Demand Planning with SAP IBP (SAP PRESS)

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