Executive Decision Making With Data Science

Haas School of Business

What are the topics?

Haas School of Business

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Who should attend

  • New Leaders
  • Senior Leaders
  • General Managers
  • Department Heads
  • Directors
  • Any business professional who regularly makes decisions that impact the success of their functions or organizations
  • A group of colleagues or team who would like to advance their skills together

About the course

Business leaders are tasked with making countless decisions every day – some mundane, some momentous. These decisions can have big repercussions, affecting the survival of businesses or even careers. Despite the prevalence of decision making in business, professionals are rarely given clear preparation or guidance on critical thinking or the right process to make rational decisions.

The Executive Decision Making with Data Science program was designed to provide executives with the essential training in fundamental decision-making skills that will empower them to overcome biases, problem-solve, and adopt data-driven decision making. Central to the program are decision-making strategies that leverage data analysis to make informed decisions.

Professor Don Moore guides participants through the fundamentals of critical decision making; evaluating details to distinguish between crucial and trivial information, recognizing our own biases that can affect judgment, and avoiding potential short-term thinking that could cloud long term decision making. Participants will be equipped with effective tools to apply accurate and reliable information to make sound decisions that enable successful business outcomes.

Join us at the Berkeley Haas campus for our three-day in-person decision-making training or choose the flexible Exec Ed Lab; a virtual four-week learning experience that maximizes interaction and collaboration with faculty and groups - wherever you are.

Sharpen Your Decision-Making Intuition

Learn how your intuition guides you, and how to overcome the mind traps that can impair effective decision-making.

Harness the Power of Data

Develop the skills to effectively execute data mining and extract crucial information from big data sets to perform analyses. Utilize data analysis to build a solid foundation of evidence and inform better business decisions and strategies.

Apply Advanced Tools & Build Your Confidence

Explore advanced tools (such as pre-mortems) to help you build confidence and think creatively to problem solve in the face of risk and uncertainty.

Enable Sustainability & Long-Term Decision Making

Learn how to anticipate the downstream effects of decisions and maintain critical thinking skills while balancing trade-offs and considering larger business goals.

PROGRAM TOPICS

The Executive Decision Making program curriculum covers the following topics:

TOPIC 1 | Thinking Critically About Information

  • Distinguishing between trivial and vital data
  • Experiments vs. observational data
  • A/B testing and experimental design
  • Balancing the interests of different stakeholders

TOPIC 2 | Rational Decision Making

  • Tools for rational decision making
  • Thinking through uncertainty and probability
  • Assessing risk and reward with expected values
  • Using pre-mortems to anticipate and prevent future disasters
  • Thinking through complex contingencies
  • Applying rational tools in complex organizations

TOPIC 3 | Avoiding Decision Mind Traps

  • Biases in judgment and decision making
  • Common problems with how people collect, analyze, and interpret data
  • Cognitive shortcuts that inhibit the decision-making process
  • Short-term thinking that imperils your long-term interests

TOPIC 4 | Sustainability and Long-Term Decision Making

  • Thinking about the larger goals of your business
  • Understanding the relationship between sustainability and strategy
  • Trading off competing interests
  • Anticipating the downstream consequences of your decisions

TOPIC 5 | Effective Decision Making in Practice

  • Changing habits of mind that aren’t serving you
  • Changing dysfunctional organizational routines
  • Coaching those with whom you work to help them make better decisions
  • How effective decision-making strategies affect the qualities of a good leader
  • Applying these lessons in daily life

Experts

Ned Augenblick

Education PhD, Economics, Stanford University H.Dip, Mathematical Sciences, University College Dublin BA, Economics and Psychology, Georgetown University Positions Held At Haas since 2010 2010 – present, Assistant Professor, Haas School of Business External Service and Assignments ...

Don Moore

Education PhD, Organization Behavior, Northwestern University MS, Organization Behavior, Northwestern University BA Magna Cum Laude, Psychology, Carleton College Positions Held At Haas since 2010 2016 – present, Professor, Management of Organizations Group, Haas School of Business 2...

Juliana Schroeder

Education PhD, Psychology and Business, University of Chicago Booth School of Business (Behavioral Science), University of Chicago (Social Psychology) MBA, University of Chicago Booth School of Business 2012-2014 MA, Social Psychology (Minor: Advanced Methods and Statistics),The University of...

Robert Strand

Education Ph.D., Doctoral School of Organization & Management Studies, Copenhagen Business School MBA, International Business, University of Minnesota B.S., Industrial Engineering, University of Wisconsin Positions Held At Haas since 2014 2014 – present, Executive Director, Ber...

David Bamman

David Bamman is an assistant professor in the School of Information at UC Berkeley, where he works on applying natural language processing and machine learning to empirical questions in the humanities and social sciences. His research often involves adding linguistic structure (e.g., syntax, sema...

Videos and materials

Executive Decision Making With Data Science at Haas School of Business

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Read more about Business Analytics

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