Northwestern MS in Analytics: Executive Education Course

Big Data to Big Profits: Strategies for Monetizing Social, Mobile, and Digital Data with Data Science

Course Instructors: Russell Walker, Ph.D. and Edward Malthouse, Ph.D.

Program Content

In this program, we will examine how firms can take “Big Data to Big Profits” through data monetization strategies and the best use of Data Science for growth and innovation. This program will feature frameworks for monetizing data assets, best practices for leading the Data Science team for growth and innovation, and strategies for maximizing the value of social, mobile, and digital customer data across the enterprise. Specifically, we will examine:

• Creating Valuable Digital, Social, and Mobile Touch Points with Customers
• Measuring and Managing Digital, Social, and Mobile Touch Points with Customers
• Strategies for Monetizing Big Data
• Opportunities for Creating Data Products
• Leading the Data Science Team
• Creating New Data for Digital Disruption
• Managing Data Assets for Growth and Innovation

Benefits to Attendees

Program attendees will learn how to monetize data assets, advance the Data Science function in the enterprise for growth and innovation, and leverage social, mobile, and digital customer data. Special focus will be given to digitally-focused enterprises, seeking to leverage Big Data and Data Science for digital disruption.

Attendees, upon completion of the course, will earn a certificate of completion from the Master of Science in Analytics Program (MSiA), housed within Northwestern Engineering's Industrial Engineering and Management Sciences department, and will be provided special invitation status to limited-access events hosted by MSiA in the future.

Who Should Attend?

Executives and managers in organizations that like to leverage more data and a greater use of analytics in their business. As this course will provide strategic direction, executives from Technology Providers, IT, Data Science Teams, Startups, Human Resources, Marketing, Risk Management, Product Development, and Customer Service will find the applications especially useful. The course will focus on how organizations can best lead digital enterprises, leverage Big Data assets, and get more from Data Science teams.

Program Features and Policies

The cost of the program includes breakfast, lunch, snacks, beverages, and a networking session. Attendees will also be provided with all notes, books, and materials used in the program. Any travel, lodging, parking, or other expenses experiences are not included and are not the responsibility of Northwestern University or the program.

Because of the limited program size, we recommend that you contact us as soon as possible about your plans to transfer or cancel attendance. Full refunds are only possible when you cancel more than 30 days before the start of the program. You may transfer your seat to a colleague at no charge.

Northwestern University reserves the right to cancel a program at any time for any reason. If the course is cancelled, any paid program fees will be fully refunded to the registrant. The university is not responsible for refunding any travel or other related expenses experienced by the program registrant.

For a full, proposed program schedule, please go to: http://www.mccormick.northwestern.edu/analytics/employers/executive-education-course.html