Oracle to Snowflake for investment banking payments

• Automated reconciliation and validation to support controlled cutover
• Consistent KPI definitions across payment rails and reporting teams
• Faster reporting delivery through modern modelling standards and reusable datasets
• Accelerated Oracle migration delivery by using a wave based plan, automated testing, and parallel runs for critical payment domains
• Reduced reporting friction by aligning stakeholders on a single set of definitions and publishing a governed semantic layer for consistent metrics
• Improved reliability by introducing monitoring, data quality checks, and a clear release process for pipelines and models

Datasphere Dynamics delivered a controlled migration from Oracle to Snowflake with a refactor first approach.

We began by mapping the payments reporting landscape and grouping assets into migration waves based on business criticality and cutover risk. We introduced automated reconciliation checks so every migrated dataset could be validated for completeness and accuracy.

To modernize analytics, we rebuilt transformations using consistent modelling standards, embedded testing, and documentation. We then delivered a governed BI layer with agreed KPI definitions to remove reporting inconsistency across teams.

Alongside the build, we introduced practical operating standards for quality, monitoring, and releases so the platform remained reliable after cutover.