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Data is ubiquitous, and cyber, data, technology, financial, and operational risks need to be well managed and addressed. Organizations are striving to become data-driving companies to achieve better performance through data analytics and automation. We will walk through some practical examples and analytical approaches, tactics used to combat risks, and what we have implemented to transform existing routines into habits. The presentation will demonstrate how analytics tools and technologies help to achieve process improvement, gain efficiency, and improve risk management practices.
Learning Objectives:
Apply analytics tools and technologies to improve risk management practices and develop data-driven habits, while assessing the benefits and limitations of different approaches.
Identify tactics for managing cyber, data, technology, financial, and operational risks in a data-driven organization, and incorporate risk management into data analytics and automation initiatives.
Analyze how data analytics and automation can improve organizational performance and risk management, using practical examples and analytical approaches.
Speaker(s):
Angie
Ng,
CPA, MBA, CITP, CGEIT,
Chief Data & Analytics Officer, Technology & Operations,
Bank of Montreal (BMO)