Antitrust, Privacy & Big Data Seminar



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Antitrust, Privacy & Big Data Seminar Concurrences Law & Economics Seminar Cadwalader, Wickersham & Taft LLP Brussels, Belgium February 3, 2015 Pamela Jones Harbour, SVP & Legal Officer Global Member Compliance & Privacy, Herbalife Ltd

Privacy & Competition Trends 4 Trends 1. User data -- including personal data -- is becoming an increasingly important asset for many businesses 2. Major Internet companies increasingly compete in multiple product and service markets 3. Mobile computing gives firms new, locationbased data streams 4. Large firms that collect data are seeking new ways to monetize data -- including ways that potentially reinforce their dominance

European Commission European Commission considered customer privacy in its review of TomTom/TeleAtlas case TomTom proposed acquisition of TeleAtlas provider of digital maps with complete coverage of Europe and North America. Commission noted confidentiality concerns can be considered as similar to product degradation Case No COMP/M.4854 TomTom/Tele Atlas, paras. 274-276, http://ec.europa.eu/competition/mergers/cases/decisions/m4854_20080514_20682_en.pdf

DOJ Comcast/ NBC Universal Consent Decree 2011 Consent Decree Focused on Keeping Pathways open for Innovation Innovation occurred because of the Disruptive Potential of the Internet DOJ s focus was on the Threat of Exclusionary Conduct by Incumbents. The New Form of Competition was in the Early Stages DOJ Alluded to Recognition of the Threat. United States v. Microsoft Corp., 253 F.3d 34 (D.C. Cir. 2001)

European Data Protection Supervisor s Preliminary Opinion March 2014 Privacy and Competitiveness in the Age of Big Data: The Interplay between Data Protection, Competition Law and Consumer Protection in the Digital Market Former European Data Protection Supervisor, Peter Hustinx: EC applied a purely economic approach to the case, [and] did not consider how the merger could have affected the users whose data would be further processed by merging the two companies datasets that were not envisioned when the data were originally submitted. EC therefore neglected the longer term impact on the welfare of millions of Users in the event that the combined undertaking s information generated by search (Google) and browsing (DoubleClick) were later processed for incompatible purposes.

Privacy & Competition - Theories Theory #1: Competition in Privacy Protections Firms compete on price, and on non-price dimensions that are important to consumers and may influence their purchasing decisions European Commission Guidelines on the assessment of horizontal mergers under the Council Regulation on the control of concentrations between undertakings, [2004] OJ C 31/5, para. 8. http://eurlex.europa.eu/lexuriserv/lexuriserv.do?uri=oj:c:2004:031:0005:0018:en:pdf

Privacy & Competition Theory #2 Theory #2: Competition in Privacy-Enhancing Technologies Privacy-related competition to strengthen user privacy. Examples: DuckDuckGo - search engine promises no tracking Sgrouples - social networking site promises no spying, no tracking, no stalking. Do Not Track opt-in or opt-out? Firms entering market with a dominant single player

Privacy & Competition Theory #2 A dominant firm might not have same incentives to invest in adopting privacy-enhancing business practices or developing privacy-enhancing technologies If firm feels confident that the lack of competitive alternatives for consumers gives firm a higher tolerance for weaker privacy practices and technologies.

EDPS Preliminary Opinion March 2014 Preliminary Opinion identifies an underdeveloped market for privacy enhancing services: Despite this heightened risk [for personal data] the market for privacy-enhancing services in the digital economy remains weak. Privacy and Competitiveness in the Age of Big Data: The Interplay between Data Protection, Competition Law and Consumer Protection in the Digital Market

Privacy & Competition Theory #3 Theory #3: Defining a Product Market for Data Firms continue to develop new products and services based on new ways of monetizing databases of user data and/or user profiles Competition regulators should consider defining a product market for user data, not just a product market for products or services fueled by the data.

Privacy & Competition Theory #3 A product market for data would also better account for the fact that firms are constantly finding new ways to use data, far beyond the initial purposes for which the data was initially collected. e.g., Historical ticketing data initially collected for the purpose of selling tickets to concertgoers is useful for concert promoters who need to decide which artists to book, when to schedule concerts, how to set prices, etc.

Privacy & Competition - Remedies When crafting remedies, competition regulators might consider extent to which a dominant firm might be able to maintain or extend monopoly through its control over user data, and ensure that any remedies address this risk. Competition Law and Consumer Protection Law have complementary goals: Competition Law strives to ensure that consumers have a range of choices; Consumer Protection Law aims to ensure that consumers have truthful and accurate information when making choices.

TREND: CALL FOR MORE EMPIRICAL RESEARCH IN AREA OF BIG DATA, PRIVACY & COMPETITION Former EDPS Hustinx Report Suggestions for Further Study Understanding the Value of Personal Data How can the value of personal data be assessed as a currency and an asset in competition analysis? To what extent is big data composed of personal data? Reviewing Approaches to Market Analysis Where Personal Data are an Asset How can we apply the parameters of competition (especially price, quality and choice) in explaining the impact on privacy and data protection? Competition Law Enforcement: Wider Issues Is there a case for wider study to inform regulators dealing with antitrust and merger cases in the digital economy One recommendation: Carry out retrospective/ex post analysis of the impact of competition decisions Weak Markets for Privacy Enhancing Services Data Portability: How Could it Work in Practice?