Demand Planning with SAP IBP (SAP PRESS)

✍ Scribed by Venkadesh Seetharaman

• Publisher: SAP Press
• Year: 2022
• Tongue: English
• Leaves: 1362
• Edition: 1
• Category: Library

✦ Synopsis

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

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.

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.

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.

• Data models
• Statistical forecasting
• Event-based planning
• Demand sensing
• Data segmentation and realignment
• Microsoft Excel-based planning
• Configuration
• Data integration
• Exception management
• Identity and access management
• Application job scheduling

✦ Table of Contents

Dear Reader
Notes on Usage
Table of Contents
Preface
How This Book Is Organized
Acknowledgments
Conclusion
1   Introduction to Demand Planning
1.1   What Is Demand Planning?
1.1.1   Importance of Demand Planning in the Supply Chain
1.1.2   Key Elements and Steps of Demand Planning
1.1.3   Future of Demand Planning
1.2   Demand Planning with SAP
1.2.1   SAP IBP Solution Portfolio
1.2.2   SAP IBP for Demand
1.2.3   Demand Sensing
1.3   Summary
2   Configuring the Demand Planning Data Model
2.1   Architecture
2.2   Attribute and Master Data Type
2.2.1   Attributes
2.2.2   Master Data Types
2.3   Time Profile and Planning Area
2.3.1   Time Profile
2.3.2   Planning Area
2.3.3   Manage the Planning Area
2.4   Planning Level and Attribute as Key Figure
2.4.1   Planning Level
2.4.2   Attribute as a Key Figure
2.5   Key Figures
2.5.1   Key Figure Types
2.5.2   Manage Key Figures
2.5.3   Key Figure Calculations
2.5.4   Calculation Chain
2.5.5   Calculation Function and Expressions
2.6   Version Management
2.7   Planning Operators
2.7.1   Planning Operator Types
2.7.2   Advanced Copy Operator
2.7.3   Snapshot Operator
2.8   Global Configuration
2.9   Summary
3   Configuring the Demand Sensing Data Model
3.1   Planning Area
3.1.1   Time Profile Levels
3.1.2   Master Data Types
3.1.3   Planning Levels
3.1.4   Key Figures
3.1.5   Planning Operators
3.1.6   Calendars
3.2   Lag-Based Snapshots
3.3   Global Configuration
3.4   Summary
4   Statistical Forecasting
4.1   Introduction to Statistical Forecasting
4.2   Statistical Forecasting Model Configuration
4.3   Preprocessing and Data Cleansing
4.3.1   Outlier Correction
4.3.2   Substitute Missing Values
4.4   Constant Models
4.4.1   Simple Average
4.4.2   Simple Moving Average
4.4.3   Weighted Average
4.4.4   Weighted Moving Average
4.4.5   Single Exponential Smoothing
4.4.6   Adaptive Response Rate Single Exponential Smoothing
4.4.7   Copy Past Periods
4.5   Trend Models
4.5.1   Brown's Linear Exponential Smoothing
4.5.2   Double Exponential Smoothing
4.5.3   Auto-ARIMA/ARIMAX
4.6   Seasonal Models
4.6.1   Triple Exponential Smoothing
4.6.2   Auto-SARIMA/SARIMAX
4.6.3   Seasonal Linear Regression
4.7   Regression and Sporadic Models
4.7.1   Multilinear Regression
4.7.2   Croston Method
4.7.3   Croston TSB Method
4.8   Classification/Advanced Models
4.8.1   Gradient Boosting of Decision Trees
4.8.2   Automated Exponential Smoothing
4.9   Postprocessing Models
4.9.1   Forecast Error Measures
4.9.2   Forecast Accuracy Calculation
4.9.3   Manage Forecast Error Calculations (Demand Planning)
4.10   Advanced Forecast Automation
4.11   Summary
5   Event-Based Planning
5.1   Product Lifecycle Planning
5.1.1   Lifecycle Planning Process
5.1.2   Configure Product Lifecycle Planning
5.1.3   Aggregated Lifecycle Planning
5.2   Manual Forecasting
5.3   External Forecasting
5.3.1   External Forecasting Process
5.3.2   Configure External Forecasting
5.4   Driver-Based Planning
5.4.1   Driver-Based Planning Process
5.4.2   Configure Driver-Based Planning
5.5   Promotional Planning
5.5.1   Promotional Planning Process
