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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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Tennant modernizes its ERP platform to help drive efficiency and growthNov 6, 2025  —  Streamlining processes and improving data quality and access with a single instance of S/4HANA
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The AI Blueprint for 2026: Practical Steps for Future-Ready OperationsDec 9, 2025  —  As 2026 approaches, business leaders are under pressure to streamline operations and control costs while driving improvement. AI can help but knowing the difference between horizontal and vertical AI is key. Horizontal AI gives broad, generic suggestions that often miss the mark for real operational challenges. Vertical AI, however, is built into your core systems and works directly with your processes and data. This allows you to not only gain insights, but to act on them in ways that match how your business truly operates. In this SAPinsider session, wel discuss how adopting vertical AI prepares your operations for the future, an approach that helps teams work smarter, minimize downtime, and stay ahead of change. We’ll focus on implementing AI without building everything from the ground up, the time to ROI, and how AI can support compliance and audit readiness. Watch this webinar to: - Learn how AI-driven strategies enhance key elements of operations, from maintenance to compliance. - Identify sources of inefficiency or risk that AI can help address within current workflows. - Find actionable steps to introduce AI technologies without disrupting existing teams or processes. - See how to foster a data-driven culture that supports continuous operational improvement.
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SAP Digital Manufacturing and DM4Mill by delaware CAI and COPQ
Key Strategies to Reduce the Cost of Poor Quality In ManufacturingOct 15, 2025  —  Manufacturers are focusing on reducing the Cost of Poor Quality (COPQ) through the integration of Manufacturing Execution Systems (MES) with SAP ERP systems to gain real-time insights into operational deficiencies, shifting from reactive to proactive quality management and ultimately enhancing efficiency and profitability.
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The Intelligent PM Program: Optimizing Preventive Maintenance With AI in SAPNov 20, 2025  —  Organizations are under pressure to keep assets running reliably while controlling maintenance costs. Traditional PM programs are often inefficient, heavily manual, and dependent on tenured staff for adjustments. This creates risk as employees retire, and it limits scalability. By applying AI to analyze asset performance, historical data, and work order history, organizations can fine-tune PM intervals, eliminate unnecessary work, and reduce errors from manual processes. With optimized PM schedules and fewer administrative burdens, maintenance professionals can focus on higher-value work such as troubleshooting, reliability improvements, and process innovation. In this session, we’ll show how AI-enabled optimization within SAP helps maintenance teams get more from their PM programs. Watch this session to: - Learn how AI-driven optimization enhances preventative maintenance programs in SAP. - Identify common inefficiencies in traditional PM schedules and processes. - See practical steps for introducing AI into PM programs while preserving technician expertise. - Discover strategies to ensure maintenance teams remain central to AI-enabled PM processes.
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Autonomous Plant maintenance
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SAP Digital Manufacturing and DM4Mill by delaware CAI and COPQ
A Practical Guide to Low-Code Apps for SAP ManufacturingSep 16, 2025  —  Despite the strategic importance of SAP systems in manufacturing, many organizations face integration complexities and poor ROI from digital investments, leading them back to paper processes; adopting SAP-native, low-code platforms like Neptune DXP can simplify app development, enhance user adoption, and accelerate digitization while protecting the SAP core.
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Reduced Maintenance Repair Time with Mobile EAM
How AmBev Reduced Maintenance Repair Time by 80% with Mobile EAMJun 17, 2025  —  AmBev, facing significant operational inefficiencies in its maintenance processes due to reliance on paper workflows and delayed data entry, successfully implemented Sigga's Mobile EAM solution to integrate with SAP PM, resulting in an 80% reduction in mean time to repair, improved asset reliability, and enhanced technician productivity.
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OpenText Digital Asset ManagementJun 16, 2025  —  OpenText™ Digital Asset Management (DAM) is a scalable solution that utilizes AI to efficiently manage rich media content across various sectors, making it the preferred choice for enterprises in media management.
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DM4Mill
From Firefighting to Future-Focused: How Sigga Modernized Maintenance for IngredionMay 15, 2025  —  Ingredion transformed its reactive maintenance culture into a proactive one by implementing mobile EAM solutions and advanced planning tools from Sigga, significantly improving data capture and scheduling efficiency while driving cultural change across its operations.
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