Leading with Advanced Analytics and Artificial Intelligence

Creating business value through data science

Previously Named: Leading with Big Data and Analytics

Leveraging big data, business analytics and artificial intelligence (AI) to deliver solutions to complex challenges is not solely the responsibility of technology and data science specialists. Rather, it’s the responsibility of organizational leadership to understand and direct 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, which will enable leaders 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 in their organizations, this cutting-edge program delivers sophisticated material in an accessible, easy-to-understand format that is immediately applicable to real-world practice.

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

Listen to a Kellogg podcast: 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.

Why Analytics is a Leadership Problem
with Academic Director Florian Zettelmeyer

Personal Consultation

Please email or call us if you would like a personal consultation

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
  • Federal Government managers seeking to gain new insight and business perspectives to leverage the power of analytics and AI for improved organizational performance

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

View a sample schedule (.pdf)

Why Analytics and AI are Every Leader’s Problem

  • Analytics and AI Requires Managerial Judgment
  • Analytics and AI Requires Process and Incentive Changes
  • Analytics and AI Must be Problem-driven
  • Analytics and AI Must be Planned

How a Working Knowledge of Data Science Drives Business Value

  • From Exploratory Analytics to Predictive Analytics
    • How Predictions Work
    • Exercise: Predictions
  • From Predictive Analytics to Casual Analytics
    • How To Tell Good from Bad Analytics
    • Bridging Predictive and Casual Analytics
  • The Power of Experimentation
    • Why Experiments Are the Foundation of Analytics
    • Exercise: Experimentation
    • Experimentation in Practice
    • How to Prescribe Without True Experiments
    • Exercise: Prescribing Without True Experiments
    • Optimizing with Analytics
  • The Power of New Types of Data
    • Visualizing Analytics
    • Exercise: Visualization

Growth and Scaling with Artificial Intelligence

  • The AI Ecosystem
  • Building AI Teams
  • Advanced Predictive Analytics: Machine Learning and AI

How to Build Organizational Muscle in Analytics

  • Best Practice Case: United Airlines
  • How to Organize for Analytics
  • How to Manage Advanced Analytics Talent
  • Tackling Privacy and Ethics

Applying Analytics to Your Business

  • Presentations: Action Learning Projects
  • Wrap-up: How Organizations Succeed Using Big Data and Analytics

Faculty

Eric T Anderson - Academic Director; Hartmarx Professor of Marketing; 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; Chair of Marketing Department

Eric Leininger - Clinical Professor of Executive Education

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

Joel K. Shapiro - Clinical Associate Professor and Executive Director for the Program on 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 847-467-7000.

What Participants Say

“Best [program] I have taken...by far! The content was perfect and aligns with my job. The Kellogg professors were superb. Florian's energy and enthusiasm were infectious. [I] totally enjoyed the interaction with my classmates, which in itself was a great learning opportunity.”
Senior Marketing Manager, Cisco Systems

“This program totally opened my mind. Now I see things that I didn't before. I am ready to go back to my office and apply all this knowledge!”
Logistics Manager/Data Analyst, Evans Food

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.

2019 Sessions

April 15-19, 2019

Start: April 15 at 1:00 PM

End: April 19 at 12:15 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.

$9,800

Fee includes lodging and most meals

September 16-20, 2019

Start: September 16 at 1:00 PM

End: September 20 at 12:15 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.

$9,800

Fee includes lodging and most meals

Kellogg School of Management

James L. Allen Center
2169 Campus Drive, Evanston, IL 60208
Directions
847.467.6018