SAP Predictive Asset Insights

Introducing Predictive Maintenance with SAP Predictive Asset Insights

SAP Predictive Asset Insights is a powerful solution to revolutionise asset management by leveraging advanced analytics and machine learning. By analysing vast amounts of data from sensors, maintenance records, and operational performance, this solution provides actionable insights into asset health, enabling proactive maintenance strategies.

Key Benefits:

Predictive Maintenance: Anticipate equipment failures before they occur, minimising downtime and optimising resource allocation.
Enhanced Asset Utilisation: Optimise asset performance and extend their lifespan through data-driven decision-making.
Reduced Maintenance Costs: Minimise unplanned maintenance expenses by scheduling repairs and replacements at optimal times.
Improved Safety and Compliance: Identify potential safety hazards early on and ensure compliance with industry regulations.
Data-Driven Decision Making: Make informed decisions based on real-time asset health and performance insights.

SAP Predictive Asset Insights empowers organisations to achieve greater operational efficiency, reduce costs, and enhance asset reliability. By embracing predictive maintenance, businesses can stay ahead of the curve and ensure a sustainable future.

SAP Predictive Maintenance and Service, on-premise edition, is a robust IoT solution that bridges the gap between operational technology (OT) and information technology (IT) data. Analysing sensor data from equipment and business data provides actionable insights to optimise maintenance, production, after-sales service, and procurement operations.

Key features include:

Data Integration and Management: Centralizes and cleanses data from diverse sources, ensuring data accuracy and consistency.
Advanced Analytics: Utilises data mining and analytics techniques to extract insights from the integrated data.
Business Optimisation: Leverages insights to optimise maintenance strategies, improve production efficiency, enhance after-sales service, and streamline procurement processes.

This solution creates an environment for continuous learning and business improvement, enabling organisations to make data-driven decisions and drive operational excellence.

How it Works:

Data Integration: Connect various data sources, including IoT sensors, maintenance records, and historical data.
Advanced Analytics: Apply machine learning algorithms to identify patterns, anomalies, and potential failures.
Predictive Insights: Generate actionable recommendations for maintenance tasks, spare parts procurement, and risk mitigation.
Visualisation and Reporting: Present insights in a user-friendly dashboard for easy understanding and decision-making.

Risk estimation and evaluation

Estimate and assess risk to select fit-for-purpose reliability methodologies and improve the productivity of your team

Proven reliability methodologies

Perform asset strategy development assessments using failure mode effects analysis, reliability-centred maintenance, and more.
Develop recommendations to mitigate the consequences of failure optimally.