Big data is nothing new to Quicken Loans. The nation’s largest online retail mortgage lender is accustomed to storing and analyzing data from more than 1.5 million clients and home loans valued at $70 billion in 2012.
But the big data landscape got a little more interesting for the Detroit-based company about three years ago.
“We were starting to focus on big data derived from social media — Twitter, Facebook, Web tracking, Web chats” — a massive amount of unstructured data, explains CIO Linglong He. “How to store that data is important because it has an impact on strategy — not just in storage and architecture strategy, but how to synchronize [that with structured data] and make it more impactful for the company,” she says.