Introduces students to the data analytical approaches used by business organizations to manage their exposure to risk. Addresses three major data analytical pillars of risk management; 1. financial analyses, which offer an overview of actuarial analysis used by the insurance marketplace and the value-at-risk (VaR) methodology used by banks and other financial intermediaries; 2. catastrophe modeling, commonly used in business continuity planning to prepare for major emergencies; and 3. causal analyses, used by a wide spectrum of business entities to risk-adjust their decisions. Students will learn not just how the traditional and emerging data analytical / information producing tools support the goal of minimizing the cost of risk, but also the students will learn how those informational assets can be used to enhance the organization's competitiveness.