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Featured Content
Topics

Explore critical topics shaping today’s SAP landscape—from digital transformation and cloud migration to cybersecurity and business intelligence. Each topic is curated to provide in-depth insights, best practices, and the latest trends that help SAP professionals lead with confidence.

Regions

Discover how SAP strategies and implementations vary across global markets. Our regional content brings localized insights, regulations, and case studies to help you navigate the unique demands of your geography.

Hot Topics

Dive into the most talked-about themes shaping the SAP ecosystem right now. From cross-industry innovations to region-spanning initiatives, explore curated collections that spotlight what’s trending and driving transformation across the SAP community.

SAP Enterprise Asset Management

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What is Enterprise Asset Management?

Enterprise Asset Management (EAM) in SAP focuses on managing and maintaining an organization’s assets throughout its lifecycle. It employs systematic approaches such as asset tracking, planning, maintenance, and analysis to ensure optimal asset utilization and performance.

What is Enterprise Asset Management?

Enterprise Asset Management (EAM) in SAP focuses on managing and maintaining an organization’s assets throughout its lifecycle. It employs systematic approaches such as asset tracking, planning, maintenance, and analysis to ensure optimal asset utilization and performance.

By leveraging advanced technologies such as IoT (Internet of Things) sensors, predictive analytics, and cloud-based platforms, Enterprise Asset Management (EAM) in SAP enables organizations to monitor asset health, schedule preventive maintenance, manage repairs, and make informed decisions on asset acquisition or disposal. This proactive and data-driven approach to asset management helps organizations minimize downtime, reduce costs, extend asset lifespan, and improve overall operational productivity.

SAP Enterprise Asset Management (EAM) empowers organizations to align their asset management best practices with their broader organizational goals and achieve sustainable competitive advantage.

How Does an EAM System Work?

As the landscape of Enterprise Asset Management (EAM) in SAP continues to evolve, traditional on-premise systems have given way to modern cloud-based solutions. This technological advancement brings advantages like increased data storage capacities, enhanced security measures, and seamless integration with complementary applications such as supply chain management systems, mobile workforce management systems, Internet of Things (IoT) sensor systems, GIS (geographic information systems), GPS, and various other applications. By leveraging cloud platforms, organizations can efficiently manage their assets and also benefit from scalability, flexibility, and accessibility to real-time information while optimizing their asset management processes and driving operational excellence. EAM involves the following steps:

  • Collecting and storing asset data in the cloud, utilizing the cloud’s agility to centralize asset information and generate analytical insights.
  • Using data to guide asset strategy and optimize productivity by leveraging ML and predictive analytics to assess risks.
  • Proactively schedule and maintain inspections, prioritize critical assets to minimize downtime, and resolving issues.
  • Extending EAM system capabilities to workers enables management of work orders, asset processes, remote tracking, and maintenance process management.

Why is Asset Management Important?

Asset management is crucial for organizations across industries as it enables them to optimize the use of physical assets while minimizing downtime and maximizing returns. It also helps mitigate risks by proactively addressing potential failures and ensuring asset reliability. Informed decision-making is facilitated by analyzing asset data, allowing organizations to strategically plan investments, optimize portfolios and support regulatory compliance and ensure adherence to standards and regulations. Overall, effective asset management enhances operational efficiency, reduces risks, supports decision-making, and leads to improved profitability and long-term success.

SAP Intelligent Asset Management

SAP offers SAP Intelligent Asset Management, a suite of solutions that “enables an organization to use sensor technologies and predictive analytics to improve asset health.” The four solutions and some of their capabilities include:

