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@ 2022/08/26Profiles of millions sold to third parties
Oracle is being sued over allegations it created a network containing personal data and profiles on millions of people which it flogged off to third parties.
According to the lawsuit Oracle created a network containing personal information of millions of people and is using it to generate more than $40 billion in revenues annually. The data included names, postal addresses, emails, purchase history, location data, political views, and online activity.
The basis of the lawsuit is an eight-year-old video, in which the company’s CTO and founder, Larry Ellison, details Oracle’s data harvesting practices, and how the data is used to predict purchasing patterns.
"It is a combination of real-time looking at all of their social activity, real-time looking at where they are including, micro-locations – and this is scaring the lawyers [who] are shaking their heads and putting their hands over their eyes – knowing how much time you spend in a specific aisle of a specific store and what is in that aisle of a store.
"As we collect information about consumers and you combine that with their demographic profile, and their past purchasing behavior, we can do a pretty good job of predicting what they're going to buy next."
Oracle is being sued over allegations it created a network containing personal data and profiles on millions of people which it flogged off to third parties.
According to the lawsuit Oracle created a network containing personal information of millions of people and is using it to generate more than $40 billion in revenues annually. The data included names, postal addresses, emails, purchase history, location data, political views, and online activity.
The basis of the lawsuit is an eight-year-old video, in which the company’s CTO and founder, Larry Ellison, details Oracle’s data harvesting practices, and how the data is used to predict purchasing patterns.
"It is a combination of real-time looking at all of their social activity, real-time looking at where they are including, micro-locations – and this is scaring the lawyers [who] are shaking their heads and putting their hands over their eyes – knowing how much time you spend in a specific aisle of a specific store and what is in that aisle of a store.
"As we collect information about consumers and you combine that with their demographic profile, and their past purchasing behavior, we can do a pretty good job of predicting what they're going to buy next."
