Move from reactive to predictive maintenance and service – with the Internet of Things
Reduce maintenance cost, increase asset availability, improve customer satisfaction, generate new service revenue and change to a usage-based business model with the Internet of Things (IoT) and SAP Predictive Maintenance and Service. Powered by SAP HANA in-memory technology, the solution analyzes large volumes of sensor data (such as temperature, vibration, or rotation speed) and issues an alert long before a machine breaks down. Combine sensor data with business information in your CRM, ERP, and enterprise asset management (EAM) systems – and move from reactive to predictive maintenance and service.
Because the IoT solution uses real-time machine data and sophisticated analytics to determine equipment health – so you can predict and prevent failures. Asset manufacturers can dramatically improve customer service, and operators can maximize equipment uptime.
Avoid costly disruptions by predicting equipment malfunctions before they happen
Use insights from sensor data to improve product quality, reliability, and customer satisfaction
Optimize resource management by sending technicians with the right parts at the right time
Prevent unplanned downtime, and schedule maintenance at a time that is least disruptive to operations
Prototype and launch new IoT initiatives in 3 months or less – with the SAP Leonardo jump-start program
Learn more about how our predictive maintenance tools use the Internet of Things (IoT), the Industrial Internet of Things (IIoT), and machine-to-machine (M2M) technology to transform field service and asset management.
Asset health management and decision support Use health scores, anomaly detection, spectral analysis, and machine learning to optimize asset maintenance and servicing. Initiate preventive counter measures to enable a closed-loop maintenance and service process.
Extensible and high-performing platform
Process huge volumes of information technology (IT) and operational technology (OT) data using sophisticated machine learning algorithms.
Operational analytics Leverage sophisticated predictive modeling and analysis tools – including statistical modeling, data discovery, asset scoring, visualization, and more.
Integrate with remote business systems – including CRM, EAM, ERP, and non-SAP service software – to speed insight-to-action.
In-memory technology Harness state-of-the-art in-memory computing technology built on the SAP HANA platform.
IoT and IIoT connectivity Take advantage of device management, monitoring, connectivity, and IoT data transfer services. Optimize data management with scalable and cost-effective storage for time series data.
Visualization Visualize real-time data according to business needs – and expose valuable insights – with a unified and intuitive user experience.
Integration with SAP solutions Natively integrate with SAP enterprise solutions (such as SAP S/4HANA) as well as third-party maintenance execution systems.
Deployment Options SAP Predictive Maintenance and Service has two deployment options, the on-premise edition and the cloud edition.
SAP Predictive Maintenance and Service, cloud edition, runs on the SAP HANA Cloud Platform. The solution uses services like SAP Cloud Identity Access Governance and SAP HANA Cloud Integration – and can be extended if needed.
Deploy SAP Predictive Maintenance
and Service on-premise or in the cloud
SAP Predictive Maintenance and Service, cloud edition The cloud edition offers a subscription-based pricing model based on the number of devices connected to the platform, as well as the number of measurements – which represents the volume of data stored in SAP. Vibration analysis is offered as an add-on, and is priced separately.
SAP Predictive Maintenance and Service, on-premise edition The on-premise edition offers a perpetual license model based on the number of measuring or sensor points that are configured in the system. A base package is available for smaller scale implementations. This edition leverages SAP HANA as a hot storage for fast queries and predictive calculations, as well as SAP Sybase IQ for storage of IoT Big Data.
Trenitalia is Italy’s leading rail transport operator, carrying two million passengers every day. See how the company is using our predictive maintenance solution to analyze data from thousands of onboard sensors in real time – and offer better service.
Find out how Kaeser Kompressoren uses the Internet of Things (IoT) and our predictive maintenance software to monitor its compressed air stations in real time. The company is able to avoid unplanned downtime and provide world-class service, 24/7.
Get the support you need to keep SAP Predictive Maintenance and Service running at peak performance. Our experts can help you maximize the value of your software, take advantage of new business models and capabilities, and more.
Trenitalia’s deployment of dynamic maintenance management using SAP for the IoT demonstrates how real-time insights from sensors add predictive capabilities to traditional, planned and reactive models.