Find where data can create thehighest business value.
A pre-scoped discovery sprint that leaves you with a written use case backlog, data source inventory, and prioritised roadmap, so your next data or AI investment is grounded in evidence before the budget is committed.
- Use case backlog
- Every candidate use case scored on business value, feasibility, and effort, so your next investment has a defensible starting point.
- Data source inventory
- A written view of what data you have, what is reliable, and what is ready to power a use case.
- Prioritised roadmap
- A phased plan with quick wins and longer-term recommendations, written up and ready to present to leadership.
The problem
The loudest request wins the data budget
Most organisations jump from a board-level data ambition straight into a platform build or AI pilot, without a written picture of where data can actually deliver the most value. Budget flows toward the loudest internal request rather than the highest-value opportunity. Early projects underdeliver, confidence erodes, and the programme starts paying down credibility debt before it has earned any.
Common symptoms
No written view of which data is reliable, relevant, or ready to act on
Use case decisions shaped by internal opinion rather than mapped business value
Quick wins buried under complex initiatives that stall before delivering anything
What this costs you
Platform and AI investment delivers partial value because priorities were assumed, not evidenced
Leadership trust in data erodes when the first use cases fail to show measurable return
The sprint approach
Three phases from alignment to actionable roadmap
Every phase is pre-scoped, time-boxed, and ends in a written artefact. The sprint closes with a use case backlog, a data source inventory, and a prioritised roadmap, ready to present to leadership or use to scope the larger programme.
Phase 1: Align
Focus
Agree the scope, business goals, and stakeholder map that will shape the assessment, before the first discovery session begins.
Key outputs
Scope definition and stakeholder engagement plan.
Phase 2: Discover
Focus
Run structured discovery sessions across business and IT, inventory current data sources, and compare reporting coverage to real information needs by function.
Key outputs
Consolidated stakeholder findings and data source inventory.
Phase 3: Deliver
Focus
Score use cases on business value and feasibility, surface quick wins, and synthesise a phased roadmap with a clear recommended first move.
Key outputs
Use case backlog, quick wins list, and prioritised roadmap.
Capabilities
What we deliver
Pre-scoped discovery that ends in a written roadmap, not an open-ended consulting engagement. Everything below is produced once, documented, and handed over.
Business opportunity mapping
Structured review across departments and processes to surface where data can add measurable value, backed by written findings.
Data source inventory
A documented view of current data assets: what exists, what is reliable, and what is ready to support a business use case.
Reporting gap analysis
Comparison of current reporting coverage against the information each business function actually uses to make decisions.
Use case scoring
Every candidate use case rated on business value, feasibility, and estimated effort, so the roadmap has a defensible starting point.
Quick wins identification
Opportunities you can deliver before the larger programme begins, chosen for speed and visible business impact.
Phased roadmap
A prioritised plan with sequenced phases and a clear recommended first move, written up and ready to present to stakeholders.
Is this right for you?
This works for your team if…
If three or more of the conditions below describe your situation, a discovery call is a useful next step.
Leaders who want the first written view of where data can deliver measurable value
Strategy & leadershipExecutives who want data investment judged on business outcomes, not technology choices
Strategy & leadershipTeams with a mandate to deliver but no scored backlog or agreed sequencing
Data & analytics teamsData leaders who need an evidence base to prioritise the next 12 months of work
Data & analytics teamsBusinesses preparing to commit to a platform, governance, or AI programme who need a written investment case first
Pre-investment evaluationHow it works
A practical delivery approach
Every engagement follows a clear path from diagnosis to delivery and handover.
Kickoff & scope
Agree the business goals, departments in scope, and decision pain points the sprint will address.
Scope definition and stakeholder map.Discovery sessions
Structured interviews with selected stakeholders across business and IT to surface data use, unmet information needs, and live pain points.
Consolidated findings across all stakeholder groups.Data landscape mapping
Review the current data sources, systems, and reporting coverage against what each function actually needs to decide.
Data source inventory and readiness assessment.Roadmap synthesis
Score use cases, name the quick wins, and sequence a phased roadmap with a clear recommended first move.
Use case backlog, quick wins list, and prioritised roadmap.
Proof & trust
Results that speak for themselves
Use case backlog
Every candidate use case scored on business value, feasibility, and effort, so your next investment has a defensible starting point.
Data source inventory
A written view of what data you have, what is reliable, and what is ready to power a use case.
Prioritised roadmap
A phased plan with quick wins and longer-term recommendations, written up and ready to present to leadership.
In practice
What it looks like when it works
Representative results from engagements across our client base.
Context
A commercial organisation with data spread across multiple systems and no shared view of which assets were reliable or ready to act on.
- Use case backlog
- Quick wins identified
- Prioritised roadmap
Context
A leadership team under pressure to act on data, with competing internal priorities and no shared view of where the highest-value opportunities sat.
- Stakeholder alignment
- Investment case
Use case backlog
Scored on business value, feasibility, and effort
Quick wins identified
Ready for delivery before the platform build began
Prioritised roadmap
Phased plan signed off by leadership within the sprint
Frequently asked questions
Your questions, answered
Two to four weeks end-to-end, depending on the number of departments and stakeholder availability.
Three to six stakeholders from business and IT, around 2 to 3 hours per person in total. We run the heavy lifting on our side, so internal disruption stays minimal.
A written sprint output covering the use case backlog, data source inventory, quick wins list, and prioritised roadmap, formatted to present directly to leadership.
Actionable. Every recommendation names what to do, who is likely accountable, and where it sits in the roadmap. Nothing is left theoretical.
The roadmap names the highest-value next move based on findings. In practice that is usually a platform build, a governance health check, or a scoped AI pilot. The sprint is designed to make that next engagement faster and cheaper to scope.
Yes. That is exactly what the sprint is built for. You leave with the evidence to green-light, descope, or reshape the bigger programme with confidence.
Next step
Where do you want to start?
Pick the path that matches where you are today. Both begin with a conversation.
Ready to ground your next data investment in evidence?
A short call to walk through the sprint scope, timeline, and the written output you will receive at the end.
- Fixed 2 to 4 week scope and around 2 to 3 hours per stakeholder, no open-ended engagement
- Written use case backlog, data source inventory, and prioritised roadmap at the end
- A clear recommended next step, sized and scoped so the larger programme can start immediately
Start with an assessment
Not ready to commit to a pilot? A 2 to 4 week assessment maps your current state and identifies the highest-value starting point, with no obligation to proceed further.
- Map your current situation and pain points
- Identify 2 to 3 high-value improvement opportunities
- Get a recommended pilot scope and expected outcomes
No obligation. Typical response within 1 business day.
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