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The reason why big data information is difficult to use
Regarding the quality information in the era of big data, the incorrect description is that data information is difficult to use.

Quality information in the era of big data is characterized by relatively large data volume, diversified data, fast data transmission speed and high data value. A wide range of data sources determines the diversity of big data forms, and big data is produced very quickly, mainly through the Internet. In the data generated in the real world, the proportion of valuable data is very small. The greatest value of big data lies in mining valuable data for future trend and pattern prediction and analysis from a large number of unrelated types of data.

The deep integration of a new generation of information technology and quality management, represented by big data, produces quality big data, continuously improves the digitalization, networking and intelligence level of quality management activities of all factors, all value chains and all industrial chains in manufacturing industry, and accelerates the digital transformation of manufacturing industry.

In order to give full play to the basic supporting role of next-generation information technologies such as big data in quality improvement and help the high-quality development of manufacturing industry, the Key Laboratory of Big Data Industry and Information Technology Department of the Ministry of Industry and Information Technology and the Cyberthink Tank of the Fifth Institute of Electronics of the Ministry of Industry and Information Technology organized relevant units to compile the White Paper on Quality Big Data.

Characteristics of the era of big data

1, a lot. The characteristic of big data is "big" first. In the former Map3 era, a small MB Map3 can meet the needs of many people. But with the passage of time, the storage unit has changed from GB in the past to TB, even the current PB and EB levels. With the rapid development of information technology, data began to explode.

2. Diversity. A wide range of data sources determines the diversity of big data forms. Any form of data can play a role. At present, the most widely used recommendation systems are Taobao, Netease Cloud Music and Today's Headlines. These platforms will further recommend what users like by analyzing users' log data.

3. high speed. Big data is produced very quickly, mainly through the Internet. Everyone in life is inseparable from the Internet, which means that every day, individuals are providing a lot of information to big data every day. And these data need to be processed in time, because it is very uneconomical to spend a lot of capital to store historical data with little effect. For a platform, the saved data may only be in the past few days or a month, and the data far away must be cleaned up in time, otherwise the cost is too high.

4. Value. This is also the core feature of big data. Among the data generated in the real world, the proportion of valuable data is very small. Compared with traditional small data, the greatest value of big data lies in mining valuable data for future trend and pattern prediction and analysis from a large number of irrelevant data.