Aerial view of large industrial oil refinery complex.

Project Snapshot

13 Years

Of engagement across all facilities

1.5B+

Data objects/metadata validated & transformed

$75M+

In total project work delivered

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Summary

Over the course of 13 years, ReVisionz partnered with this client to deliver one of the most ambitious enterprise asset data cleanup initiatives in the industry. Through a series of structured implementations across every facility, ReVisionz met all project parameters while establishing a standardized data foundation. This ultimately created the basis for enterprise-wide operational excellence.

Through this multi-year initiative, ReVisionz enabled the client to standardize its asset data across all facilities under a unified digital platform. Every piece of information was systematically validated and transformed to meet enterprise standards for completeness and trust. With 100% of migrated content addressed and enriched, the organization is now positioned to confidently deploy AI-driven tools, automation technologies and digital twin initiatives that rely on accurate and accessible engineering data.

Challenges

  • Siloed information across dozens of legacy systems and sources.
  • Business inability to locate or trust their engineering data.
  • Poor data quality blocking system integration and AI potential.
  • Longstanding organizational struggles with process and change management.
  • Little integration across engineering and operations.

Solutions

  • Executed structured, facility-by-facility migration and validation efforts.
  • Developed custom tools and AI routines to enrich and transform legacy content.
  • Maintained long-term continuity with a stable, expert team.
  • Partnered closely with stakeholders to test, validate and sign off on all data transformations.
  • Prioritized content usability over raw migration volume.
  • Addressed change concerns, guiding the transition from outdated processes that produced poor-quality information to a highly enriched end state.

Outcomes

outcomes

Single Platform Adoption

Moved client data and content from dozens of siloed systems to a standardized AIM architecture.

outcomes

Full Migration & Enrichment

Achieved end-to-end migration with significant enrichment of all migrated content for business usability.

outcomes

AI Enablement

Created the foundation for enterprise AI and automation by establishing trusted, clean data across operations.