Global Certificate in Data-Infused Demand Planning Insights

• Data-Driven Demand Planning: Understanding the fundamentals of data-infused demand planning, including data collection, analysis, and forecasting techniques.
• Data Integration and Management: Strategies for integrating and managing internal and external data sources to support demand planning.
• Statistical Forecasting: Techniques for developing statistical models to forecast demand, including time series analysis and regression analysis.
• Machine Learning for Demand Planning: Exploring the use of machine learning algorithms to improve demand forecasting accuracy.
• Demand Planning Software and Tools: Overview of demand planning software and tools, including their features, benefits, and limitations.
• Collaborative Demand Planning: Best practices for collaborating with sales, marketing, and operations teams to develop accurate demand plans.
• Monitoring and Evaluating Demand Planning Performance: Techniques for monitoring and evaluating demand planning performance, including key performance indicators (KPIs) and scorecard metrics.
• Scenario Planning and Sensitivity Analysis: Methods for conducting scenario planning and sensitivity analysis to support demand planning decisions.
• Change Management in Demand Planning: Strategies for managing change in demand planning processes, including communication, training, and implementation.