The energy, oil, and gas sector faces growing data challenges as it strives to balance safety, sustainability, and production efficiency across complex global operations. Fragmented and ungoverned master data continue to hinder asset reliability, regulatory compliance, and digital transformation across upstream, midstream, and downstream functions.
PiLog’s AI-enabled Data Quality and Governance Suite(DQGS) is solving this problem by helping mining companies standardize and govern their service and asset data across multiple regions and systems. This use case demonstrates how a leading mining enterprise is now reaping the benefits of improved maintenance efficiency, reduced procurement spend, and increased equipment uptime — all built on a foundation of ISO-aligned, high-quality master data.
Before PiLog’s intervention, mining enterprises typically struggled with:
Fragmented data across systems and geographies
Poor asset utilization and reporting inaccuracies
Compliance and safety data gaps
Risk of failing audits (e.g., ISO 14224)
Lack of standard taxonomy
Maintenance backlogs and spare part mismatches
Siloed governance
Insufficient visibility across multi-site operations
Unstructured and inconsistent records
Inventory imbalances and delayed repairs
These challenges hindered real-time decision-making, increased operational risk, and limited the ability to modernize systems and processes at scale.
Customer Success Focus: Enterprise-wide Data Governance in Mining & Metals
One of the largest Mining & Metals conglomerates faced critical challenges with inconsistent material and service master data, unstructured BOMs, and fragmented asset records across multiple plants and operations. The lack of standardization led to duplicate entries, inaccurate inventory valuation, and inefficiencies in maintenance, procurement, and reliability management processes.
Project Goals
- Cleanse and standardize Material Master, Service Master, Asset, and BOM data across all mining and smelting facilities
- Establish a centralized, ISO-aligned Master Data Governance framework for all domains
- Eliminate duplicate records and harmonize taxonomy for improved spend visibility and inventory optimization
- Integrate validated data into SAP ERP for consistent, accurate reporting and analytics
- Link material, service, and asset data to enable end-to-end traceability and reliability-focused maintenance planning
PiLog’s Deliverables
PiLog’s Solution: Implementing Master Data Governance
Using PiLog Data Quality and Governance Suite (DQGS), a comprehensive ISO-aligned Data Governance Framework was executed to transform material, service, and asset data into a governed, high-quality dataset:
- Extracted, cleansed, and validated Service Master, and Asset data from multiple legacy systems
- Standardized records using PiLog’s industry-specific taxonomy for mining and metals, ensuring ERP readiness
- Linked materials, services, and BOMs to assets for complete lifecycle visibility and maintenance reliability
- Integrated governed data into SAP ERP with full traceability, audit logs, and version control
- Enabled standardized classification using global coding systems such as UNSPSC, HS, NATO, ISIC, and eCl@ss for enhanced interoperability and reporting
Measurable Results Delivered
Standards Alignment and Recognition
Using PiLog Data Quality and Governance Suite (DQGS), a comprehensive ISO-aligned Data Governance Framework was executed to transform material, service, and asset data into a governed, high-quality dataset:
- ISO 8000: Master Data Quality Standards
- ISO 22745: Open Technical Dictionaries
- ISO 29002: Exchange of Characteristics data
- ISO 14224: Collection and Analysis of Reliability & Maintenance data
- ISO 81346: Industrial System Structuring and Classification
- ISO 55000: Asset Management
PiLog’s excellence in data governance was further evidenced by a 4.7/5 Gartner Peer Insights score, with 86% of users recommending the platform.
Conclusion
By partnering with PiLog, the mining and metals enterprise successfully transformed its material, service, and asset data ecosystem, enabling:
- Enterprise-wide data visibility and governance across mining and smelting operations
- Predictive maintenance and reliability-centered asset management
- Seamless integration with SAP ERP for intelligent, analytics-driven decision-making
- Standardization aligned with global ISO frameworks for compliance and interoperability
- Reduction in operational costs, downtime, and maintenance inefficiencies
PiLog’s AI-enabled Data Quality and Governance Suite laid the foundation for a unified, intelligent, and future-ready digital mining enterprise — driving efficiency, sustainability, and continuous improvement across all operations.
