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Master and meta data – the foundation for SAP Plant Maintenance, Intelligent Asset Management and Field Service Management
The integration of ready-to-use master and metadata is the cornerstone of SAP Plant Maintenance, SAP Intelligent Asset Management & SAP Field Service Management. This foundation ensures seamless quality, governance and synchronization of asset data across all stages of the asset lifecycle, including design, development, construction, commissioning, operation, maintenance, and service.
Leveraging PiLog’s Data Quality & Governance suite, organizations can achieve scalable, consistent, accurate, and up-to-date asset information, crucial for effective decision-making and various maintenance strategies, including predictive, preventive, corrective, and condition-based maintenance and field services thereof. The unified data model and real-time data orchestration enhances transparency and operational efficiency, enabling enterprises to optimize maintenance strategies, improve asset performance, optimal service delivery, ensure compliance with standards, and guarantee safety.
This keynote will explore the critical role of master and meta data in establishing a robust framework for intelligent asset management and field service management, highlighting the benefits of integrated data governance and advanced analytics in driving sustainable asset management practices.
Leveraging PiLog’s Data Quality & Governance suite, organizations can achieve scalable, consistent, accurate, and up-to-date asset information, crucial for effective decision-making and various maintenance strategies, including predictive, preventive, corrective, and condition-based maintenance and field services thereof. The unified data model and real-time data orchestration enhances transparency and operational efficiency, enabling enterprises to optimize maintenance strategies, improve asset performance, optimal service delivery, ensure compliance with standards, and guarantee safety.
This keynote will explore the critical role of master and meta data in establishing a robust framework for intelligent asset management and field service management, highlighting the benefits of integrated data governance and advanced analytics in driving sustainable asset management practices.
