In this advanced course, you will gain a solid understanding of the SAP IBP for demand business processes including demand sensing with Machine Learning algorithm and their associated configuration, supplemented with hands-on exercises. DO NOT attempt to take this course without first completing the recommended courses for SAP IBP for Supply Chain Overview (IBP1010, IBP1020, IBP2200, IBP2400, IBP2500, IBP2600, IBP2700 & IBP2800) , to ensure you have attained the foundational knowledge to maximize your learning goals.
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Overview
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Syllabus
- 샘플 수요 계획 영역의 데이터 모델
- Describing Model Components - Master Data Types and Key Figures
- 샘플 수요 계획 영역의 데이터 모델
- 데이터 준비
- Cleaning Data Automatically
- Cleaning Data Manually
- 데이터 준비
- 예측
- Using Forecast Profiles
- Determining the Best Forecast Model
- Assigning Forecast Models
- Using Composite Forecasting
- Incorporating Market Input
- 예측
- 수명 주기 계획
- Planning Product Lifecycles
- Using Phase-In and Phase-Out Profiles
- Realigning Data
- Manual Forecasting
- 수명 주기 계획
- 판촉 계획
- Planning Promotions
- Creating Promotions
- Managing Past Promotions
- 판촉 계획
- 수요 계획 릴리스
- Using Financial Key Figures and Pricing
- Releasing a Demand Plan
- Measuring Forecast Performance
- Using Analytics and Dashboards
- Using Snapshots
- 수요 계획 릴리스
- 예측 정확도
- Using ABC and XYZ Segmentation
- Using Time Series Analysis
- Setting up Alerts for Forecast Accuracy
- 예측 정확도
- 수요 감지
- 수요 감지 소개
- Describing the Model Component Demand Sensing
- Managing Demand Sensing
- Approving the Demand Sensing Result
- 수요 감지