• Leaders who want to scale analytics and AI in their organization
• Senior leaders who want to build a culture of data-driven decision making
• Functional leaders in areas such as marketing, finance and other operational areas who would benefit from a better understanding of how to leverage analytics and AI in decision-making
• Data scientists who want to learn how to create business value with analytics and improve their communication with non-technical managers

• Identify the business challenges that can benefit from analytics and AI
• Distinguish between good and bad analytics
• Learn to ask the right questions and challenge assumptions of analytics and AI
• Utilize data, analytics and AI to drive successful business outcomes
• Assemble the team and resources needed to drive data analytics
• Gain the leadership confidence to stay ahead of a rapidly changing marketplace

Why Analytics Needs You and Why You Need Analytics

• Understand why analytics is every leader’s problem
• Judge what good analytics looks like
• Identify where analytics adds value
• Lead with confidence

The Kellogg Analytics Framework

• Understand exploratory, predictive and causal analytics
• Learn to link analytics with strategy and business objectives
• Develop strategic versus reactive analytics initiatives

How to Distinguish Good from Bad Analytics

• Gain insight into what can and cannot be learned from the underlying data that is used to produce the analytics
• Understand the data-generation process
• Learn how to check for “junk science”
• Study the four core questions of good data analytics

Creative Gaming Simulation

• Run your own prediction using predictive analytics to understand how better data yield better predictions
• Launch your own experiment utilizing an experimental methods framework
• Understand how advanced machine learning and AI models generate business value

Growth and Scaling with Artificial Intelligence

• Understand the AI ecosystem
• Build AI teams
• Understand advanced predictive analytics: machine learning and AI

How to Build Organizational Muscle in Analytics

• Overcome barriers to scaling analytics
• Learn how to manage and develop analytics talent
• Develop a customer-centric view that guides analytics throughout your organization
• Gain insight into how leading organizations create career paths for analytics talent

How to Apply Analytics to Your Business

• Leverage action-learning projects for greater insight
• Discover how successful organizations utilize data and analytics

Eric T Anderson - Academic Director; Polk Bros. Chair in Retailing; Professor of Marketing

Florian Zettelmeyer - Academic Director; Nancy L. Ertle Professor of Marketing; Faculty Director, Program on Data Analytics at Kellogg

Steven Franconeri - Professor of Psychology, Weinberg College of Arts and Sciences; Director, Northwestern Cognitive Science Program; Professor of Leadership, Kellogg School of Management (Courtesy)

Thomas O'Toole - Associate Dean of Executive Education; Clinical Professor of Marketing

“Kudos to everyone involved — the entire experience was such a pleasure. This was my first Executive Education experience and I wasn't sure what to expect. I feel that all involved did a really nice job translating this online. We got to know one another relatively well due to the many break-out sessions.”

Participant, Live Virtual Program

“This is an excellent hands-on program with outstanding faculty. The subject matter is relevant to organizations large and small. Participants learn ways to have confidence in data, practical ways to organize a strategic plan and implement data-analysis practices and how to be more confident in managerial decision-making.”

President, Conway Media, Ltd.

“Although I have been immersed in analytics for some years now, this program helped me take a step back and look at analytics from a leadership perspective. Great program and great delivery by the faculty.”

Analytics Manager, Cargill, Inc.