Big Data

Case Study: Big Data Mistakes and How to Avoid Them

Gartner is forecasting that the big data market will generate $34 billion in IT spending this year. Most of big data investments are upgrades to traditional systems to better gather and analyze data coming from Website traffic, social networks, sensors and customer interactions.

But are organizations getting the most out of their investments in big data? Apparently not as pointed out over at baseline.com.

The recent book, Too Big to Ignore: The Business Case for Big Data (John Wiley & Sons/available now), reveals that companies still face a steep learning curve when it comes to big data. Author Phil Simon writes that both managers and employees can get overwhelmed by big data, to the point at which they fall into the following classic traps that distract them from what should be the core goal of any project: to more effectively achieve business-benefiting strategies. By staying focused on what really matters, he contends, you and your work colleagues will get the most out of the vast volume of information out there. Simon is a speaker, author and tech consultant, and has been featured on NBC and CNBC, among other media outlets

 

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