The challenge
The bank needed to move its analytical environment onto Databricks without disrupting existing analytical workloads.
Migrated a retail bank's analytical assets to Databricks through a structured, validated migration process.
Ref: CDATA104341
Video story · 1:01
The challenge
The bank needed to move its analytical environment onto Databricks without disrupting existing analytical workloads.
The approach
Kumulus combined an assessment, environment preparation, a controlled migration of analytical assets and post-migration validation.
The outcome
The retail bank has a modern data-platform path while preserving continuity for existing analytical workloads. A selected analytics estate was migrated to Databricks through assessment, target-environment preparation, controlled asset migration and post-migration validation.
Could this work for your organisation?
The AI Audit shows where data and AI will deliver measurable value for you first.