“The reality is that big data has absolutely no value unless you can build insights. And insights have no value unless you can distribute those insights in the right format to the right people… to make the right business decisions to ultimately drive efficiencies and P/L sales.”
“What makes Product Intelligence interesting to us as a field of focus is that it is a superb application for Big Data – providing highly targeted, real time intelligence that serves up insights INSIDE of the new product development process at the exact moment when conclusive, authoritative insight is most needed. When it’s literally make or break. ”
“The first dimension is to identify the different business drivers within your company. What are the most important ares within you company that drive revenue and how can you improve them with data. Big Data offers the possibility to improve these business drivers and increase your revenue. ”
“In order to get results from Big Data, you do not need petabytes or more of data. Instead, it is all about combining data sources that provide you the insights”
Big data is a vague term for a massive phenomenon that has rapidly become an obsession with entrepreneurs, scientists, governments and the media.
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“A recent IDG study predicts enterprises will have spent, on average, about $8M on Big Data initiatives in 2014. That’s really not too surprising, as Big Data analysis promises better data-driven decision making. By using historical information and inputting any number of variables, analysts hope to discover important trends and use them as an accurate way of predicting future results.”