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STILL RUNNING ORACLE, SAP, SAS OR HADOOP?

Modernize without the big bang migration.

Decide what to keep, what to modernize and what to replace, workload by workload.

Does This Sound Like Your Environment?

  • Oracle, SAP, SAS, Hadoop, or SQL Server still support workloads the business depends on every day.
  • Leadership has decided it's time to modernize, but nobody has defined what should move, what should stay, and what should change.
  • Analytics teams need AI-ready data, but the current estate makes innovation slow and expensive.
  • Multiple platforms are performing overlapping functions across the business.
  • The instinct in the room is often "replace everything." That's usually where migration programmes start going wrong.

See how to build a practical migration path, workload by workload, without unnecessary risk or disruption.

The 5 Decisions Behind Successful Migrations

Remain

Which workloads are working well & don't need to move today?

Connect

Which systems simply need to feed data into the new platform?

Consolidate

Which duplicated platforms can be brought together?

Retire

Which workloads no longer deliver business value?

MIGRATE

Which workloads should move, and in what order?

Most legacy estates are a mix of all five. Treating migration as one big switch-flip is the most common reason these programs blow their timeline and budget.

Real-World Examples

Proof That It Works at Scale

Legacy platform modernization for a global engineering manufacturer.

Proof Point

  • 12M+ Telemetry records processed per asset
  • 1,000+ Users on secure access and governance framework
  • 125+ Specialists, grown from a small core team
  • 10+ Years Ongoing partnership since 2014

Enterprise data warehouse modernization for a global healthcare organization.

Proof Point
  • 9+ Years Ongoing partnership since 2017
  • 14 FTEs Dedicated team
  • EMEA, ME & Africa Regional BI platforms supported
  • Automated ETL processes and real-time monitoring

Azure data migration across 50 countries for a global biopharmaceutical organization

Proof Point

  • 50 Countries Connected on a single platform
  • 1,000+ Users Consistent KPIs and self-service reporting
  • 5 Regions EMEA, META, APAC, China, LatAm
  • First of Its Kind Among the earliest Microsoft Fabric deployments in Pharma

From predictive maintenance platforms and enterprise reporting environments to global Azure data foundations, these deployments demonstrate how complex data estates can be modernized without a disruptive system-by-system replacement.

Download Case Studies

If you have any questions about the case studies and our Data & AI expertise, 
please contact marketing.growingmarkets@inetum.com

let's move forward, together