In the previous episode of this series, Joining Forces: SAP and Google Cloud in Action, we explored how SAP Datasphere and Google BigQuery can be combined to analyze e-commerce user behavior and enhance commercial performance through the integration of sales data and web analytics.
In this episode, we delve into an equally critical area for manufacturing companies: predictive maintenance. We demonstrate how the combined power of SAP and Google Cloud technologies makes it possible to anticipate equipment failures and optimize the supply chain by leveraging artificial intelligence and big data on a hybrid architecture.
From the real-time collection of sensor data to its integration with transactional systems (such as SAP S/4HANA and SAP Digital Manufacturing), all the way to the application of predictive algorithms on Google BigQuery, the core of the solution remains SAP Datasphere. It acts as a federated bridge between operational data and intelligent algorithms. The outcome? Full visibility into plant performance and the ability to act before a critical component fails—avoiding costly production downtime.
In the video, I walk through the reference architecture and present advanced dashboards built with SAP Analytics Cloud, capable of correlating IoT alerts, production quality, and customer returns. A concrete use case that highlights how the synergy between SAP and Google Cloud not only simplifies data management but also enables real scenarios of intelligent transformation.
Would you like to explore this topic further?
Join our webinar on May 14 at 11:00 AM: Predictive Maintenance – Optimizing the Maintenance of Enterprise Assets. Discover how leveraging data and advanced analytics enhances asset management through predictive analysis and seamless integration with SAP S/4HANA.
During the session, we will explore the evolution of maintenance strategies—from corrective and preventive models to predictive approaches—highlighting the benefits of advanced data analytics.
(Italian language webinar)
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