Empathy and Data in Risk Management
Learn to balance empathy-driven and data-driven approaches in enterprise risk management, focusing on identification, assessment, and communication.
Learn to balance empathy-driven and data-driven approaches in enterprise risk management, focusing on identification, assessment, and communication.
Develop skills in empathy-driven and data-driven risk management analysis. This course covers the process of managing enterprise risk, emphasizing the importance of understanding both data and stakeholders. Learn about the three lines of defense, tools for risk identification and assessment, risk responses, key risk indicators, and risk reporting. Practice using risk statements, bowtie analysis, matrices, heat maps, and data visualization in Tableau to apply risk management concepts effectively.
Instructors:
English
Tiếng Việt
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What you'll learn
Explain and apply the foundational concepts of enterprise risk management
Use multiple techniques to identify risks, evaluate their relevance, assess severity, choose risk measures, and develop appropriate risk responses
Understand how to prioritize risks within organizations
Communicate risk information using matrices, risk statements, and data visualization tools
Apply empathy-driven analysis to understand stakeholder perspectives in risk management
Use data visualization in Tableau for risk analysis and reporting
Skills you'll gain
This course includes:
83 Minutes PreRecorded video
17 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course provides a comprehensive introduction to enterprise risk management, emphasizing the integration of empathy-driven and data-driven approaches. Students learn foundational concepts of risk management and practical tools for identifying, assessing, and responding to risks. The curriculum covers key topics such as risk appetite, assessment scorecards, key risk indicators, bowtie analysis, and risk communication techniques. Special focus is given to cybersecurity risks and the role of algorithms in risk management. Through hands-on exercises and data visualization practice using Tableau, students develop skills in risk analysis, measurement, and reporting. The course also explores the psychological aspects of risk management and the importance of effective communication in managing organizational risks.
Course Orientation
Module 1 · 2 Hours to complete
There's Risk, Now What Should We Do about It?
Module 2 · 3 Hours to complete
How Bad Could It Be? Issues in Measuring Risk
Module 3 · 4 Hours to complete
Communicating Risk
Module 4 · 3 Hours to complete
Risk Management in a Changing World
Module 5 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Associate Professor of Accountancy at the University of Illinois specializing in risk management and auditing.
Justin Leiby is an Associate Professor of Accountancy at the University of Illinois Urbana-Champaign, where he also serves as the Academic Director of the BSA/MSA Program and holds the Professor Ken Perry Faculty Fellowship. He earned his PhD in Accounting from the University of Illinois in 2011 and has since focused his research on areas such as risk management, decision-making in auditing, and the effects of social status on auditor assessments. Dr. Leiby's teaching includes courses like "Empathy and Data in Risk Management" and "Empathy, Data, and Risk," emphasizing the integration of qualitative insights with quantitative analysis in accounting practices. His work has been published in several prestigious journals, contributing significantly to the field of accounting.
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