Big data is not just "big", the application value is incalculable

Since the birth of big data and is undergoing explosive development, now even non-IT industry personnel are familiar with the word. Big data has spread to scientific research, social management, health care, business intelligence and many other fields, some people have already proposed that big data has triggered a second data revolution, which not only changes the paradigm of scientific research to achieve quantitative social science research, but also will prompt a variety of social fields to produce a huge change. Big data analytics could be the key to mobile personalization in travel. a report released by Amadeus last fall showed that big data can help travel companies better meet customer needs by improving decision-making, driving product and service innovation, and enhancing customer relationships.

Many companies are now exploring the treasure that is the database in hopes of developing a new generation of mobile features and services that are must-haves in the minds of travelers. Travel companies Expedia, Orbitz, and others are actively utilizing big data to create a new generation of mobile experiences in a bid to get more orders from smartphone and platform computer users.

Big data can be used in a number of entertainment applications, such as combining social with music, and Twitter recently announced a partnership with 300Entertainment, a U.S.-based tech startup, to y analyze music-related content data. According to reports, 300Entertainment will work with Twitter to develop specialized software that will analyze Twitter's vast amount of music-related data, including netizens' comments on various musical works and artists, and Twitter will also provide non-public information including the geographic location of users' posts. The results of the data analysis will be provided to music artists, music companies and other industries, in addition to helping Internet users to discover new artists and works.

The TV industry has even used big data to create hit American dramas: through massive database research and analysis, we predicted the audience's preferences and tastes, and paired them with the plot, director, and cast to create House of Cards, which became a hit.

Of course, in addition to business and entertainment, the use of big data by the government can also reduce many security risks. The local fire department in New York recently analyzed the data in the database and listed 60 factors that could cause a fire, and then arranged the order of inspection. Through this way will effectively improve the efficiency of firefighters, change the previous firefighters only focus on schools, libraries and other places of fire hazards.

Like any new thing, big data has its pros and cons. In the case of the relevant laws have not been perfected, user privacy, security has become a problem. And although the advantages of big data are obvious, its wide range of applications and huge benefits seem to be within reach, is the process of using big data in the enterprise still need to distinguish for the actual situation. Because big data is, after all, by commercial organizations to take the lead and to promote the concept, in order to obtain more revenue in hardware and software products and information services, multinational information technology enterprises in the process of promoting the concept of big data also inevitably contains elements of hype. If you don't follow them blindly, you're likely to incur economic losses.

Some people describe big data as the future of the world's oil, and others claim that people with big data can look down on the world like God, including the U.S. government, which has elevated the study of big data to a national strategy. It is not an exaggeration to say that not only at the national level, but also in every corner of the world that is closely related to us, in fact, big data is entering our lives. The future value of big data is inestimable, it has become a resource that will reconfigure our society, applications and management. How to utilize big data, I'm afraid there is nothing you can't do, only you can't think of.

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