Demand Planning with SAP IBP
- 8h 7m
- Venkadesh Seetharaman
- Rheinwerk Publishing Inc.
- 2022
To improve profitability, you need to plan ahead. With this comprehensive guide to SAP IBP for demand, you’ll learn how to predict demand for your products. Follow step-by-step instructions to configure your data models for demand planning and demand sensing. Then see how to use core functionality like statistical forecasting, event-based planning, and data segmentation. Details on analytics, data integration, and more make this your one-stop shop for demand planning!
- Deploy and run SAP Integrated Business Planning for demand with step-by-step instructions
- Use statistical forecasting and demand sensing to improve your planning and execution processes
- Manage exceptions with SAP IBP analytics and dashboards
About the Author
Venkadesh Seetharaman is a highly motivated digital supply chain expert currently working at Bolders Consulting Group as a digital supply chain architect. He has more than 20 years of diverse experience in supply chain consulting that includes process and technology consulting. He has worked on large-scale SAP IBP, SAP S/4HANA, and other supply chain transformation projects for global customers, resolving complex supply chain problems through process correction, technology implementation, and continuous improvements in various industries, including life sciences, high-tech, automotive, utilities, communication, and fast-moving consumer goods. Venkadesh believes that cultivating structured supply chain education helps in solving most critical supply chain problems, which motivates him to be an avid blogger and content developer across SAP Community.
Venkadesh is also certified by SAP SE in several areas: SAP IBP, SAP Cloud Integration for data services, SAP Advanced Planning and Optimization (SAP APO), and materials management. Apart from work, Venkadesh is also an avid marathoner and cycler, and he loves to spend time with his family and kids.
In this Book
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Notes on Usage
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Introduction to Demand Planning
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Configuring the Demand Planning Data Model
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Configuring the Demand Sensing Data Model
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Statistical Forecasting
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Event-Based Planning
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Operational Demand Planning
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Data Segmentation and Realignment
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Microsoft Excel-Based Planning
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Exception Management with Analytics and Dashboards
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Data Integration
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Identity and Access Management
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Application Job Scheduling
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Service Pages
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Legal Notes
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The Document Archive
