Two Reasons why Big Data Jobs will be Aplenty Globally in 2019

In this vast sea of big data, information is preserved and collected as long as it is brimming with algorithms, statistics and other forms of relevant intelligence.

Information is all around us. We are an aspect of information that derives information from others, and they from us in return. In this vast sea of big data, information is preserved and collected as long as it is brimming with algorithms, statistics and other forms of relevant intelligence. Big Data goes through a long and thorough procedure of being inspected, altered, simulated, and transformed using qualitative and quantitative methods, to improve productivity and scale up business processes and hence make organizations generate more revenue and become profitable.

From Fortune 500 to fresh start-ups, companies do not wish to miss out on the chance of extracting any data possible from their customers, demographics, or their competitors. From FMCG to healthcare, BFSI to education, data is everywhere, only to exploit what it entails.

Big Data Analytics goes for both organizations and professionals, and for professionals who are quite adept in the art of handling large data, 2019 seems promising and getting only larger in terms of their career growth chart primarily because of two reasons viz:

1: Exponential Need:

Data does not seem to hold any relevance without the skill of analysis. If we look around, the opportunities for the requirement of analytics professionals do seem to be getting higher in Big Data Management and Analytics than it had in the last five years. No Wonder, the latest IIT placements across the country have bagged good packages for Big Data & Analytics candidates.

2: Skill-Gap:

Despite of there being a heavy current demand for qualified analytics professionals, a considerable number of jobs around the world remain vacant due to lack of a certain skill. Looking at current market scenario, though India has a good concentration of analytics, globally there seems to be a critical scarcity of Big Data professionals who can perform analytics, understand the data captured and manipulate data to draw conclusions and results for organizational growth hacking.

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