Case Study

Using Machine Learning and Predictive Analytics to Reduce Unexpected Downtime with SAP®Business Technology Platform

Using Machine Learning and Predictive Analytics to Reduce Unexpected Downtime with SAP®Business Technology Platform

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Before: Challenges and Opportunities • Avoid unexpected and costly shutdowns of critical refinery equipment • Enhance standard preventative maintenance processes with data-driven predictive maintenance • Lower maintenance costs by addressing potential problems before they occur so equipment and components can be fixed rather than replaced Why SAP and Accenture plc • Collaborative approach that included a data value workshop and a proof of concept to understand the potential use cases and business value enabled by SAP ® Business Technology Platform (SAP BTP) • Successful pilot for an end-to-end process – from building predictive models for abnormal events based on sensor data to providing results through user-friendly dashboards and e-mail notifications – using SAP HANA ® Cloud, SAP Ext

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