Firstly introduce the benefits brought by big data and then introduce the disadvantages brought by big data.
Benefits brought by big data
1, big data to facilitate our lives:
Self-service payment of water, electricity, gas, TV bills, car shaking, cell phone recharging, violation of rules and regulations, provident fund query, cell phone invoicing, querying the progress of the court case, which is a typical example of the use of big data to promote the assurance and improvement of people's livelihood. In addition, big data is also used in the smart home, intelligent lighting system.
2, big data to facilitate access to medical care:
The most powerful application of big data is the collection of electronic medical records. Every patient has his or her own electronic record, including personal medical history, family medical history, allergies, and all medical test results. Big data collection of patient information allows for early detection of illnesses, which for patients not only reduces the risk of compromised health, but also enables them to reduce healthcare expenditures.
Another innovation is the use of wearable devices that report on a patient's health in real time. These new analytics devices have the same functionality, but can be used outside of a healthcare facility, reducing healthcare costs and allowing patients to be informed of their health at home, while also receiving treatment recommendations from their smart devices.
3, big data to facilitate my travel:
People's travel more and more inseparable from the assistance of big data, the use of electronic maps, first-time tourists can be in the rusty city free walking; busy day of office workers can query the fastest way to go home to the traffic method; cab drivers through the voice of the navigation, know the distance ahead of the situation, to prevent traffic jams or speeding violations.
Big data is still a powerful tool to ease traffic pressure, it can guess the future traffic conditions, to improve the traffic situation to provide an optimization program, which helps the traffic department to progress on the journey of the traffic control capabilities, to prevent the easing of the solution to the traffic congestion.
4, the use of big data to improve their own:
Big data skills can not only improve the efficiency of the use of data, and can realize the reuse of data and reuse, which greatly reduces the transaction costs, to enhance the development of people's self-potential space.
Drawbacks of big data
1, personal data privacy and security
Big data will record browsing habits, purchasing habits, commonly used Taobao Alipay these software people, spending power, shopping habits, activities and places of production, income, quality of life, age, height, weight, shoe size, three circumference, tastes, etc., can be analyzed, and these are basically encompassed by our lives.
Personal data security becomes a big issue, and once the data is leaked (or bought and sold), it may pose a threat to the user's personal property, and the security of the country and the company.
2, big data to kill maturity
Kill maturity, that is, the same goods or services, old customers see the price instead than new customers to be much more expensive.
Including drip travel, Ctrip, Flying Pig, Jingdong, Meituan, Amoy Ticket and many other Internet platforms have been exposed to the suspected existence of "kill familiar" situation, covering online travel, online ticketing, online shopping, transportation and travel and other areas, especially OTA (Online Travel Agent) online travel platform is more prominent. The OTA (Online Travel Agent) online travel platform is more prominent.
The value of big data
1, many customers to supply products or services to the enterprise can use big data for precision marketing.
2, do small and beautiful form of small and medium-sized enterprises can use big data to do service transformation.
3, the face of the Internet under pressure, the need to transform the traditional business needs to keep pace with the times to fully utilize the value of big data.
In the current era of "big data", people may be subject to big data loss. Big data analytics involves linking and analyzing large amounts of data from multiple sources to discover patterns that predict human behavior. Even when perfectly legal, such analysis can hurt people.