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This module introduces prescriptive analytics, covering key methods like optimization and simulations, and the essential features of optimization problems. It also explores practical applications of prescriptive analytics across various industries, including manufacturing, supply chain, marketing, finance, transportation, and logistics.

This module delves into optimization and simulations, starting with investment optimization through SCQ analysis and solution overview. It then covers staffing level optimization, including problem analysis and solutions. The module concludes with an introduction to discrete event simulations.

This module focuses on high-level needs identification, starting with understanding process maps, identifying business needs, and prioritizing them using PICK charts. It then moves to SCQ analysis for airline operations, introducing the situation, challenges, and key questions. Finally, it addresses breaking down problems into subproblems, identifying common themes, and constructing an issue tree.

This module begins with results mapping, focusing on aligning methods with key questions. It then moves to outcome sketches, where goals and constraints are identified. The module concludes with a final project plan review and insights from an industry expert on optimization in the airline industry.