The goal of this workshop-style course is to teach the systematic framework to make smarter decisions under uncertainty -- an emerging area called quantitative intuition. Information is essential to making intelligent decisions, but more often than not, it simply overwhelms us in today’s data-rich environment. The pace of business demands decisions to be made at a faster rate, however these decisions are often made by consensus that reflect a flight to safety rather than a bold decision acting as a catalyst for change. To make bold decisions, the manager needs the skills to quickly extract the insightful bits from the fire hose of information.
This course will focus on how to gather, understand, and find value in data across the business continuum, rather than teaching data analytic tools. Students will learn how to formulate critical business questions to effectively frame issues. The practical lessons taught will topple conventional wisdom that you need to be a numbers whiz to make sound, fact-based decisions. The course is aimed at managers and aspiring managers in all facets of business (e.g., consulting, marketing, product management, and financial products) who wish to equip themselves with pragmatic skills to be successful in our interconnected, data-driven world through precision questioning and quantitative intuition.
Christopher Frank was a Columbia Business School faculty member from 2015 to 2018.
Paul Magnone was a Columbia Business School faculty member from 2015 to 2018.
Professor of Business
Professor Netzer's research centers on one of the major business challenges of the data-rich environment of the 21st century: developing quantitative methods that leverage data to gain a deeper understanding of customer behavior and guide firms' decisions. He focuses primarily on building statistical and econometric models to measure consumer preferences and understand how customer choices change over time, and across contexts. His research...