In recent years, our vocabulary has been expanded by words and phrases that are already part of our usual jargon. Terms like “the Internet of things “or” Big Data ” do not sound like Chinese to a person who makes regular use of the Internet.

Based on the definition provided by Wikipedia, it can be defined as “Big Data” to the discipline framed in the sector of information and communication technologies that manipulate large amounts of data. Collection, treatment and management of these data could be defined as the three main phases in the life of the data included here.

In this age of communication, of the Internet of Things, where we are connected to the Internet through a myriad of devices (some of which operate with some autonomy in terms of sending and even processing data) the term begins to gain strength ” Big Data “and a debate is being generated about the possibilities and power that this term has in itself.

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Big Data is a concept that is increasingly talked about, and it is not for less since its potential can be very valuable if it is treated properly. To understand the magnitude of this potential we show you some figures:

  • More data has been created in the last 2 years than in the entire history of mankind
  • Big Data is growing at a speed never before seen, and it is estimated that by 2020 each individual will create 1.7 megabytes of new information per second.
  • We create new data every second: we conduct 40,000 new searches in Google per second, which is equivalent to 3.5 million searches per day and 1.2 billion per year.

But what is the use of Big Data? 5 basic applications of Big Data:

· Analysis of data and information: What the specialists call three “V” (speed, volume and variety) are a reflection of what organizations (whatever the field in which they act) can do to improve their processes, make better decisions and evaluate, before their implementation even, the impact of them.

· Formulate predictions about future behavior: The analysis provided by Big Data allows us to understand the behavior of people and of human groups. It also allows making predictions about future behaviors.

· Evaluate the impact of actions/decisions in real time: Big Data allows to obtain real-time visibility of operations, the behavior of people, transactions made, which facilitates the availability of information for analysis, the establishment of corrective measures etc.

· Have more information to make more and better decisions: Big Data itself generates new content and information that, when incorporated into the system, allow us to obtain new data, have more information and be more accurate in making decisions.

· Improve security in the processing of computer media: Big Data allows to establish mechanisms to locate anomalies and prevent attacks. A good management of the data obtained in the analysis will allow us to analyze hidden actions or relationships, detect patterns of behavior and prevent security threats. An aspect that is relevant to all fields but that is even more so in the field of people management.

Which are the sectors that most use Big Data?

· Finances: To have up-to-date and real-time information on the state of the national and international markets, on the primary and secondary conditions that may reveal a good business opportunity or on the detail of the risks that will be assumed in each operation that is plated.

· Insurance: The objective public of insurers is as broad and varied as the risks they assume with their business activity. Some risks that are drastically minimized through a correct use of Big Data tools: access to relevant data allows for cross-sectional and multivariable reports that provide information on health, claims and delinquency, among others.

· Sciences: From applications for natural sciences and the cosmos, such as astronomy, botany and geology, to functionalities that allow for detailed analysis of cases and offer more personalized treatments in the field of health sciences, through different economic and social sciences that benefit the most from the benefits provided by these data analysis tools -statistics, economics or sociology, among others.

· Sports: Analysis of the competition, design of the strategy of training and competition more convenient, and a long etcetera make especially indicated the analysis of data contained in Big Data in the sports sector, both professional and amateur.

· Culture: The knowledge of the tastes, tendencies and desires of the public potentially willing to consume their productions is crucial to design a good strategy.

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