Project Alignment, Hiring Shortfall Top 2016 Big Data Challenges

In 2016, big data will lend a helping hand to almost every function of a business. But with all the benefits that big data analytics brings to the table, it also has its challenges. At the top of this list of challenges are staffing big data projects and aligning enterprise goals.In the coming year, companies across industries will see an unprecedented need for more data science talent. Additionally, there will be an ever-increasing demand for departments across organizations to align objectives and leverage the data needed to achieve those goals. Making big data a priority for 2016 means addressing these issues as they arise so you can realize the value of big data analytics.Demand for data scientists overwhelms the supplyA report from McKinsey found that the American economy will experience…


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