Big Data is concept hard to graps. Although no exact definition can be given to this term, it refers to a very large data set, worth millions of terabytes, and which cannot be truly processed by conventional database management tools or data processing.
What you need to know as a business is that big data serves us in everyday life more than we realize. These are resources characterized by the use of specific technologies that generate value. There are two categories (analytical and operational).
A few weeks ago we published an article on what you need to know about big data as a business, this week we are talking about how it's part of our everyday lives. From entertainment to finance to health, safety and transportation, this is how Big data is spread into our daily life.
Streaming platforms (films, series, video games, music) use Big Data to suggest content to their users tailored to their preferences. They use this big data to verify the content with which each user usually interacts in order to offer them similar content.
For example, Spotify uses big data to collect data from its users around the world and analyze it in order to be able to offer individually targeted playlists.
Big Data also allows e-merchants to collect information on purchasing behavior in order to analyze and know what to offer them as a new item or product. It allows the retailer to perform analytical actions by checking your history (purchase, navigation, research) to optimize their marketing. With massive amounts of data, they don't just look at your history. They compare them to purchases made by other users by suggesting new items they can buy. Big Data truly enables retailers to display products that are likely to appeal to the user, thereby making shopping more convenient.
Big Data has now facilitated the digitalization of medical records, to a point where patients can provide their records online and receive remote medical follow-up. This allows for better sharing of health-related information in order to gain insight into the risks of different diseases that may arise and to plan solutions. The patient then no longer needs to go to an office before being consulted by his doctor.
Mobile applications or software are now available to store and save patient medical information in order to keep track of it. With Big Data, healthcare professionals are able to predict and reduce the capacity for the spread of several high-risk epidemic diseases in a given region.
In the field of security, it can be used by the police force to prevent possible crimes that may arise. Using this technology, the police can determine the most common crimes and develop the strategies to be put in place to limit them. It can identify areas with high crime rates, the location of the next attack by criminals.
The other advantage is that Big Data allows firefighters to predict places at risk that could result from fires. This brings to the attention of the population the necessary information that can help reduce risks. Big Data also helps prevent natural accidents and disasters.
Big Data is used to control traffic, plan routes, forecast traffic conditions and develop smart phone road maps. It's also used in revenue management, technology improvement, logistics and competitive advantage. In addition, its individual use is to plan the route in order to save fuel and predict the duration of transport.
Banking services use Big Data to secure the use of credit cards and to control whether the various transactions carried out are made by the account holder or not. All of this big data in the banking industry is collected and applied by powerful computer software that can detect suspicious activity such as unusual amounts withdrawn at unusual times.
For example, Personetics, a data-driven platform, uses artificial intelligence to help banks provide personalized advice and information to customers.
There are many definitions of the term big data, but the most important thing to remember is that Big Data today is distributed data. This means that the data is too large to be stored or processed on a single node. While it may seem like a very difficult equation to solve due to its complexity in understanding its use, however, the basics of this technology need to be known.
To learn more about Big Data and to read our latest article on the subject, visit our website! Do not hesitate to contact us to learn more about our services and for a quote, we look forward to hearing about your projects!