Have you ever felt that advertising is following you around? One day you search for some trainers on Google, and the next day the same ad keeps popping up on every banner of whichever social media or website you visit.
Even if you're not really sure what big data solutions are, this technology is right there beside you on a daily basis: from that TV series recommended by a streaming platform to the real-time map that shows you if there have been any accidents.
Big data solutions are a vast collection of datasets from a wide variety of sources, which are available in increasing volumes at an ever-faster rate.
These data can stem from multiple sources: social media, facilitated by IoT sensors (Internet of Things), gathered by companies from information they collect, etc.
The volume of data generated in an increasingly digitally-interconnected world grows exponentially by the day. There are two main types of data:
Given this vast amount of information, learning to exploit the macro-data has become one of the biggest challenges facing companies of today, since the proper gathering and, above all, analysis of the data offers a sharp competitive edge.
For example, when big data solutions are fully understood and therefore properly utilised, an organisation will be able to correctly identify its customers' behaviour, prevent machinery failures, or make decisions on well-documented historical data. As shown in the article The Leap to Augmented Analytics, it's all about incorporating an approach in the companies that allows for an “interpretation of all of the knowledge provided by the hundreds of thousands of data inputs that pour in."
Companies know as much and are investing their efforts in this area. That's why it comes as no surprise that the percentage of companies investing more than $50 million annually into big data and artificial intelligence has grown from 39.7% in 2018 to 64.8% in 2020, according to the Big Data and AI Executive Survey, by NewVantage Partners (2020).
Moreover, according to another report by Fortune Business Insights, big data revenues are set to grow from $307.52 billion in 2023 worldwide to $745.15 billion by 2030.
In parallel with this business interest in big data solutions, the demand for professionals specialised in data analysis is also booming. As a result, big data experts have become one of the most sought-after roles with the best prospects for the future.
With specialised training in big data solutions and machine learning, you can make your resume stand out from the crowd, essential in the intensive recruitment processes to select the best professionals at any type of company.
Nowadays, big data solutions are an indispensable element of a company's day-to-day. Hence, there are numerous examples of its current application in different fields:
As you can see, the possibilities offered by data analysis are already being implemented in all fields of business, and there is still much more to be discovered and applied.
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