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How Amazon tools are solving Big Data problems with Big Data Analytics

24/06/2014 by


The whole point of amassing data about your users is to intelligently analyze that data and uncover new trends and unforeseen behavior. Given, there may never come a time when business intelligence applications will be able to properly sift through the petabytes of data that some organisations are collecting on a daily basis, but that’s no excuse for enterprises to settle with a narrow view of big data analytics. But how can organisations figure out how to best take advantage of their newly amassed data and statistics when only a finite amount of processing is available? It takes time, patience, and as you’ll see, the wherewithal to put people in charge who can implement the right plan for your business.

Big Data itself is only a few years into its maturation, which means Big Analytics is only now incubating. That means that there’s a pretty big skills gap in this arena, so finding the right experts is a challenge. In a recent InformationWeek survey about ‘Analytics, Business Intelligence, and Information Management’, “47% of respondents listed ‘expertise being scarce and expensive’ as their primary concern about using big data software.” But to do business intelligence correctly, finding the right people is an absolute must.

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