Despite all of the hype surrounding constant advancements in Big Data, the current mindset guiding data architecture is outdated. The landscape has changed considerably in the recent past. The rapid pace of technological development has allowed businesses to capture and store vast amounts of data in far less time and at a much lower cost than ever before. Technology will soon reach the point at which Big Data analytics will become “as easy to use as Excel,” Alok Prasad, President, Cambridge Semantics. Along with the flood of other new technologies in innovative data science, the most exciting of which include advancements in direct consumer connections in real-time and the Internet of Things, it’s difficult not to get caught up in all the fuss. According Neil Jarvis, Chief Information Officer, Fujitsu Americas, “businesses are finding it increasingly easier to collect and store the vast quantity of 1s and 0s that their businesses and the world at large generate. Where companies often get stuck is figuring out how to use all that data – determining what’s relevant, what to discard and, most importantly, what can be used to drive and grow their business.”

from Forbes – Tech http://ift.tt/1LQNPyF
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