  • SAP Asset Intelligence Network SAP: Asset Intelligence Network offers collaborative capabilities and automated equipment tracking and enables organizations to seamlessly connect with stakeholders across the asset lifecycle. By leveraging this network, businesses can effectively manage and maintain their assets while benefiting from real-time insights. The platform automates equipment tracking and streamlines asset management processes, enhances operational efficiency, and enables proactive decision-making regarding maintenance, repairs, and replacement. SAP Asset Intelligence Network empowers organizations to optimize their EAM strategies, improve asset performance, and drive operational excellence in a collaborative and automated environment.
  • SAP Predictive Asset Insights: SAP Predictive Asset Insights provides a 360-degree view of organizational assets and leverages advanced predictive analytics to generate a comprehensive view of assets, including their condition, performance, and maintenance requirements. The 360-degree view allows for real-time asset monitoring and tracking, enabling proactive maintenance and optimized asset utilization. With advanced predictive analytics algorithms, the solution enables forecasting asset failures and finding potential issues before they occur. By harnessing the power of data and analytics, SAP Predictive Asset Insights empowers organizations to make data-driven decisions, reduce downtime, improve operational efficiency, and enhance the overall performance and reliability of their asset portfolio.
  • SAP Mobile Asset Management: SAP Mobile Asset Management streamlines work order management and enhances asset maintenance processes. The solution enables efficient work order creation, assignment, and tracking, empowering field workers and other users to access and update critical asset information in real time through mobile devices. SAP Mobile Asset Management allows organizations to optimize resource allocation, improve response times, and ensure the timely completion of maintenance tasks. The cloud-based deployment provides seamless integration, enabling organizations to harness the benefits of advanced analytics, IoT sensors, and other complementary applications to enhance asset management practices.
  • SAP Asset Strategy and Performance Management: SAP Asset Strategy and Performance Management optimizes asset performance and enhances maintenance strategies by leveraging asset information management and failure modes and effects analysis (FMEA). Asset information management allows to capture, store, and manage critical asset information, including technical specifications, maintenance history, and documentation. This centralized repository enables easy access to asset data, facilitating informed decision-making and streamlined maintenance processes. The failure modes and effects analysis (FMEA) module enable organizations to identify potential failure modes of assets, assess their potential impact, and develop appropriate preventive and corrective maintenance strategies. SAP Asset Strategy and Performance Management empowers organizations to maximize the value of their assets, reduce downtime, and enhance operational efficiency through effective asset information management and failure modes analysis.
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56 results
From Shop Floor Chaos to Smart Factory
Transforming Manufacturing from Shop Floor Chaos to a Smart FactoryAug 12, 2025  —  A Manufacturing Execution System (MES) integrates with the Industrial Internet of Things (IIoT) to create a real-time, intelligent factory environment that enhances planning, execution, and dynamic scheduling, ultimately transforming disconnected operations into a cohesive, self-adaptive system.
3 minute read
From SAPinsider Las Vegas 2025: How Norfolk Southern is Transforming Field Operations with Mobile SAP ApplicationsMar 18, 2025  —  Norfolk Southern is revolutionizing field operations by developing tailored mobile applications that enhance workforce efficiency, support offline functionality, and integrate real-time data, as highlighted by SAP expert Zach Davis at the 2025 SAPinsider conference.
5 minute read
Moving Beyond Legacy Limitations for SAP EAM Systems Predictive Maintenance SAP Plant Maintenance
Why Predictive Maintenance with SAP PM is a Game ChangerAug 20, 2025  —  Predictive Maintenance (PdM) leverages IoT sensors and AI to optimize maintenance strategies, yielding up to 45% downtime reduction and 30% cost savings, making it essential for competitive advantage, especially when integrated with SAP systems.
3 minute read
SAP Intelligent Asset Management (SAP IAM)Mar 21, 2025  —  Enterprise Asset Management (EAM) is essential for asset-intensive organizations to optimize asset health and performance, and SAP's Intelligent Asset Management (SAP IAM) suite provides a comprehensive solution for real-time monitoring, predictive maintenance, and collaborative asset intelligence to enhance decision-making and improve operational excellence across various industries.
3 minute read
SAP in Manufacturing
Connecting the Shop Floor to SAP in ManufacturingJul 14, 2025  —  A gap in data accuracy between corporate-level planning systems like SAP and the shop floor operations can be bridged by modern cloud-based solutions such as CAI Software's ShopVue Cloud, which captures real-time production data to enhance existing ERP systems and improve manufacturing efficiency and visibility.
3 minute read
Elevating Enterprise Asset Management in the Digital Age Part OneSep 20, 2023  —  In addition, attend this webinar to: Learn how to enhance and elevate corporate value through maintenance excellence through orchestrating personnel, processes, data, and technologies. Understand how organizations can purposefully mature in their EAM capabilities and how EAM can work its way onto the agenda of the C-suite. Explore investment strategies for EAM technologies ranging from mobility to IoT and how the enhanced capture of data is used to create increased enterprise value.
1 minute read
Moving Beyond Legacy Limitations for SAP EAM Systems Predictive Maintenance SAP Plant Maintenance
Moving Beyond Legacy Limitations for SAP EAM SystemsApr 16, 2025  —  Manufacturing organizations face challenges in leveraging SAP's EAM and PM systems due to rising costs, stagnant technology, and vendor focus shifting away from SAP. However, Sigga's solutions like a no-code mobile EAM tool and advanced planning software aid companies in optimizing their SAP investments.
3 minute read
Streamlining Maintenance: Saint-Gobain's Mobile EAM Success with Sigga / SAP Digital Manufacturing
Three Steps to Extracting Value from Legacy EAM SystemsJul 22, 2025  —  SAP professionals can unlock new value from their legacy EAM systems by overcoming three critical hurdles—engaging users early in technology rollouts, avoiding one-size-fits-none solutions by customizing based on different plant needs, and ensuring data integrity through standardization.
3 minute read
Streamlining Maintenance: Saint-Gobain's Mobile EAM Success with Sigga / SAP Digital Manufacturing
From SAPinsider Las Vegas 2025: How Owens Corning Used AI-Powered Predictive Maintenance to Move to Reliability as a Service ModelMar 19, 2025  —  At SAPinsider Las Vegas 2025, Jeff Witt from Owens Corning discussed how advanced condition monitoring and predictive maintenance, utilizing SAP Intelligent Asset Management and wireless sensors, have transformed asset management by reducing downtime and costs through real-time data integration and proactive maintenance strategies.
4 minute read
Predicting the Future – Not with a Crystal Ball, but with DataMay 18, 2023  —  Norfolk Southern (NS) locomotives transmit 350+ diagnostic elements about their engines and mechanical parts in real-time to the back-office. Utilizing a multitude of historical and real-time diagnostic data and a history of component failures, NS has created a reliable Artificial Intelligence (AI)-based predictive model that detects mission-critical breakdowns with a high degree of confidence on average a week in advance. Integrated seamlessly with SAP-based Locomotive Health app, the AI operates autonomously and generates a work-order within the SAP EAM suite. This gives visibility to the locomotive shops and crews about the health of the locomotive and gives them enough time to address the issue thus preventing impacts on operations.
1 minute read