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Christian Bayer is the Global Head of ERP/SAP and Data and Analytics with Syngenta. In this role, he coordinates all ERP-related IT services, develops the IT roadmap for ERP, builds and scale data analytics platforms and manages key supplier relationships. Christian’s work ranges from Business Services implementation to large scale business transformation to S/4 Hana and SAP Agile development. He has focused on IT services throughout his 29-year career and has worked with commercial organisations in Europe, Africa, the Middle East and around the world. He worked on SAP and data and analytics for more than 20 years, helping optimise business functions and streamline process automation. Christian holds an MBA in Economics from FH Offenburg in Germany and a degree in Digital Business Strategies from MIT Massachusetts Institute of Technology.
At Syngenta, we have increased our offerings of non-core ERP processes in SaaS cloud solutions, such as Workday for human resources, Ariba for procurement, and GT Nexus for 4PL. This enables our on-premises systems to be more focused on core production and supply (P&S) systems and FI systems. It also reduces the complexity of our internal system architecture while increasing our need for good integration and master data management. More benefits include a reduced need for IT and infrastructure support for our applications, and a move away from traditional perpetual licensing toward straight consumption cost structures. We are also leveraging our core on-premises offerings of AWS cloud computing and Azure, impacting more costefficient and scalable ERP landscapes. This includes our public cloud IaaS offering that provides scalability and elasticity of compute, cost efficiency and agility in system provisioning. It also increases our network bandwidth by decreasing network costs that enables a move into public cloud hosting scenarios. We are also implementing cloudbased data lake technology, which decreases our dependency on proprietary data-warehousing technology that is costly and inflexible, ultimately increasing cross-functional data access and scalable compute power for advanced analytics and data science. We see us moving away from proprietary and expensive DWs to cloud-based DWs. As such, functional data silos will be broken down, which opens up new possibilities for analytics and digital solutions.A simpler FI data model in S/4 and the improved speed of the HANA database offers significant improvements for finance functions
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