How to translate Big Data into sales
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How to translate Big Data into sales

How to translate Big Data into sales

The internet is in a state of constant flux. Growth in data hasn't just been fast — it's been exponential. Statistics suggest that 1.3 zettabytes will be whirring around the web by 2016, an acceleration of information that was virtually unfathomable just a decade ago. It's nearly impossible to predict what the next decade will hold for network growth, but there is one constant: having a business strategy that is able to adapt to changes is the only way to remain relevant.

For the foreseeable future, that involves a comprehensive Big Data policy. Rich Spitzer of TrendPointers, Inc., a company that specializes in the industry, sums up how necessary it is to stay current.

"With big data, it's all about identifying what's coming up, as it is coming up," explains Spitzer. 

The actual storage of this information is becoming easier than ever, thanks to the rise of cloud computing. However, with this ability to collect data comes an attendant burden of actually sorting it and figuring out how to translate it into sales. For many companies, this process is outside of their comfort zone, as they don't have the available staff or infrastructure. 

This is where a product like FileMaker can play such a pivotal role. FileMaker developers can help a business new to Big Data devise an easy and comprehensive strategy that will transform a jumble of unconnected numbers into an actionable plan that will translate to sales. These days, companies simply can't afford to fall behind when it comes to collecting information.