How a Global Oil & Gas Leader Unlocked 15% Cost Savings Through Data Integrity
Despite managing over 150K Assets, a major Oil & Gas leader faced a critical challenge fragmented data was obscuring the true performance of their infrastructure. With mismatched maintenance and material records, the organization struggled with operational blind spots that threatened both their bottom line and plant reliability.
Pain Points
Fragmented Asset Visibility
Managing 150K+ assets and hierarchies without a unified "Best in Class" maintenance foundation.
Inventory & Material Bloat
Over 80,000 material records and 30,000 eBOMs lacked the synchronization needed for lean procurement.
Maintenance Uncertainty
A disconnect between task lists (50K+) and actual asset criticality, leading to reactive rather than predictive care.
Operational Friction
Lack of standardized SOPs and KPIs across 60,000+ templates, slowing down large scale Turn Around Maintenance Management.
Financial Leakage
Inefficient planning and procurement parameters leading to inflated carrying costs and suboptimal equipment life cycles.
The Solution
AI-Powered Data Creation
Leveraged AI for PM & MM data creation to cleanse and enrich 40,000+ Maintenance Plan Categories (MPCs).
Asset & Material Criticality Analysis
Implemented rigorous analysis to develop tailored asset strategies (Run Time, CBM, and Predictive).
S4 HANA & PiLog DQG Integration
Established a "Single Source of Truth" by synchronizing O&M with TAMM planning within the SAP Suite.
Standardization at Scale
Consolidated fragmented data into 100+ global standards and 15+ robust Data Governance objects.
Reliability by Design
Fine tuned procurement master and meta-data parameters to align stock levels with actual operational needs
Convert your Asset data into a driver for massive dollar savings.
By aligning your maintenance strategy with a high integrity data foundation, you bridge the gap between technical reliability and financial performance.
