Quantitative Intuition™: Making Smarter Decisions

Quantitative Intuition™: Making Smarter Decisions with Imperfect Information 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 "business as usual" rather than an insightful decision based on a combination of new and existing insights gather and synthesized. 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? The popular answer often is to improve the analytical skills and tools of your team. But with a shortage of data analysts, the challenge is actually for executives to learn how to gather more insights beyond their data science teams and to improve their ability to quickly extract, compile, and synthesize pieces of imperfect information from the plethora of data available. In Quantitative Intuition: Making Smarter Decisions with Imperfect Information, participants acquire the tool set 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 see the situation as a whole. Walk away from the program with the competencies to help you make smarter decisions under uncertainty. 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. 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. 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.