Portfolio data migration to ENOVIA enabled real-time cost visibility across programs

PLM ENOVIA
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1

We completed a major portfolio data migration initiative last quarter that transformed our cost visibility. Previously, our portfolio data lived in legacy Excel trackers and disconnected ERP systems, creating significant delays in financial decision-making. The migration to ENOVIA Portfolio Management consolidated project costs, resource allocations, and budget tracking into a single source of truth.

The implementation took 4 months with a phased approach: Phase 1 mapped existing portfolio structures to ENOVIA’s hierarchy, Phase 2 established ERP integration for real-time cost feeds, and Phase 3 migrated historical data with validation checkpoints. We used ENOVIA’s import utilities combined with custom data cleansing scripts to ensure accuracy.

The results have been impressive - leadership now has dashboard access to portfolio health metrics updated daily instead of waiting for monthly reports. Cost variance analysis that previously took 2-3 days now happens in real-time. Our CFO can drill down from portfolio-level spend to individual project costs instantly. The ERP integration was critical for maintaining cost accuracy without manual reconciliation.

2

We used ENOVIA’s standard REST API integration framework with SAP. Created a middleware layer that polls SAP every 4 hours for cost updates and pushes changes to ENOVIA via batch processing. Real-time isn’t truly instant but 4-hour refresh cycles met our business needs. The key was establishing clear data ownership - SAP remains master for actuals, ENOVIA for forecasts and allocations.

3

This is exactly the type of migration we’re planning for Q3. How did you handle the ERP integration piece? We’re using SAP and concerned about maintaining real-time synchronization without performance impacts. Did you use standard ENOVIA connectors or build custom integration middleware?

4

What was your approach to historical data migration? We have 5 years of portfolio history that finance wants preserved for trend analysis. Did you migrate everything or just recent periods? Also curious about data quality issues you encountered during the cleansing phase.