Speaking at the Inman Data Summit

July 21, 2011 at 6:43 pm Leave a comment

By Terence Craig
In another example of how awareness of the importance of Big Data is growing across industries, I have been invited to speak at the Inman Data Summit on Monday July 25th in San Francisco.  I will be participating in a panel discussion titled:

With Big Data Comes Big Responsibility: Why Privacy is a Big Deal

With widespread media coverage about data breaches and several proposed bills making their way through the U.S. Congress, privacy is a hot-button topic that you can’t afford to ignore. How you handle the information you’re entrusted with can be a make-or-break proposition for your brand. Learn how to get personal with big data while mastering the legal, ethical and technological challenges. What are best practices for collecting consumer data and tracking your Web visitors? How do you glean the most from their online behavior without being “creepy?”

Moderator: Melanie Wyne, Senior Technology Policy Representative, National Association of Realtors®, @nartech

I am really looking forward to the discussion – commercially useful information in the real estate domain forms an interesting intersection of publically available data from both government entities (tax assessments, property lines, neighborhood crime levels), public market data (offering prices), and the very private consumer financial information that is required to purchase a home.  While this data offers many opportunities for profitable analysis, it also offers the potential for privacy abuses.  These panel discussions are always interesting for me – since as a Big Data Analytics vendor, I understand the benefits that can accrue to society and businesses from the aggressive use of “Big Data.”  But the research we did on our soon-to-be released book, “Privacy and Big Data,” shows that unless privacy is treated very carefully there is a dark side as well. However, all of that should make for a great panel, if you are attending the show, I hope to meet you there.   


Entry filed under: Data, General Analytics. Tags: , , , .

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