Why do data strategies gather dust?
Because they describe a destination without costing the journey. We produce strategy that survives contact with budgets and hiring plans: phased value cases, an operating model, and a Centre of Excellence your team can actually run.
The questions we ask before anything is built
Strategy work at Datuza is a working exercise, not a slide exercise. These are the questions it must answer.
- Which three business outcomes justify the whole investment — and what is each worth?
- What must be delivered in the first ninety days for the programme to keep its mandate?
- Build, buy or partner — for each capability, on what evidence?
- What team do you actually need, in what sequence, at what cost — and where is the key-person risk?
- How will the board know, each quarter, that value is arriving?
Capabilities, stated as outcomes
Phased value roadmaps
Multi-year roadmaps sequenced by value, not by architecture diagrams — each phase fundable and provable on its own.
Centre of Excellence design
Operating models for AI, data and reporting CoEs — pillars, roles, governance cadence and the resourcing plan behind them.
Platform & vendor selection
Evidence-based selection across the Azure, Databricks and Fabric landscape — trade-offs documented, decisions defensible.
Capability & resourcing plans
Hiring sequences, cost models and knowledge-transfer plans that de-risk delivery — including the risks nobody put on the slide.
Three shapes of engagement
Strategy engagements typically run two to eight weeks and end with something fundable — not a deck that needs another deck.
Advisory
Senior architecture counsel by the day — reviews, decision support, and a second pair of eyes on the choices that are hard to reverse.
Delivery
A small senior squad that designs and builds — architecture, engineering and knowledge transfer as one engagement, with confirmation gates at every phase.
Review & rescue
An independent, evidence-based assessment of an existing platform or stalled initiative, with a costed path forward.