Data Strategy
Data strategy designed by people who implement it.
Most data strategies fail because they're designed by consultants who won't execute them.
Data governance, catalogue design, quality frameworks, and organisational data strategy. For enterprises that have data problems they can't solve with more tools. We design strategy we can execute — frameworks that survive contact with real engineering teams and real data.
A typical data strategy engagement
From honest assessment to executable roadmap.
Current state assessment
Audit data infrastructure, quality, team capability, and data culture — without the optimism that typically inflates these assessments. A strategy built on accurate current state is executable. One built on aspirations isn't.
2–3 weeks
Priority & governance design
Prioritise data initiatives by business impact, define data owners for every critical dataset, and design the governance framework — catalogue, dictionary, access policies, retention schedules, and quality SLAs.
2–3 weeks
Executable roadmap delivery
A prioritised roadmap with specific initiatives, owners, success metrics, and timelines. Not a framework diagram — an actionable plan your team can execute without us.
1–2 weeks
Execution support
Optional hands-on support for the highest-priority initiatives. We stay available to guide implementation, troubleshoot challenges, and adjust the roadmap as conditions change.
Ongoing
Strategy + culture
A data strategy without a data culture is a document.
We work with your leadership and engineering teams to build the habits, processes, and accountability structures that make strategy stick. Data ownership, quality accountability, and cross-team data sharing aren't technical problems — they're organisational ones.
of data strategy failures trace to organisational issues, not technical ones
Industry research
Data ownership model
Defining who owns each critical dataset and what ownership means — quality accountability, access management, and documentation.
Quality accountability
SLAs for data quality with escalation paths, monitoring, and regular review cadences.
Cross-team data sharing
Data contracts between producing and consuming teams — schema, freshness, and completeness agreements.
Leadership alignment
Executive sponsorship and governance board design to keep data strategy on track through organisational change.
Data strategy components
The building blocks of a strategy that survives contact with reality.
Frameworks that are as lightweight as possible while meeting compliance requirements.
Searchable metadata catalogue with ownership, lineage, quality scores, and usage statistics.
Role-based access control, data classification, and audit trails for regulated environments.
Automated retention schedules aligned to regulatory requirements and business needs.
Honest assessment
We assess current state without optimism.
Most organisations overestimate their data maturity. We audit infrastructure, quality, team capability, and data culture — and deliver an honest assessment that forms the foundation of an executable strategy. A data strategy built on aspirations produces initiatives that stall. One built on reality produces initiatives that ship.
Most data strategies fail because they're designed by consultants who won't implement them. We design strategy we can execute.
strategies designed to be executable
regulated industries with governance experience
From strategy to execution
We don't just hand you a document. We help you execute it.
Quick wins
Highest-impact, lowest-effort initiatives that demonstrate value within the first 4–6 weeks. Building momentum and stakeholder confidence before tackling larger initiatives.
Foundation building
Data catalogue deployment, ownership model activation, quality monitoring setup, and governance process launch. The infrastructure that makes everything else possible.
Capability expansion
Self-serve analytics enablement, advanced data quality automation, cross-team data sharing activation, and ML readiness assessment.
Governance that works
Governance that's too heavy doesn't get followed.
We've built data governance programmes for regulated industries — healthcare, finance, legal — where data lineage and quality aren't best practices, they're regulatory requirements. We know what rigour looks like. We also know that governance designed for compliance and not for usability produces documentation nobody reads and processes nobody follows.
regulated industries served
compliance audit pass rate
INSIGHTS
Thinking worth reading
Ready to build a data strategy that actually gets executed?
Let's start with an honest assessment of where you are — and a plan for where you need to be.