

What does it take to build a truly data-driven organisation?

Building a  data-driven org requires aligned leadership, strong governance, high-quality accessible data, the right technology, and a culture of data literacy and decision-making.

How can organisations turn data into a strategic asset?

Orgs can turn data into a strategic asset by governing it, treating it as a product, embedding it in decision-making, and aligning its use to measurable business value.

How do organisations ensure data protection and regulatory compliance?

Orgs can ensure data protection and regulatory compliance by implementing strong governance, security controls, and privacy practices with accompanying policies and standards that are aligned to regulations, verified by continuous monitoring.

What is a trusted data architecture and why is it important?

A trusted data architecture is a design that ensures data is accurate, secure, governed, and accessible, and  is important because it underpins reliable insights, compliance, and confident, accurate decision-making.

How can organisations implement enterprise data management at scale?

Orgs can implement enterprise data management at scale by applying strong governance, automating quality and lineage checking and logging, leveraging cloud platforms, and decentralising ownership through domain-aligned data products.

Turn your data strategy into working capability

Let’s design and deliver a data platform that supports real business outcomes.