Historical Data Migration
BKOAI rebuilt the facility’s data architecture and migrated historical data while preserving operational context
Goals
- Transfer historical datasets from legacy systems to modern analytics platforms.
- Recreate data archives, asset frameworks, and associated visualizations.
- Reduce manual effort involved in rebuilding data structures.
- Preserve historical data and its operational context during migration.
Challenges
- Large volumes of historical data make migration from legacy systems complex.
- Manually rebuilding data frameworks and visualizations is time-consuming and prone to error.
- Maintaining relationships between data and assets adds complexity to the transition.
- Migration must account for ongoing operations and continued access to historical information.
Solutions
- Automate the extraction, validation, and backfilling of historical data.
- Reconstruct data archives, asset frameworks, and visualizations on the destination platform.
- Standardize migration workflows to reduce reliance on manual scripting.
- Validate migrated data and reconstructed structures against the source system.
Results
- Reduced migration timelines from several months to just a few weeks.
- Maintained continuous operational uptime with zero technical interruptions for business users.
- Preserved complete data integrity with zero records lost during the archive rebuild.
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