Cloud Migration Consulting
Cloud migration consulting that turns legacy data platforms into a cloud-native AI advantage
Cloud Migration Strategy That Delivers Results
We design, build and operate cloud data migration solutions that move your analytics, AI and BI workloads from on premise to cloud-native and multi cloud data platforms – safely, fast and with measurable cost savings.
Why your cloud migration is stuck
Is your cloud migration supposed to cut costs and unlock AI, but instead feels risky, slow and impossible to execute without breaking critical reports and operations? Modernizing from on premise to cloud data platforms often stalls because of unclear ownership, underestimated complexity and fear of outages. Teams see overlapping tools, fragile pipelines and compliance concerns, so data migration to the cloud becomes a series of tactical fixes instead of a structured, value-focused transformation.
Modernize your data landscape with a cloud data migration strategy that cuts infrastructure spend, unlocks AI use cases and gives you real-time data migration reporting you can trust.
Decommission on premise data centers and right-size cloud compute and storage
Achieve 30–50% infrastructure cost reduction over 3 years
Move from legacy platforms to cloud-native AI platforms
Deliver new analytics and AI use cases 2–3x faster
Get near real-time visibility into migration progress and data quality
Build stakeholder trust with automated dashboards and reconciliation
Reduce incidents on reporting and data pipelines by 40–60%
Use automated testing and quality-by-design approach
How Collaboration Looks in Practice
We align business goals, KPIs, priority lines, use cases, and constraints with service, operations, digital, and IT stakeholders
We review sample data, telephony setup, routing logic, and system dependencies to identify the best first use case
We design conversation flows, implement integrations, configure guardrails, and launch the first production use case. Estimated timeline: 6-8 weeks to first outcome
We optimize real call data and expand to more lines, markets, and languages
Business Impact of Migration to Cloud
30–50% infrastructure cost reduction over 3 years by decommissioning on premise data centers and rightsizing cloud compute and storage.
2–3x faster delivery of new analytics and AI use cases thanks to standardized data migration on cloud, reusable patterns and automated testing.
40–60% fewer incidents on reporting and data pipelines after migration due to built-in quality checks, observability and clear ownership.
Weeks instead of months to roll out cloud to cloud data migration for new regions or acquisitions, accelerating integration and time-to-value.
Measurably higher data adoption across business units as users gain a single, trusted multi cloud data platform instead of fragmented legacy systems.
Who gets the most value from cloud migration
Typical Cloud Migration Use Cases
From modernizing BI landscapes to migrating Hadoop clusters, our cloud migration solutions serve diverse operational and industry needs.
Most Common Questions
We start with a discovery and assessment phase, define a phased strategy, and implement layered controls.
We start with a discovery and assessment phase, define a phased data migration to cloud strategy, and implement layered controls: reference architectures, automated cloud data migration testing, clear rollback plans and real-time data migration reporting dashboards for your stakeholders.
Yes, we design cloud agnostic architectures that span on premise, private cloud and multiple public clouds.
Yes, we design cloud agnostic architectures that span on premise, private cloud and multiple public clouds, using containerization and multi cloud orchestration so workloads can run where they are most secure and cost-effective.
Not necessarily; we often integrate your existing tooling into a broader solution.
Not necessarily; we often integrate your existing data migration cloud tooling into a broader cloud data migration solution, filling capability gaps and standardizing patterns so teams work with a consistent playbook rather than isolated scripts.
We apply FinOps and performance engineering practices from day one.
We apply FinOps and performance engineering practices from day one, including right-sizing, workload scheduling and storage optimization, and we continuously benchmark your big data cloud and data lake environments against agreed SLAs and budgets.
We have deep experience in Google Cloud but also deliver migrations on Azure and AWS.
We have deep experience in google cloud data migration, but we also deliver migrations on Azure and AWS and often run cloud to cloud data migration between providers as part of broader modernization programs.
Book a 30-minute consultation about your cloud migration
Share where you are on your cloud data migration journey, and we will walk you through concrete options to modernize your platform, reduce risk and unlock new AI and analytics value within the next 6–12 months.
Discovery Session
A 30-minute call where you share your current data landscape, migration goals and constraints with our cloud migration experts.
Architecture Review
Our architects review your existing on premise and cloud infrastructure to recommend the optimal cloud agnostic architecture for your workloads.
Migration Roadmap
We provide a phased cloud data migration strategy with timelines, risk assessments, cost projections and measurable KPIs for each migration wave.
Case Study Review
Explore how the VALUE framework delivered 10:1 ROI — read the full case study to understand the methodology and outcomes in a real enterprise deployment.