This course will introduce decision modeling as a technique for framing advanced analytic projects. Success with advanced analytics requires a clear and robust definition of the decision-making that will be improved with those analytics. Existing requirements approaches fail to capture critical elements of decision-making resulting in advanced analytic projects that fail to deliver business value or that are difficult and expensive to deploy. Decision modeling will be introduced as a technique for describing decision making problems. Industry standard approaches will be used to break down complex problems so that they can be specifically addressed with advanced analytics. These models provide a framework for building a business case, building and deploying advanced analytics, and measuring results over time.
This course will allow business professionals to develop decision models and frame their advanced analytics projects more effectively.
Learning Objectives
- Discover how to construct decision models that show decision-making, data and knowledge.
- Recognize how to use industry standard notation to describe decision models.
- Identify the priorities of advanced analytics based on their role in decision-making.
- Discover how to specify and monitor the business value of advanced analytic projects.
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Prerequisites
Prerequisite: Previous experience in finance
Advanced Preparation: None