When can Big Data go wrong?

Big Data has been credited with major changes and improvements in how businesses, non-profits and other organizations are run today. With so much information and the right analytical tools, companies can make better decisions about their products, customers and how the business is run. These resources have also been used in the healthcare industry by determining how some medications can interact with others, as well as to find commonalities between patients with similar diseases. 

At the same time, an article in the New York Times explains there are still some challenges to using Big Data, and companies using data engine software must be cautious when fully relying on the information. 

"Imagine spending a few hours looking online for information on deep fat fryers," the Times wrote. "You could be looking for a gift for a friend or researching a report for cooking school. But to a data miner, tracking your online viewing, this hunt could be read as a telltale sign of an unhealthy habit — a data-based prediction that could make its way to a health insurer or potential employer."

Instead, it's important for companies that are using this data to remain aware of both its potential and limitations, and to know how to use the data correctly. While there are some questions that Big Data will never be able to solve, these resources do have the ability to make remarkably accurate predictions. For businesses using Big Data, having both the right training and data engine software can help employees see these benefits and use the tools in the most accurate way possible.

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