DATA CLOUD STRATEGY
Enterprise data and cloud strategy
We shape your data and cloud strategy around business priorities, platform constraints and delivery capacity, with a target architecture and phased investment plan.
- A target pattern chosen against your constraints, not a vendor slide
- A phased roadmap where early value funds and de-risks later phases
- A business case a CFO and a CDO can both sign
Drift is a decision too. It is just a worse one.
We help you decide what to standardize on, what to retire, and in what order to move.
There is no universally correct architecture. There is the one that matches your team topology, data volume, and governance appetite. Strategy sits upstream of the whole program: it sets the direction that Data and Cloud Transformation then executes, and it turns a scattered estate into a single governed standard worth building toward.
Replace platform drift with a deliberate target, and a sequence to reach it.
Four honest choices, framed against your constraints.
A lakehouse core with domain ownership layered on as maturity grows is one practical pattern, but the right destination depends on the estate and operating model. We define the target and the sequence to reach it without a big-bang rewrite.
We recommend the destination and the sequence, so you avoid the risky big-bang rewrite.
Your data and cloud strategy deliverables.
- Current-state assessment: platforms, spend, workloads, and where duplication and shadow data live today.
- Target architecture decision: the pattern, the standard platform, and the operating model behind it.
- Migration and consolidation plan: what moves, what stays, and what gets decommissioned.
- Governance and cost guardrails: ownership, data FinOps, and the policies that keep the target clean.
- Business case: the funding story, sequenced by value, that a CFO and a CDO can both sign.
From assessment to an agreed roadmap.
Map
The data estate and the demand: who consumes what, and what the business actually needs next.
Decide
The target pattern against your constraints, not against a vendor's slide.
Sequence
The roadmap so early phases fund and de-risk the later ones.
Align
Leadership on scope, cost, and ownership before a single workload moves.
Enable
Your teams to execute, or bring in a dedicated team to run the build with you.
A strategy that is not sequenced is a wish list.
We deliver a phased roadmap with clear entry and exit criteria, so the program moves on evidence rather than optimism.
6 weeks to a decision-ready strategy. We then sequence consolidation around estate complexity, dependencies and the business’s capacity for change.
Strategy sits upstream of delivery.
Discovery and Planning
Pressure-test the estate and use cases, then hand you a costed plan to fund.
Cloud Centre of Excellence
The durable owner that operationalizes the strategy after the program ends.
Data and Cloud Literacy
Raise the capability of the teams who will run the standard you set.
Data and Analytics
The wider practice this strategy work belongs to.
What data leaders ask us first.
No. A standard core with domain ownership can provide consistency without creating a single monolith. The strategy defines the standard, the exceptions and the reason for each.
Only if a central team is genuinely the bottleneck and domains can own data as a product. We test that honestly before recommending it, because a mesh without governance is worse than a warehouse.
The roadmap is deliberately phased around an anchor workload. Early value funds and de-risks the wider consolidation, so you never bet the estate on a single cutover.
Decide the right data cloud pattern for your constraints, and sequence the roadmap to reach it.
A deliberate target, a phased plan, and a business case leadership will back.