Continuing the “Big Data” discussion Stacy started last week, I would like to touch on the area of monetizing customer-relevant big data.
Businesses of all sorts are accumulating data that does not easily lend itself to conventional database/data warehousing models. What they do and don’t do with this data can have a significant impact on their bottom-line business performance.
But it’s good to clarify two points about big data. First point: big data doesn’t just mean lots of data. According to the definition originally put forth by Gartner analyst Doug Laney in 2001, big data involves three attributes: volume, velocity (i.e. the speed at which it is accumulated and/or loses its freshness), and diversity of sources.

