According to IDG research, only 26% of organizations know the right questions to ask after collecting all the data. While industry leaders allow the data to show them where they should focus, the biggest issue is that many still have no idea what to do with the all the data. This would suggest that big data implementation and big data analysis still has a long way to go in order to reach the point of total integration. This could be due to data overload itself, as so many things become evident during this data capturing shift. The article below outlines four things you should do, as well as four things you shouldn’t do when executing on big data initiatives.
With the worldwide adoption of data capturing and data analysis, everyone is running to catch up with technology. Though we know there is real value in having access to data, we are still figuring out how to utilize it properly. But the question is: what are we allowed to do with all this data?
Big data analytics and insights can examine large amounts of data in a flash, and they can uncover hidden patterns and correlations that the human eye can’t detect. This all takes place almost immediately. And so, we have arrived at the present, which poses an entirely new world with new prospects – and also new dangers.
Big Data Integration Tools for Better Business Value
Not only is the big data platform proving valuable insight into business processes, but it is also augmenting human skills in judgment-based functions. Though this futuristic ideal sounds like something we remember seeing in movies, or in our dreams, while growing up, it was an unavoidable eventuality.
This new trend in relying on technology to aid business growth is primarily fuelled by innovations, data collection and its exponential growth, and the price performance of data storage. In the business world, strategic capturing and analyzing data has become the primary focus.
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