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Case Study: PLM Data Migration for Oil & Gas Company

261347

Industry: Oil & Gas

Business Domain: Engineering Data Management & PLM Migration

Core Platform: Siemens Teamcenter PLM

Data Scope: Engineering Documents, ECRs, PRs, Working & Released Data

Business Challenge

The client needed to sunset a proprietary Document Management System while preserving critical engineering history. The project faced significant technical hurdles:

  • High Data Volume: Migrating 700,000 objects (600k Released/PR/ECR and 100k Working data).
  • Large File Footprint: 16 GB of physical files across various formats.
  • Inconsistent Source Data: Legacy data provided at the source contained naming and relationship errors that would typically cause migration failure.

The Solution (Migration Strategy)

A phased Extraction-Transformation-Load (ETL) approach was implemented using specialized automation tools:

  • Validation & Transformation (Python): Developed custom Python scripts to convert raw legacy data (.txt) into validated, standard formats (.csv). This ensured that only clean data entered the transformation pipeline.
  • CSV2TCXML Utility: Leveraged this high-performance utility for its speed and native GTAC support, converting flattened CSV data into rich TCXML structures for bulk loading.
  • Post-Load Validation (ITK): Created a custom Integration Toolkit (ITK) utility to perform deep server-side validation. This checked for broken links and metadata integrity that standard loaders might miss.
  • Data Correction (IPS Utility): Due to the “wrong data” provided at the source, the IPS (Item Production System) Utility was used to patch and correct physical file uploads and attributes post-migration without re-running the entire load.

Achievements & Business Benefits

  • 100% Data Integrity: Successfully migrated 700,000 objects with verified metadata and physical file linkages.
  • Optimized Performance: The use of the CSV2TCXML bulk loader significantly reduced downtime compared to standard PLM XML imports.
  • Zero Loss of Engineering History: Migrated both “Released” (Final) and “Working” (In-progress) data, ensuring engineers could resume work immediately in Teamcenter.
  • Scalable Architecture: Developed a reusable Data Model and Mapping Files for future migrations within the organization.
  • Automated Error Feedback: Established a closed-loop system where Post-Load ITK Validation fed directly into the IPS Utility for surgical error correction.
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