Quantitative Intuition™: Making Smarter Decisions with Imperfect Information

Date  
Feb 25–27, 2020 $6,550
Sep 30–Oct 2, 2020 $6,550
	Alberto O. Cruz
Contact
Alberto O. Cruz
Director, Learning Solutions
+1 212-854-6037
alberto.cruz@gsb.columbia.edu
Location
Columbia University Campus
New York City 
Plan your stay

"Information is essential to making intelligent decisions, but more often than not, it overwhelms us in today’s data-rich environment. We’ll equip you with a systematic framework to make smarter decisions under uncertainty."
–  The program’s Faculty Director Oded Netzer, Associate Professor of Business at Columbia Business School

Hear about the program from faculty co-directors Oded Netzer, Paul Magnone, and Christopher Frank.

On any given workday, business leaders are faced with an ongoing and billowing stream of data and information. Every day, they and their team are required to make hundreds to thousands of business decisions.

Often these decisions are made based on previous experiences, "business as usual," or staying in your comfort zone instead of synthesizing new and existing data and insights. The challenge then is: How can executives decipher the meaningful information from the clutter? How can they ensure that they make an impact for their business against the flush of information washing over them? How can they become catalysts of change?

The popular answer often is to improve the analytical skills and tools of your team. But the true challenge is for executives to manage their team in an increasingly analytical business environment and to improve their ability to quickly extract, compile, and synthesize pieces of imperfect information to make smarter decisions.

In Quantitative Intuition™: Making Smarter Decisions with Imperfect Information, participants learn how to make bold decisions with incomplete information via precision questioning and business acumen driven by pattern recognition.

This quantitative intuition™ framework – developed exclusively by the faculty directors of this program – teaches participants how to develop a parallel view of the issues that matter rather than just a logical sequence of thoughts to evaluate the situation as a whole. You will walk away from the program with the competencies to help you make smarter, data-driven decisions under uncertainty.

Please Contact Us

Please contact our Learning Solutions Specialists at 212-854-3395 for a personal conversation to learn more.

IMPACT

The program enables executives to acquire the skills needed to develop quantitative intuition™, toppling conventional wisdom that you need to be a numbers whiz to make sound, fact-based decisions.

Program participants will:

  • learn how to gather, understand, and find value in data across the business continuum
  • become proficient in extracting meaningful insights
  • develop a set of pragmatic communication techniques
  • return to your organization with the competencies to make more informed decisions and lead change

An important aspect of the program involves getting hands-on experience with data-driven decision making through multiple practical exercises, allowing participants to immediately apply the concepts upon their return to the organization.

In addition, one program session is also entirely devoted to the implications for executives of making decisions and managing talent in the field of artificial intelligence, or AI.

This is not a program about data analysis software tools. Rather, participants will learn to formulate critical business questions to effectively frame issues, make better decisions, and drive their organization's strategy forward.

In this webinar about quantitative intuition™, the faculty share examples of where they have seen QI drive significant revenue for an organization:


 

Upon completion of this program, you will earn three days towards a Certificate with select alumni and tuition benefits. Learn more.

PROGRAM STRUCTURE

The program is taught workshop style using a combination of lectures, guest speakers, simulation via an immersion experience tool, and in-class exercises. Throughout the program, the participants will work on a group project that will provide an opportunity to integrate the steps in developing quantitative intuition™ discussed in the program. Program sessions will be devoted to exploring the material through analysis of cases and applying the concepts to real-world situations.

The program involves three components:

Precision Questioning

  • Understand your biases
  • Discover why asking the right questions can lead to more successful decisions than having the right answers
  • Learn how to ask data-driven questions

Pattern Recognition

  • Learn how to evaluate data integrity
  • Disentangle the squiggly line from a meaningful pattern
  • Consider customer needs
  • Master the art of guesstimating – the Fermi method

Parallel Processing and Delivery

  • Pinpoint actions and growth opportunities
  • Create richer data-driven dialogue
  • Understand the difference between summary and synthesis
  • Utilize effective data visualization and 3D Storytelling

AI and QI

In a world where analytics and artificial intelligence are part of almost every business, one program session is also entirely devoted to the implications for executives of making decisions and managing talent in the field of artificial intelligence, or AI.

For a complete program schedule, please download the agenda.

PARTICIPANT PROFILE & TESTIMONIALS

The course is designed for executives of all levels 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 leaders and business drivers in our data-driven world through precision questioning and quantitative intuition™.

Alumni and up to four of their colleagues are eligible for a 25 percent tuition benefit for programs lasting up to seven days. More on the Alumni Tuition Benefit.

Typical Participant Mix

Geographic Spread

Years of Management Experience

Job Function

Industry

 

Hear from Past Participants:

FACULTY

The program faculty combine Ivy League research and leading industry practice, offering participants a real-world application of the concepts taught.

Oded Netzer, Faculty Co-Director
Professor of Business at Columbia Business School

Professor Netzer's research at Columbia Business School 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.
 

Christopher Frank, Faculty Co-Director
Vice President at American Express

As Vice President of Global Marketplace Insights at American Express, Christopher Frank is responsible for advertising, brand, and business-to-business research. Prior to joining American Express, he spent ten years at Microsoft as senior director in market research.

Chris has won industry awards for his accomplishments in analyzing the swing voter consumer, developing a framework for effective branding and building a social media analytics system. He is a recipient of the Wall Street Journal Achievement Award.
 

Paul Magnone, Faculty Co-Director
Management Consultant at Google

Paul has over 25 years of experience in strategic planning, new product development, acquisition integration, alliance management, and consultative sales. In his current work with Google, he is unlocking the next generation of business value through cloud computing and related technologies.

 

Previously at IBM, Deloitte Consulting, and several start-ups, Paul launched four global consulting practices in emerging technologies which drove over one billion dollars in new revenue streams. He holds two patents and has been an industry mentor in the National Science Foundation Innovation Corps (I-Corps™) program.
 

Along with Professor Netzer, Christopher Frank, and Paul Magnone, additional Columbia Business School faculty may contribute to and teach in the program.

* Program location may vary. While the majority of our programs run on campus, some programs may run off campus in New York City.