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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!
In this book, you'll learn about:
a. Configuration
Set up SAP IBP for demand to meet your business needs. Customize the data models in SAP IBP, including key settings like the planning area, planning levels, planning operators, key figures, and more.
b. Functionality
Run key processes to plan for demand. Follow step-by-step instructions and screenshots to perform forecasting, event-based planning, demand sensing, lag-based planning, data segmentation and realignment, and Microsoft Excel-based planning.
c. Integration
Integrate your demand planning data. Learn how SAP IBP for demand integrates with key solutions like SAP ERP, SAP S/4HANA, SAP APO, and more. Then explore data integration with other SAP IBP modules.
Highlights include:
1) Data models
2) Statistical forecasting
3) Event-based planning
4) Demand sensing
5) Data segmentation and realignment
6) Microsoft Excel-based planning
7) Configuration
8) Data integration
9) Exception management
10) Identity and access management
11) Application job scheduling
Über den Autor / die Autorin
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.
Zusammenfassung
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!
In this book, you’ll learn about:
a. Configuration
Set up SAP IBP for demand to meet your business needs. Customize the data models in SAP IBP, including key settings like the planning area, planning levels, planning operators, key figures, and more.
b. Functionality
Run key processes to plan for demand. Follow step-by-step instructions and screenshots to perform forecasting, event-based planning, demand sensing, lag-based planning, data segmentation and realignment, and Microsoft Excel-based planning.
c. Integration
Integrate your demand planning data. Learn how SAP IBP for demand integrates with key solutions like SAP ERP, SAP S/4HANA, SAP APO, and more. Then explore data integration with other SAP IBP modules.
Highlights include:
1) Data models
2) Statistical forecasting
3) Event-based planning
4) Demand sensing
5) Data segmentation and realignment
6) Microsoft Excel-based planning
7) Configuration
8) Data integration
9) Exception management
10) Identity and access management
11) Application job scheduling
