Decision-Making Using Data (2days)
As a manager, you are making dozens of decisions that affect the future of your company and your own career. As a human being, your decisions are often probably biased.
Join Dr. Pekec from Duke University and learn how to recognize mind traps and make accurate predictions and decisions by using real-life examples and business case studies insights.
Regardless of the setting, managerial decisions are necessarily made under conditions of uncertainty. In order to make informed decisions under uncertainty, managers must learn to analyze and understand data concerning relevant variables and relationships and to make inferences and predictions on the basis of such data.
Upon completion of this program participants will:
- Understand data-analysis concepts and learn to interpret and use statistical analyses in decision-making
- Learn methods for structuring and analyzing complex decisions. Learn how to model risk and uncertainty in the decision-making context
- Learn how to apply critical thinking in decision-making
- Develop skills for improving decision-making by avoiding and correcting for cognitive biases
- Embrace efficient decision-making processes and strategies for reaching optimal decisions in individual and group settings
- Become an empowered decision-maker and learn how to strengthen decision-making in your organization
“Putting a number behind your decision gives you the opportunity to get faster in a more transparent way
to a decisive conclusion”
Director Global Logistics Services
“The professor was really good in communication and making the topic interesting”
Financial Planning & Control Manager East Europe
Saša Pekeč is an Associate Professor in the Decision Sciences Area at the Fuqua School of Business. He holds a Ph.D. in Applied Mathematics from Rutgers University. He joined Duke in 1998 and is currently teaching the core statistics course in the daytime MBA and the Cross Continent MBA programs.
Professor Pekeč research is interdisciplinary and revolves around decision-making in complex competitive environments, and includes work on multiple object auction design, subset choice and bundle valuations, preference elicitation and information aggregation. He has published articles in Management Science and Operations Research, as well as in top academic journals in other fields such as economics, mathematics, and psychology. His work on combinatorial auctions had been widely cited and had influenced the design of a new generation of now standard procurement auction procedures in a variety of industries.
Professor Pekeč’s consulting experience includes banking, Internet, pharmaceutical, retail, and telecommunications industries. He serves on the Supervisory Board of Atlantic Grupa, one of the leading FMCG companies in SE Europe. Professor Pekeč is a member of the Council of Economic Advisors to the President of Croatia.