Live SAC demo: AI and planning for controlling in SAP
Advanced and AI-supported planning with SAP Analytics Cloud
The rapid availability of reliable forecasts and target figures is more important than ever in dynamic times. However, these figures are often generated in manual, silo-like processes. This not only costs valuable time, but is also very error-prone.
The use of artificial intelligence (AI) and modern methods for advanced planningand analysis(xP&A) promise to help in this context.
Our planning experts will therefore be taking a closer look at these approaches in a webinar together with Prof. Dr. Andreas Seufert . On April 8 at 10 a.m., they will test the current possibilities, advantages and limitations in conjunction with SAP Analytics Cloud (SAC).
The focus of the webinar:
- AI as a supplement to planning: Which approaches are useful (machine learning vs. GenAI) and where are the limits of AI in planning?
- Planning challenges: Why an integrated approach makes sense and how, for example, detailed sales and material planning can be integrated into the P&L in the system.
- Live demo in the system: How AI optimizes your forecasts in SAC, how a planning system can shorten cycles and support decision-making processes.
- SAP Analytics Cloud software: How the planning and analysis platform supports an xP&A strategy (S&OP + financial planning).
To summarize, you will learn how you can use the potential of AI and xP&A in your planning processes in SAC to make more accurate forecasts, react faster to changes and make data-driven decisions. Sounds interesting? Then join us:
Speaker
Dennis Stahl is responsible for the CFO Services business unit and has been helping clients to modernize FP&A processes with innovative planning and analysis solutions for more than 7 years. In his projects, he supports companies ranging from upper mid-sized companies to DAX-listed corporations from a wide range of industries. He has extensive international consulting experience in the management, design and implementation of advanced customer solutions.
Ian Shulman is a Data Scientist at celver with a particular focus on text generation using Large Language Models. He focuses on simplifying complex and cumbersome processes through machine learning approaches and using data science methods to extract new insights from the data.
Prof. Dr. Andreas Seufert teaches at the Ludwigshafen University of Applied Sciences and is Director of the Business Innovation Lab there. He is also Director of the Institute for Business Intelligence at Steinbeis University Berlin. He is head of the BI/ Big Data and Controlling expert group of the International Controller Association (ICV) as well as XING | Ambassador Controlling.
