Know what to build — before spending a euro on it.
We audit your data estate, identify the highest-value opportunities, and give you a prioritised, costed roadmap. Not a consulting report that gathers dust. A practical plan with clear next steps your team can execute.
What we deliver
- Data estate audit: inventory of all data sources, formats, owners, and quality scores
- Use case prioritisation matrix: business value vs. implementation effort for 10–20 potential initiatives
- Architecture recommendation: the right tools for your scale, team skills, and budget
- Data governance framework: ownership, access policies, data quality SLAs, and incident response
- Build vs. buy analysis for key platform components (warehouse, orchestration, BI, ML platform)
- Team skills assessment and hiring plan to execute the roadmap
- Vendor shortlist and RFP support for major platform investments
- 90-day execution plan: the first sprint of work your team can start immediately
How we work
Stakeholder interviews
We interview 5–15 stakeholders across business, data, IT, and leadership. We map the decisions they need data for, the pain points they experience, and the initiatives they have tried before.
Data landscape discovery
We catalogue every data source: databases, APIs, files, SaaS tools. We profile data quality, assess technical debt, and map data flows and ownership.
Opportunity identification
We translate business pain points into data opportunities. We score each opportunity on business impact, data readiness, and implementation complexity — and surface the quick wins alongside the strategic bets.
Architecture and tooling design
We design the target data architecture and make specific technology recommendations with rationale. We produce total cost of ownership estimates for the first 12 and 36 months.
Roadmap and handover
We produce a 12-month roadmap with quarterly milestones, resource requirements, and success metrics. We present to leadership and run a workshop with the technical team on the first quarter of execution.
Frequently asked questions
We already have a data strategy document. Do we need this?+
If the document is more than 12 months old, is not being executed, or does not reflect your current technology landscape — yes, probably. A strategy that is not being executed is just documentation. We focus on creating a plan people will actually follow.
How long does a data strategy engagement take?+
Typically 4–6 weeks from kick-off to final roadmap presentation. This includes 2 weeks of discovery, 1 week of analysis and design, and 1–2 weeks of iteration and presentation.
What if we want to implement the roadmap with you after?+
Most strategy clients do. The roadmap is designed to be executed — either by your team, by us, or a combination. We are explicit about what requires external expertise vs. what your current team can handle.