📄 Flat File (CSV)
Robust data ingestion capability supporting bulk identity operations
Overview
Some organizations still rely on batch file exports (like CSV) from older systems without APIs or direct database access. Lumos can ingest these CSV files and reconcile the data—such as user records, entitlements, or access changes—into its identity governance processes. CSV imports are straightforward to set up and ideal for data that changes infrequently or for initial bulk migrations.
Key Features
- Flexible Mapping: Define which CSV columns map to Lumos user attributes and entitlements.
- Scheduled Imports: Automate daily, weekly, or monthly imports through external scripts or workflow tools.
- Error Handling: Validate data formats and detect anomalies (e.g., malformed email addresses, duplicate entries).
Real-World Example
- Scenario: A retail company needs to integrate seasonal employee data from multiple HR systems that only support CSV exports.
- Outcome: Established automated processing of CSV files with proper validation and error handling, reducing manual processing time by 90%.
- Implementation: Configured automated file processing with custom field mapping.
Benefits
- Low Complexity: CSV imports are quick to set up and don’t require specialized API or SDK knowledge.
- High Compatibility: Nearly any system can export CSVs, making it a universal fallback for data ingestion.
- Bulk Updates: Ideal for initial data loads, mass attribute changes, or handling seasonal worker onboarding en masse.
- Audit Trail: Complete tracking of import operations
Considerations
- Latency: CSV-based integrations lack real-time updates; changes may only be reflected after the next scheduled import.
- Data Accuracy: Manual CSV generation or exports can introduce errors. Establish clear data governance policies.
Updated 15 days ago
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