Cloud & platforms
Snowflake, Databricks, BigQuery, Fabric and Redshift, delivered as code.
Explore the servicePlatform migration & adoption
Migrate to — or finally adopt — your data platform
When you have bought Snowflake, Databricks, BigQuery or Microsoft Fabric but the migration or adoption has stalled, we run a readiness assessment, migrate domain by domain with reconciliation, and drive adoption with governance and enablement.
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Delivery leads online — talk to a human, not a botForCIOs, Heads of Data & platform owners
Start withData Audit & Roadmap
ServingWorldwide
Platform migration & adoptionGlobal delivery
100% delivery success — delivered worldwide across seven regions
AWS
Microsoft Azure
Google Cloud
Databricks
Snowflake
dbt
Power BI
Looker Studio
Azure Synapse
MongoDB
Python
LangChain
AWS
Microsoft Azure
Google Cloud
Databricks
Snowflake
dbt
Power BI
Looker Studio
Azure Synapse
MongoDB
Python
LangChain
Sound familiar?
The symptoms we hear on the first call
If two or three of these are true, this is the right page.
- You bought the platform but workloads never fully moved
- Costs are climbing while adoption stays low
- A migration started, then stalled when it got risky
- Teams still run the old reports because they trust them more
Platform migration & adoptionWhere you are today
What you get
Here is how we fix it
One accountable team, working as an extension of yours — and you own everything at handover.
- A readiness assessment and target architecture
- Domain-by-domain migration with reconciliation — never a big-bang cutover
- Workload conversion, tuning and cost controls
- Governance, enablement and adoption so the platform actually gets used
Platform migration & adoptionWhat we build
The capability behind it
The same senior bench, packaged for your situation
Data modernisation
Off legacy by domain, in parallel, with reconciliation at every step.
Explore the serviceGovernance & adoption
Access, lineage and enablement so the platform is trusted and used.
Explore the serviceProof
Related work
Global delivery track record across data and AI.
FMCG · Nestlé
Workforce analytics for Nestlé’s supply & demand planning
HR data marts on SAP feeding automated daily ingestions through AWS Glue and Databricks, on a medallion architecture, so planners could see available resource against production targets.
DailyAutomated ingestions
MedallionData architecture
Data strategy · Germany
One source of truth from 50+ scattered sources
Data strategy and cloud architecture on Google Cloud, ingesting 50+ sources through Stitch, modelled in dbt and surfaced to the CEO and Head of Product in Looker Studio.
50+Sources unified
ExecLive dashboards
Marketing · EMEA
Marketing and CRM data unified across 20+ EMEA countries
A digital-transformation programme that consolidated marketing and CRM data across the region on Azure and Power BI, with a custom lead-management automation built on Power & Logic Apps.
80%Manual workload cut
20+EMEA countries
FAQ
Questions buyers actually ask
Straight answers. If yours is not here, ask us on a call — we will tell you if we are the wrong fit.
Ask a questionIt depends on your workloads and who you can staff. If most work is SQL and BI, one tends to win; if it is heavy on ML and unstructured data, the other does. We will show you the cost model for both.
Domain by domain. A first domain usually lands in six to ten weeks; a full estate is measured in quarters — but you get value from the first domain, not the last.
Access control, lineage, retention and residency are part of the build, not a later phase. We deploy inside your cloud tenancy where that is required.
Next step
Ready to find out what your data is worth?
Thirty minutes with a delivery lead, not a salesperson. You leave with a point of view on your highest-value use case and what it takes to ship it.