Can you predict when the shock absorber of your aircraft will fail next?
In the aerospace and defense (A&D) industry, safety and high operational availability are top priorities. Gaining insight into equipment performance is therefore critical. Yet, many A&D organizations are not able to turn the huge amounts of data they collect during maintenance processes (whether machine data from sensors or logistic information from ERP systems) into insights that can help maximize equipment uptime. An SAP survey reveals, 53% of organizations report a big gap between the availability of Big Data and their ability to analyze it for insights.
To meet this challenge, forward-thinking organizations are increasingly relying on innovative technologies such as predictive analytics to turn the collected maintenance-relevant data into actionable information. Prediction scenarios can, for example, help them foresee equipment failures that could potentially lead to catastrophic losses or unplanned downtime. This allows organizations to solve problems even before they happen by exposing hidden risks and hazards. Organizations can additionally run optimization scenarios to develop a maintenance strategy that is supportive of continuous improvement. This helps them to stay agile and gain a competitive edge thanks to efficient planning.
SAP Predictive Analysis combines predictive functions with the in-memory technology of SAP HANA, enabling A&D organizations to mine and analyze their maintenance data easily and quickly. This allows them to better anticipate potential equipment failures, and drive smarter, more strategic decision making when planning their maintenance operations. With the SAP solution, they gain real-time insight and visibility into operations, allowing them to operate in preventive and predictive mode.