There is so much information we have create Big Data. The trend to larger data sets is due to the additional information derivable from analysis of a single large set of related data. Data sets grow in size in part because they are increasingly being gathered by ubiquitous information-sensing involving Smart phones, wireless sensor networks and more. The world’s technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of 2012, every day 2.5 quintillion (2.5×1018) bytes of data were created.The challenges include capture, curation, storage, search, sharing, analysis, and visualization.
And the only way to make sense of the data is with Analytics. Analytics is the discovery and communication of meaningful patterns in data. The bigger the data set the more important the role of analytics to help us make sense of it.
Software as a Service – or SaaS – is the vehicle to deliver the information. Sometimes referred to as “on-demand software”, SaaS is a software delivery model in which software and associated data are centrally hosted on the cloud. SaaS is typically accessed by users using a thin client via a web browser.
But, at the end of the day, the average person doesn’t know much about big data, analytics or SaaS. Your customers only know what they feel and think about your brand, if they love or hate your product and if you delivered on your promise.