AI may be the buzzword of the moment, but intelligent, self-learning automation has long been part of the SAP landscape.
Join our webinar as we shine a light on a powerful—but often overlooked—feature within SAP IBP that leverages machine learning to help you improve master data quality.
Master data issues are the hidden pain point for many planners. Learn how SAP IBP’s built-in machine learning can help detect and correct errors automatically, saving time and reducing frustration.
We’ll also explore the exciting roadmap ahead for SAP IBP and its evolving ML capabilities designed to make planning smarter, faster, and more resilient.
Key takeaways.
- Discover the AI-powered roadmap shaping the future of SAP IBP.
- Understand why clean master data is critical to successful planning.
- Learn how to leverage built-in AI to automatically detect and fix master data issues that disrupt your planning process.
Agenda.
- Brief introduction to AI and the exciting roadmap for SAP IBP.
- Discussion of the importance of clean master data in planning.
- Step-by-step walkthrough of SAP IBP’s built-in machine learning features for detecting and correcting master data issues.
Speaker.
Dr. Russell
Sadd
Sadd
Russell is a partner at Westernacher Consulting and a highly experienced solution architect for SAP-based planning, forecasting and analytics solutions with almost two and a half decades of major project implementations behind him. He considers himself a planning generalist covering supply chain, financial, retail and personnel planning solutions.
Planning Practice Director UKI,
Westernacher Consulting
Westernacher Consulting
