Multi-system opsBatch pipeline build
For: teams matching records across multiple external systems
When the same customer or account appeared across many external systems and formats, we built automated pipelines to match, standardize, and track every change.
Case study
One reliable view when the same data lives in many places
Challenge
The same customer or account existed in many external systems with different formats. There was no single reliable view, and manual matching consumed hours.
Important requirements
- Sensitive data handling and retention rules
- Different file formats and systems per provider
- Large batch volumes with full change tracking required
What we did
- Automated intake tailored to each provider's format
- Smart matching to link the same record across sources
- Complete history of every transformation
- Clean, standardized data ready for downstream automation
Results
Many providers, one view
Data sources
Automated and consistent
Matching
Full trail for every run
Accountability
Ready for daily automation
Downstream
What we delivered
Data connection layerAutomated matchingChange trackingCloud processing
What we didn't automate
- Identity matches without human review when confidence is low
- Deletion of historical records
Next step
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