The goal of this workshop-style course is to teach the systematic framework to make smarter decisions under uncertainty -- an emerging area called quantitative intuitionTM.
Quantitative intuition is the ability to make decisions with incomplete information via precision questioning and business acumen driven by pattern recognition. This requires a parallel view of the issues that matter rather than just a logical sequence of thoughts to see the situation as a whole.
Information is essential to making intelligent decisions, but more often than not, it 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 reflecting a flight to safety rather than an insightful decision acting as a catalyst for change. To make bold decisions, the manager needs the skills to quickly extract the relevant bits from the fire hose of information.
This course will focus on the skills needed to develop quantitative intuition, namely how to gather, understand, and find value in data across the business continuum. Additionally, once the relevant data is found, we will spend time to become proficient in extracting meaningful insights and develop a set of pragmatic communication techniques to influence change. We will not teach data analysis software tools. Rather, students will learn 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, strategy, product management, and finance) who wish to equip themselves with pragmatic skills to be successful in our 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...