Next Generation Consumer Analytics
A new generation of personal data analytics is set to revolutionise retail and brand analytics. This is due to the increasing volumes of personal data being generated about each individual. By integrating sensors with deep learning, it is now possible to gather a detailed trace of your life activities and experiences. The benefits for the individual of maintaining these personal ‘lifelogs’ will mean that such data volumes will become the norm, rather an the exception over the coming years. In this talk, I will build on my ten years of expertise in the area to explore the opportunities and challenges for retailers that emerge from this new world of personal data. I will outline a roadmap for technology progression and explore how retail data analytics will move from the store into the real-world, giving detailed insights into the customer and their brand interactions.
Dr. Cathal Gurrin is a senior lecturer at the School of Computing, at Dublin City University, Ireland, CIO of Identic, and he is an investigator at the Insight Centre for Data Analytics where he leads a research group of 10 people. His research interest is personal analytics and lifelogging and he is an pioneering researcher and entrepreneur in the area. Lifelogging integrates personal sensing, computer science, cognitive science and data-driven healthcare analytics to realize the next-generation of digital records for the individual. He is especially interested in how wearable sensors can be used to infer knowledge about the real-world activities of the individual and how lifelogs can be used to enhance the life experience of the individual. He regularly speaks at Quantified Self events and is a contributor to Discovery Channel, BBC, NHK, as well as in the Economist magazine, New York Times, among many others.