The figures are, at least, overwhelming.More than 3,400 million people connect Internet every day, every minute made 2.5 million searches every day information and can find up to 350 million new photos on the network. But what the phenomenon of Big Data means and to apply? What types of data and information collected? What kind of business is it useful?
The explosion of data, information and even documents that can be found on the network is infinite. Even personal data or data ourselves, almost, of any company. The technology for the analysis of this gigantic tangle of data that is growing is called Big Data, and behind it a market that 2020 is estimated to move around 60,000 million euros. Almost five years ago, in 2012, the size of the big data among a dozen terabytes to several petabytes of data in a single dataset was estimated. Today the figure is already impossible not to imagine, but experts are generated each day and nearly 3 trillion data.
When we talk about Big Data we refer to all types of data, as noted in this post 1and1 , hence its large size. It includes large sets of structured data, unstructured or semi-structured or what is the same, messages on social networks, signals of mobile, sensors, audio files, digital images, emails, form data, survey data, data they can come from sensors, cameras, scanners … but really, what applications really has the Big Data? The use of these data is extremely valuable to companies both in decision making and to improve operations or reduce risks and even to work to implement a customized marketing through Big Data . Of course the dilemma is to identify the so – called noise, that there is much, and use themwisely, contextualizing them to better use.
Big Data also helps businesses to get information from internal and external sources to assess and understand what is the best way to help your customers. The goal is to understand customer behavior and predict their future actions. Other applications are able to obtain real-time visibility of operations, customer experience, transactions and behavior; greater efficiency of operations; identify and investigate anomalies in companies or process large volumes of data to provide a detailed statement of the company’s knowledge. Besides the Big Data also helps to establish different mechanisms to locate anomalies and prevent security attacks; analyze data in motion and at rest to find associations or uncover patterns; to prevent and mitigate cyber attacks in real time; analyze network traffic; combat cyberterrorism and even analyze network data telecommunications and social networks to detect threats and anticipate the criminals before they act.
Today companies consider critical Big Data for digital transformation , whether the sector to be. From banking, communications, consumer goods and services, energy suppliers, health, insurance, education, marketing, research, communication industry and even applies to small businesses face to become more competitive. But they must also be aware of the risks associated with its implementation, as well as guidelines to ensure compliance with privacy laws and regulations. Many experts believe that the feared risks and imminent dangers of Big Datahappen because these are used improperly or ethical boundaries are transferred and legal. Establish guidelines and mechanisms to protect the privacy and rights of individuals should be a priority.