November 2013

By now everyone has heard the story of how Target in the US was able to figure out that a teenage girl was pregnant before her father. Controversy from that specific case aside, being able to engage with customers at that kind of depth is a holy grail for modern successful business. But many struggle, because while collecting customer data and storing it is relatively easy, making sense of the data in a way that benefits the business is a far bigger challenge.

“Big data” is the buzz-phrase that’s being spouted by those who want to sound tech-forward, but what does it really mean? If you think it’s only about millions of records, Hadoop clusters and indecipherable algorithms performing unpronounceable functions, you’re way off.