Executive Summary
The Aerospace and Defence (A&D) sector faces increasing data challenges as it navigates complex manufacturing processes, stringent safety regulations, and globally distributed supply chains. Fragmented and ungoverned master data continues to hinder operational efficiency, compliance, and digital transformation across the industry.
PiLog’s AI-enabled Data Quality and Governance Suite (DQGS) addresses these challenges by helping A&D organizations standardize, validate, and govern their engineering, asset, and maintenance data across multiple systems and geographies. This use case demonstrates how a leading aerospace enterprise is now achieving enhanced data accuracy, improved operational reliability, and faster decision-making all built on a foundation of ISO-aligned , high-quality master data.
Industry Challenges in Aerospace and Defense
Before PiLog’s intervention, Aerospace and Defence (A&D) enterprises typically struggled with:
Fragmented and ungoverned data across engineering, manufacturing, and maintenance systems
Inaccurate asset tracking, duplication of effort, and reduced production efficiency
Lack of standardized part, equipment, and maintenance taxonomy
Inconsistent data structures leading to errors in procurement, MRO, and compliance reporting
Disconnected supply chain and lifecycle management systems
Delays in component availability, maintenance backlogs, and increased operational costs
Incomplete or inaccurate technical documentation
Compliance risks with aviation and defence standards such as ISO 9001, AS9100, and MIL-SPEC
Siloed governance across programs, facilities, and global operations
Limited traceability, poor interoperability, and weak data-driven decision-making
These challenges led to inefficiencies across the A&D value chain impacting reliability, compliance, and mission readiness and restricted the industry’s ability to achieve digital transformation and operational excellence at scale.
Customer Success Focus: Material Master and BOM Standardization
A major aviation engineering enterprise operating across one of the world’s busiest airports faced major challenges with fragmented asset records, inaccurate physical location data, and unstructured asset hierarchies across 400+ facilities. These inefficiencies caused poor maintenance visibility, delays in spare parts tracking, and compliance risks in facility and asset management .
Project Goals
- Establish a centralized and structured Asset Master database for all maintainable systems
- Validate and verify source data accuracy across multiple facilities
- Build a standard Functional and Physical Location structure
- Eliminate duplicate and obsolete asset records to optimize maintenance
- Integrate governed and standardized asset data into ERP and CMMS systems
These challenges led to inefficiencies across the A&D value chain impacting reliability, compliance, and mission readiness and restricted the industry’s ability to achieve digital transformation and operational excellence at scale.
PiLog’s Deliverables
0K+
Asset Records Verified & Standardized
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Functional & Physical Location Structures Developed
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Equipment Hierarchies & Classifications Defined
PiLog’s Solution: Implementing Master Data Governance
Using PiLog DQGS platform, a comprehensive and ISO-aligned Master Data Governance (MDG) framework was implemented to transform the aerospace enterprise’s fragmented and inconsistent data landscape into a unified, trusted source of truth:
- Established centralized governance for Asset, Material, and Maintenance Master data across engineering and defense operations
- Standardized and enriched records using PiLog’s domain-specific taxonomies for consistency, traceability, and compliance readiness
- Implemented data validation workflows and approval hierarchies for quality assurance across global facilities
- Enabled seamless integration with ERP and maintenance systems to support predictive analytics and operational efficiency
- Applied AI-driven duplicate detection and taxonomy-based classification controls to enhance reliability and interoperability
- Enabled standardized classification using global coding systems such as UNSPSC, HS, NATO, ISIC, and eCl@ss for enhanced interoperability and reporting
Measurable Results Delivered
| Metric / KPI | Impact Achieved | Strategic Value |
|---|---|---|
| Data Accuracy & Completeness | ↓ 0% | Enhanced maintenance planning and asset reliability |
| Duplicate Asset Reduction | ↓ 0% | Reduced maintenance delays and data redundancy |
| Asset Traceability & Visibility | ↓ 0% | Improved tracking and faster fault resolution |
| ERP & CMMS Integration Readiness | ↑ 0% | Streamlined maintenance operations and reporting |
| Maintenance Efficiency | ↓ 0% deployment time | Faster asset servicing and optimized resource use |
| Regulatory Compliance | ↑ 0% | Ensured audit readiness and safety compliance |
These improvements delivered measurable business value by enhancing asset visibility, streamlining maintenance operations, and ensuring full compliance with global standards. With accurate, traceable, and ERP-integrated asset data, the organization achieved faster maintenance cycles, reduced duplication, and improved operational reliability establishing a strong foundation for scalable, intelligent, and data-driven facility management.
Standards Alignment and Recognition
PiLog’s implementation aligned with recognized global standards:
- 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.