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Big Bang Data

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Big Bang Data

technology

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16 de agosto de 2018

There's no doubt that the big data universe is offering data scientists, engineers and architects huge professional opportunities. In this sense, the McKinsey Global Institute (MGI) notes that: “...the sheer volume of data generated, stored, and mined for insights has become economically relevant to businesses, government, and consumers...”

Let’s take a look at the following scenario. If the US healthcare system used big data in a real, effective way, the sector could gain over 300 trillion dollars of new business a year. Meeting this figure would mean reducing the cost of healthcare in the US by 8%.  Europe is no stranger to growth in this market either. In fact, improvements to operational efficiency could generate 100 billion euros if big data was used to its full potential. 

The way we manage data has always been important, if not something that makes us stand out. For a long time, we were preoccupied with generating data with no clear, concrete objective. Subsequently, a greater focus was placed on storing our own data and on what data companies had access to, which saw the beginnings of correlations between them. Currently, we find ourselves in the analysis phase; the time for experimenting, creating more complex use cases. It’s a really fascinating step.

But still, I believe we are still in the early stages of this technology. We are armed with a very powerful toy, and we are only just beginning to harness its power. It reminds me of the same phenomenon that came about with the invention of the TV; the first programmes were radio shows with images, nothing more. We knew no different. But we began to learn, increasing our talent.

This outlook draws up some great predictions for professionals in the sector. According to the Davos World Economic Forum, big data professionals will be one of the most sought-after groups for companies over the next few years. They will lead the fourth industrial revolution and will have a place in 80% of big companies worldwide.

As a result, data volumes will continue to grow exponentially. Increasingly autonomous data analysis tools will be created, connecting this trend with others such as AI and machine learning.  You can read more about this in this Forbes, Gartner and Forrester article (https://www.forbes.com/sites/bernardmarr/2016/03/15/17-predictions-about-the-future-of-big-data-everyone-should-read/#41502e9f1a32)

These favourable predictions once again place the focus on a form of technology, a trend, and a professional career path that we at everis will make the most of.

Understanding what defines a big data professional is a huge help when it comes to steering their career and their training process (link to the post written about big data training). At everis, we offer specific grants to Master's or undergraduate students. This brings talent into the company and individuals will develop their career through one-off benchmark client projects in sectors such as Telecom and Banking. These initiatives enable us to strengthen our technological capacity, through tangible projects, working with the best professionals in the sector.

Big data is a profession with a great deal of potential for growth. It helps professionals who are familiar with traditional system techniques to branch out into a new innovation avenue which, in a few years, will lead the market.

 

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