5.5.2   Configure Promotional Planning
5.6   Financial Planning
5.7   Summary
6   Operational Demand Planning
6.1   Demand Sensing
6.1.1   Introduction to Demand Sensing
6.1.2   Configure Demand Sensing Forecast Models
6.1.3   Forecasting Models
6.2   Lag-Based Planning
6.3   Summary
7   Data Segmentation and Realignment
7.1   Data Segmentation
7.2   ABC/XYZ Segmentation Rules
7.2.1   General Settings
7.2.2   Settings for Both Segmentations
7.2.3   ABC Segmentation
7.2.4   XYZ Segmentation
7.3   ABC/XYZ Simulation
7.3.1   ABC Segmentation Simulation
7.3.2   XYZ Segmentation Simulation
7.4   Data Realignment
7.4.1   Realignment Concepts
7.4.2   Master Data Realignment
7.4.3   Key Figure Data Realignment
7.4.4   Set Up the Realignment Project
7.4.5   Upload Realignment Project
7.5   Summary
8   Microsoft Excel-Based Planning
8.1   SAP IBP, Add-In for Microsoft Excel Ribbon
8.1.1   Build Planning View Templates
8.1.2   Templates and Favorites
8.1.3   Manage Master Data
8.2   Planning View Formatting
8.2.1   EPM Formatting
8.2.2   Local Member Formatting
8.2.3   VBA Hooks
8.3   Simulation Planning
8.3.1   Planning View with Simulation
8.3.2   Planning View with Scenarios
8.3.3   Planning View with Version
8.4   Planner Collaboration
8.4.1   Planning Notes
8.4.2   Change History
8.4.3   Key Figure Fixing
8.4.4   User Settings and Help
8.4.5   Collaboration
8.5   Summary
9   Exception Management with Analytics and Dashboards
9.1   Advanced Analytics and Dashboards
9.1.1   Advanced Analytics
9.1.2   Advanced Dashboards
9.2   Custom Alerts
9.2.1   Define and Subscribe to Custom Alerts
9.2.2   Machine Learning in Alert Rules
9.2.3   Custom Alert Overview
9.2.4   Monitor Custom Alerts
9.3   Case Management
9.4   Intelligent Visibility
9.5   Navigate to Other SAP Systems
9.5.1   Static Navigation
9.5.2   Dynamic Navigation
9.6   Summary
10   Data Integration
10.1   Data Integration Using the Web UI
10.1.1   Manual Data Upload
10.1.2   Mass Data Upload
10.2   Data Integration Using SAP Cloud Integration for Data Services
10.2.1   Data Transfer Process
10.2.2   Cloud Data Integration Architecture
10.2.3   SAP Standard Interfaces for Demand Planning
10.2.4   Data Integration with SAP ERP and SAP S/4HANA
10.2.5   Data Integration with Other SAP Systems and Files
10.2.6   Data Integration Using API Services and Databases
10.2.7   Process Chain with SAP Cloud Integration for Data Services
10.2.8   SAP Cloud Integration for Data Services Administration
10.3   Data Integration with Other SAP IBP Modules
10.3.1   Integration with SAP IBP for Sales and Operations
10.3.2   Integration with SAP IBP for Inventory
10.3.3   Integration with SAP IBP for Response and Supply
10.3.4   Integration with SAP Supply Chain Control Tower
10.4   Summary
11   Identity and Access Management
11.1   Identity Authentication
11.2   Identity and Access Management Configuration
11.2.1   Business User
11.2.2   Maintain Business Roles
11.2.3   Restrictions
11.3   Permission Filters
11.3.1   Attribute Permission for Master Data
11.3.2   Manage Editability Horizon for Key Figures
11.4   Planning Filters
11.4.1   Planning Filters App
11.4.2   SAP IBP, Add-In for Microsoft Excel
11.5   Identity and Access Management Information System
11.6   Summary
12   Application Job Scheduling
12.1   Templates
12.1.1   Create Application Job Template
12.1.2   Use Application Job Template
12.2   Application Jobs
12.2.1   Application Jobs App
12.2.2   Manage Application Jobs from SAP IBP, Add-In for Microsoft Excel
12.2.3   Manage Application Jobs with Process Management
12.2.4   External Application Job Scheduling
12.2.5   Application Jobs with Machine Learning
12.2.6   Application Jobs KPIs
12.3   Application Logs
12.4   Data Lifecycle Management
12.5   Summary
A   The Author
Index
Service Pages
Legal Notes