Prescriptive Analytics Project Ideation is about the art of transforming data into actionable optimal strategies. This course begins with an overview of prescriptive analytics, exploring key methods like optimization and simulations. You'll then delve into real-world applications across various industries, with applications in investing and staffing optimization. The course also includes a comprehensive sprint phase for problem identification and solutions mapping, culminating in a final project plan review and insights from industry experts.
Learning objectives:
- Examine how prescriptive analytics methods are used by businesses to make optimal decisions.
- Formulate optimization models to solve portfolio investment and staffing decisions
- Analyze business needs and define a prescriptive analytics project plan
View SyllabusSkills You'll Learn
Needs Assessment, Advanced Analytics, Process Optimization, Business Analysis, Business Planning, Simulations, Analytics, Process Mapping, Simulation and Simulation Software, Operational Analysis, Capacity Planning, Solution Design, Sprint Planning, Operations Research, Investment Management, Production Planning, Portfolio Management, Project Scoping, Project Planning, Complex Problem Solving
From the lesson
Module 4: Prescriptive Analytics Sprint Phase 2: Solutions Mapping
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.
Taught By
Soumya Sen
Associate Professor