Pavol Masarovic

Critical business data remains locked inside SAP ERP and BW systems, limiting real-time insights and AI-driven automation. In this hands-on workshop, learn how to break down data silos using a modern, cost-effective architecture without expensive ETL pipelines.

Many SAP customers seek to modernize their existing analytics and reporting capabilities to adapt to changing business requirements. In this workshop, explore how extracting SAP order-to-cash data into a data lake and using AI/ML services can help organizations gain valuable insights while reducing manual effort.

By combining SAP data and non-SAP data in AWS data lakes, organizations are using AWS analytics, artificial intelligence, and machine learning services to drive new insights that support their business transformations. In this workshop, create bidirectional data flows between SAP applications and AWS services.

In this workshop, learn how to solve common business problems using native AWS services in conjunction with SAP applications. First, create an SAP data lake by setting up bidirectional data flows between your SAP applications and AWS services.

Marc O’Polo has the ambitious goals to be the most innovative fashion retailer in Germany and to shift to a direct-to-consumer model. To support these changes, Marc O’Polo decided to move from three legacy ERP systems to a unified to SAP S/4HANA implementation on AWS.

In this workshop, learn how to solve common business problems using native AWS services in conjunction with SAP applications. First in the workshop, build a data extraction layer from SAP.