There are a few concerns for privacy when it comes to big data: customer protection, regulation compliance and usability. Ultimately, a good privacy policy for big data provides the maximum protection for your customers, it's compliant with the regulations that the product is subject to (like HIPAA, GDPR, etc.) and provides an incredibly useful product as well by leveraging the data in a responsible way. To achieve all three is at times incredibly difficult, but is usually possible if thought about in the right way. There exist techniques like anonymization and privacy-enhancing technologies that allow products to achieve all three goals easier than before. It's incredibly important that privacy is thought of upfront, like security, when designing your big data systems, as it can be incredibly expensive to add later.
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Andrew Wolfe has an M.S. in Computer Science from Georgia Tech University and more than 10 years of experience working in the software industry for well-known companies such as Diebold, Tableau, Explorys and Onshift. After years in the corporate and startup worlds as well as running his own consulting firm, Andrew realized he had to do more to improve software products and practices. From that, Skiplist was born. Skiplist is the opportunity to focus on thoughtful, quality software and change the software consulting industry.
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