Then, of course, there are the innocent bystanders whose civil liberties, privacy and identity are violated, including the three Atta brothers in Texas, unconnected to the alleged hijacking leader, exonerated but having to chase down their names to get them off watch list copies posted on Internet sites in at least five countries. Likewise, cruise lines dont want to send their passenger lists up to Washington every day, either. So how do you compare data sets to come up with matches without actually exposing all your sensitive data?After all, whether youre visiting the doctor, heading to the Department of Motor Vehicles or buying a book on Amazon, youre exposing sensitive data. And as Jonas said in the podcast, consumers really hate being surprised in this area. "When the consumer suddenly realizes that their data is flowing in a way that they had not anticipated or its been revealed in a way that they would never have expected, then with that comes serious consequences," he said. " Consequences that affect companies brands when theyre surprising consumers." As it is, companies are already sharing a great quantity of data, and the quantity is only going to increase. But at what price? Such data originates in a system of record. From there it gets repackaged, integrated with other data and perhaps shared again. What you wind up with is what Jonas refers to as cascading, or a waterfall of data, where its next to impossible to keep data tethered and current. Throw government involvement into the mix, and issues around privacy and expression of private data fast turns into civil liberties dilemmas. Next Page: Tips for corporations.
Even more to the point for enterprises is a related question posed by Pearson during the podcast: How do you share enough information to keep business (or the economy) flowing, while balancing privacy and security of personally identifiable information?