http://en.wikipedia.org/wiki/Big_datahttp://www.forbes.com/sites/davefeinleib/2012/07/09/the-3-is-of-big-data/The definition is fuzzy. Core idea: it's beyond the scope of traditional tools to handle it.
A major Telco ran a Pay-Per-View event that generated significant revenue. But their question was: How can they see if the revenue created by the PPV event cannibalized other revenue? They looked at their Big Data subscriber logs to see what services subscribers have a pattern of using, and if/how this PPV event took away from consumption of other services. They discovered that the revenue was not all incremental, but it actually cannibalized other revenue. This influenced its profitability, and informed their future decisions regarding investments in similar PPV events.
Use cases span industries, data types, and latency requirements
Only Jaspersoft offers all 3 approaches, giving users the ability to meet any use case requirements
SeeJaspersoft.com for case studies on Big Data
EDF2013: Selected Talk: Bryan Drexler: The 80/20 Rule and Big Data
European Data Forum 2013: The 80/20 Rule and Big DataBryan Drexler, Vice-President, EMEAApril 10, 2013