Past Event! Note: this event has already taken place.
“Data Science Applications for Digital Marketing” with Amanda Shiga (VP, Digital, Nonlinear Creations)
October 31, 2016 at 1:30 PM to 3:30 PM
| Location: | 5345 Herzberg Laboratories |
| Audience: | Anyone |
| Key Contact: | Carleton University Institute for Data Science |
| Contact Email: | cuids@carleton.ca |
ABSTRACT
Marketing and advertising have been making valuable use of data mining and modelling techniques for many years. What is particularly interesting now is the intersection of three factors: the accessibility of digital platforms and analytics tools, new levels of competition on customer journey, and marketing teams who are more squeezed than ever for resources. In this context, opportunities abound for creative and cost-effective applications of data science by everyone from statistics gurus to marketers and business analysts.
In this Data Science Institute Lecture, we will explore the challenges and opportunities afforded by this intersection, and some of the interesting insights we’ve taken working with mid-size organizations and the push to drive more business value from data.
ABOUT THE SPEAKER
Amanda is Vice President, Digital at Nonlinear Creations, where she leads a practice focusing on marketing science and analytics. With a background in web strategy and application development, she helps organizations apply data, optimization and research techniques to improve the performance of their digital channels. She holds a B.Sc. in Computer Science and an M.A.Sc. from Carleton’s Technology Innovation Management program. Amanda was featured in CWSE-ON’s Canadian Celebration of Women in Computing 2016 and is Advisory Board Leader for the Toronto Sitecore User Group.
This seminar is free and open to all. Complimentary coffee, tea and light snacks will be provided beginning at 1:15 p.m. We hope you can join us!
Campus map: http://carleton.ca/campus/map/
Please note that photos or video may be taken at the event which may later be used in print and online media produced by the Institute for Data Science at Carleton University. For any questions or concerns, please contact Jena Lynde-Smith (jena.lyndesmith@carleton.ca).