
Why Is Big Data And Business Analytics A Smart Career Choice?
With technologies rising like never before, global enterprises are generating large chunks of data regardless of which industry they belong.
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CIO Applications Europe | Monday, December 03, 2018

With technologies rising like never before, global enterprises are generating large chunks of data regardless of which industry they belong. Recent studies have projected the amount of data generated would double every two years until 2020. Today, companies are aching to find ways to analyze and utilize the exponentially increasing data, to come up with new strategies to enhance their business. Although this surge has created a demand for skilled professionals and experts who can comprehend, assess, manipulate and analyze these datasets, organizations are unable to find the right candidates due to a significant talent gap. A report from Bain & Company also highlights that only 4 percent of companies are able to make good use of data analytics. This indicates that an ample amount of data insights are just being dumped in data centers and businesses are losing out on many opportunities to make significant improvements to their services, processes, and products.
However, students or professionals interested in big data and business analytics can perceive this tragedy as a smart career opportunity, as it has become the need of the hour.
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Supply on Demand
Many studies indicate that the size of the analytics market will evolve from one-tenth of the global IT market to at least one-third within the next few years—meaning, that people quickest catch the train would be ones benefiting the most out of the ever-growing field. Also, an IDG Enterprise Big Data Research emphasized on the fact that an average company will be spending nearly $8 Million on big data related initiative, so professionals opting a career in this domain are likely to be paid competitive salaries. Professionals looking to enter this domain now can choose to enter industries seeking big data workers such as professional, scientific and technical services, IT, manufacturing, finance and insurance, and retail among many others.
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