DATA CLOUD TRANSFORMATION
Phased data and cloud transformation
We plan and deliver data and cloud transformation in manageable waves, validating each workload before retiring legacy systems.
- An honest read on the stage you are actually on
- Value at the end of each phase, not one big-bang weekend
- Legacy retired only after parallel validation and an agreed cutover plan
Data and cloud transformation services.
Data and Cloud Strategy
Target architecture, business case, and a costed migration roadmap.
02Discovery and Planning
Estate audit, workload assessment, and wave sequencing.
03Cloud Center of Excellence
The operating model, standards, and governance to run the platform as a product.
04Data and Cloud Literacy
The skills uplift that makes self-service safe rather than chaotic.
The transformation only sticks when the platform underneath is right and the analytics on top earn trust, which is why this category pairs with Infrastructure and Platforms and Data and Analytics Services.
The stage you are on decides the next move.
We start by naming your stage honestly rather than selling every client the same rebuild.
Skipping stages is where transformations stall. A rehost with no re-architecture simply moves the old problems to a more expensive address.
A rehost with no re-architecture moves old problems to a more expensive address.
A phased path to your new platform.
Assess and strategize
Estate audit, target architecture, business case, and migration waves.
Land and prove
Stand up the lakehouse and migrate one high-value workload end to end.
Migrate in waves
Move workloads by priority, run parallel, and validate against source.
Modernise, optimise, transfer
Re-architect pipelines, add semantic layer and governance, then FinOps and self-service enablement.
Legacy systems are decommissioned only after the new path is validated in parallel. There is no weekend where the business flies blind.
Not a single big-bang cutover that risks the business on one weekend. Timeframes are indicative and scale with the estate; we confirm them in phase one.
Controlled migration. A platform ready to grow.
Transformation programmes fail when the knowledge leaves with the vendor. Through our dedicated-team model, the engineers who migrate your estate stay to operate and improve it, so the capability compounds inside your organisation rather than resetting at go-live.
Off the legacy warehouse, without betting the business.
BLACKWOODS · INDUSTRIAL AND SAFETY DISTRIBUTION400K+
A legacy core that scaled only by procurement, migrated in waves.
For Blackwoods, an Australian industrial supplier, we supported a phased transformation across data and core systems, validating each wave against source before retiring legacy components. The programme was planned around supply-chain continuity and delivered near real-time reporting across more than 400,000 SKUs.
What leadership asks before a migration.
It depends on the stage you are on. A lift-and-shift rehost rarely delivers, so we re-architect to a lakehouse where it matters and migrate in waves, with value at the end of each phase.
We run the new path in parallel with the legacy warehouse and validate each migrated workload against source. Legacy is decommissioned only once the new platform is proven, so reporting never goes dark.
The same embedded team that migrates your estate stays to operate and optimise it: FinOps, self-service enablement, and continuous improvement, so the capability compounds inside your organisation.
What is your legacy warehouse costing you in money, speed, and trust?
Tell us, and we will map a phased path to a modern data cloud. Start with the pillar view in Data and Analytics.