Northwestern University is opening up a new space in the Bay Area[1], and the Masters in Analytics (MSiA) program is hosting an executive education course on “Big Data to Big Profits: strategies for monetizing social, mobile, and digital data with data science[2].”

Register for this event to meet or reconnect with Professors Russell Walker, Edward Malthouse, Diego Klabjan and others from Northwestern!

Location: Northwestern University | San Francisco Campus | 44 Montgomery St. Suite 1800, San Francisco, CA

Northwestern University is opening up a new space in the Bay Area[1], and the Masters in Analytics (MSiA) program is hosting an executive education course on “Big Data to Big Profits: strategies for monetizing social, mobile, and digital data with data science[2].”

Register for this event to meet or reconnect with Professors Russell Walker, Edward Malthouse, Diego Klabjan and others from Northwestern!

Location: Northwestern University | San Francisco Campus | 44 Montgomery St. Suite 1800, San Francisco, CA

Course Dates: August 25 – 26, 2016

Introduction:

Digital Disruption, Automation, Analytics, Data Science, the Internet of Things, and the Big Data wave are changing how we live and work. Businesses that understand the forces behind these large changes will enjoy a powerful competitive advantage in the near future.

In the digital economy, the firms that are able to first and best leverage social, mobile, and digital data will have great advantages. Specifically, leveraging analytics and monetizing Big Data will be part of the success. This will require enterprise focus on creating new data assets to enable and combat digital disruption. This requires deploying the Data Science team to create new data assets and to focus on growth and innovation. The use of customer data in this strategy has many pitfalls, and creating value streams from customer data requires careful consideration. It can also lead to great competitive advantages in pricing and marketing. Developing revenue strategies in customer interfaces like social networks, marketing campaigns, and even operational data will require careful identification of revenue streams and attention to customer expectations.

[1] http://www.northwestern.edu/newscenter/stories/2015/12/s-sanfrancisco-space.html

[2] http://www.mccormick.northwestern.edu/analytics/employers/executive-education-course.html