Competition Law and 'Big Data': What Does It Mean for Data to Be 'Big'?

Free Public Lecture

Competition Law and 'Big Data': What Does It Mean for Data to Be 'Big'?

Woodward Centre Conference Room, Level 10
Melbourne Law School
185 Pelham Street


More information

T: 83445284

Competition enforcement authorities around the world are paying increasing attention to large providers of internet-based services. In particular, these authorities are focusing on the potential challenges posed by big data, an approach that would focus less on these companies’ positions in the markets in which they provide services to consumers and more on the amount of consumer information they are able to obtain and control.

Unfortunately, 'big data' is often used simply as a buzzword without any nuance or analysis. This lecture will provide greater insight into what it means for data to be 'big' by providing an overview of how predictive analytics uses data, surveying the empirical literature on scale economies in data, and examining the importance of attributes of data other than size. It will explore the impact of how different business models use data as well as the key analytical steps needed to determine the relationship between big data and consumer welfare.


  • Professor Christopher Yoo
    Professor Christopher Yoo, John H. Chestnut Professor of Law, Communication, and Computer & Information Science and the Founding Director of the Center for Technology, Innovation and Competition