Leading with Advanced Analytics and Artificial Intelligence

Creating business value through data science

Previously Named: Leading with Big Data and Analytics

Technology and data science specialists are not the only ones responsible for leveraging big data, business analytics and artificial intelligence (AI) to deliver solutions to complex challenges. Rather, organizational leadership is responsible for understanding and directing these approaches to achieve their business goals.

This program is designed to help senior leaders effectively manage and seize opportunities in the new environment of advanced analytics. Participants will gain a working knowledge of data science, enabling them to identify the challenges that analytics, machine learning and artificial intelligence can solve. It will also help them make the most effective investments in people, data, systems, culture and organizational structure. Led by world-class Kellogg faculty and former C-Suite practitioners experienced in working with senior executives and organizations who have successfully scaled analytics, this cutting-edge program delivers sophisticated material in an accessible, easy-to-understand format that is immediately applicable to real-world challenges.

Each participant will have the opportunity to receive faculty and peer feedback on a current business challenge related to leading analytics and AI functions within their organizations.

This program will be offered in a live virtual format through spring 2021. Our live virtual programs are built to deliver a rich experience that’s comparable to our in-person programs. You will have the opportunity to engage with our faculty and your peers in live discussions and lecture sessions. You will come away with the tools to navigate and succeed in the new business landscape.

Read this transcript from Kellogg Insight: Making Data Work Harder for You

Leading with Advanced Analytics and Artificial Intelligence Webinar:  This video features Professors Eric Anderson, Florian Zettelmeyer and Jim Woodrum and covers additional information and perspective on the Leading with Advanced Analytics and Artificial Intelligence program.

Information Session

Learn more about Leading with Advanced Analytics and Artificial Intelligence with this one-hour long information session.


Why Analytics is a Leadership Problem
with Academic Director Florian Zettelmeyer

Who Should Attend

  • 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

Key Benefits

  • 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

Program Content

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 Brothers Chair in Retailing; Director of the Center for Global Marketing Practice

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)

Kris Hammond - Bill and Cathy Osborn Professor of Computer Science, McCormick School of Engineering

Eric Leininger - Clinical Professor of Executive Education

Thomas O'Toole - Clinical Professor of Marketing; Executive Director, Program for Data Analytics at Kellogg

CPE Credits

Continuing Education Credit
This program is registered with the National Association of State Boards of Accountancy and is recommended for 27.0 CPE credits.

Continuing Professional Education Information
The Kellogg School of Management, Northwestern University is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.

All Kellogg programs that qualify for CPE credits do not have pre-requisites. Advanced readings and case preparation is required. A packet of course materials is emailed to all participants before the program begins.

All Kellogg programs are group-live or internet-based. Program level: Advanced. For more information regarding administrative policies such as complaints and refunds, please contact our office at 847-467-6018.

What Participants Say

“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.

Personal Consultation

Please contact us to schedule an advising session

Featured Faculty Videos

Your Learning Experience
with Academic Director Florian Zettelmeyer

Delivering Growth With Analytics
with Academic Director Eric Anderson

Designed for Leaders
with Clinical Professor Eric Leininger

Participant Videos

Participant Bob Allen discusses his experience with faculty and other participants in the program.

Rita Drucker shares how she learned to use data to make informed decisions.

Olaf Emmerich shares how the program taught him to ask the right questions about data and scale it throughout his organization.

2021 Sessions

April 5-27, 2021

Start: April 5 at 8:30 AM

End: April 27 at 11:30 AM

Live Virtual Program

Download the Topic Overview

This program is designed for leaders who are responsible for the application of big data and analytics within their organizations and its use in making institution-wide decisions. All applications will be reviewed for approval.


September 13-17, 2021

Start: September 13 at 1:00 PM

End: September 17 at 12:00 PM

Evanston campus

This program is designed for leaders who are responsible for the application of big data and analytics within their organizations and its use in making institution-wide decisions. All applications will be reviewed for approval.


Fee includes lodging and most meals

Kellogg School of Management

James L. Allen Center
2169 Campus Drive, Evanston, IL 60208