Service Line 02
Data & Cloud Transformation
Turn your data into a strategic, secure, scalable asset. Cloud-native platforms with FinOps guardrails, integrated BI, and a DataOps practice you can hand back to your team.
Overview
Every AI ambition, every analytics initiative and every regulatory deadline rests on the same thing: a data foundation you can trust. We build that foundation cloud-native, govern it by design, and keep the cost honest, then we transfer the practice so your team runs it.
The problem
Your data is an asset trapped in silos.
Fragmented sources, undocumented pipelines and runaway cloud bills make data a liability instead of an advantage. AI makes it worse, because you cannot build trustworthy models on data you cannot govern. We rebuild the foundation: architecture, governance and the operating practice to keep it healthy.
Signs it's time
You might recognise these.
If two or three of these feel familiar, this is the conversation to have.
Reports disagree because there is no single source of truth.
Cloud spend climbs every quarter and nobody can say why.
Compliance requests take weeks of manual data wrangling.
Your AI roadmap is blocked on data nobody trusts.
What we deliver
A data foundation AI can actually run on.
Cloud-native platforms, governed by design, with cost guardrails and a DataOps practice handed back to your team.
Data Strategy and Architecture
A target architecture mapped to business outcomes: domains, contracts and the path from where you are to where you need to be.
Data Security, Governance & Compliance
Lineage, access control, classification and audit so data clears GDPR, sector regulators and your own risk function.
Cloud & Data Platform Engineering
Lakehouse and warehouse platforms built cloud-native, with infrastructure-as-code and FinOps cost guardrails.
Data Integration, Migration & Modernization
Move off legacy stores without downtime, using event-driven integration and tested, reversible migrations.
BI and Data Visualisation
Decision-ready dashboards and semantic layers, so the business reads one version of the truth.
DataOps
CI/CD for data, testing, monitoring and alerting: pipelines you can change with confidence.
Managed Services & Continuous Optimization
Optional ongoing operation and cost optimisation while your team ramps to full ownership.
What you keep
What you walk away with.
- 01A cloud-native data platform deployed as infrastructure-as-code
- 02Governance, lineage and access controls built in
- 03FinOps cost guardrails, budgets and dashboards
- 04A tested, reversible migration off legacy stores
- 05A DataOps practice and runbooks owned by your team
How it runs
Discovery to handover.
Every engagement follows the same path, written down, so you always know where it is, and where it ends.
- 01
Discovery
We map sources, lineage, cost and the regulatory surface, then write the target architecture and a costed migration path.
- 02
Platform build
Cloud-native foundation stood up as code, with governance, security and FinOps guardrails from the first commit.
- 03
Migrate & integrate
Tested, reversible migration off legacy stores with event-driven integration. No big-bang cutover.
- 04
Operate & hand back
DataOps practice transferred to your team, with monitoring, runbooks and optional managed support.
Outcomes
Built to move a number that matters.
40%
lower run-rate cloud cost
3×
faster, safer deployment cadence
1
governed source of truth
FAQ
Common questions.
- Which cloud platforms do you work with?
- AWS, Azure and GCP. We are cloud-native and vendor-pragmatic, so the platform choice follows your existing footprint, skills and regulatory constraints.
- How do you control cloud cost?
- FinOps guardrails are built in from day one: tagging, budgets, right-sizing and continuous optimisation, so cost is observable and accountable rather than a quarterly surprise.
- Can you migrate without downtime?
- Yes. We favour event-driven integration and tested, reversible migrations over big-bang cutovers, so the business keeps running throughout.
Keep exploring
The other service lines.
Let's talk
Ready to talk about Data & Cloud Transformation?
A senior engineer on the call from day one. Two weeks to a written architecture and a working reference build.