On the quality information in the era of big data, the description is incorrect that the data information is difficult to utilize.

Quality information in the era of big data is characterized by a relatively large amount of data, more diverse data, high-speed transmission of data, and the value of the data, a wide range of data sources, determining the diversity of the form of big data, the generation of big data is very rapid, mainly transmitted through the Internet, the proportion of valuable data in the data produced in the real world is very small, and the biggest value of big data is through the transmission from a large number of data sources. The greatest value of data lies in the data that is valuable for predictive analysis of future trends and patterns by mining from a large amount of unrelated data of various types.

The deep integration of the new generation of information technology and quality management represented by big data generates quality big data, which continuously improves the digitalization, networking and intelligence level of the quality management activities of the whole elements, value chain and industrial chain of the manufacturing industry, and accelerates the digital transformation of the manufacturing industry.

In order to give full play to the role of big data and other new-generation information technology on the basis of quality improvement support to help the manufacturing industry high-quality development, industrial equipment quality big data key laboratory of the Ministry of Industry and Information Technology in conjunction with the Ministry of Industry and Information Technology, the Fifth Institute of Electronic Saibao Think Tank to organize the relevant units to prepare the "quality of big data white paper".

Characteristics of the era of big data

1, a large number. The characteristics of big data are first reflected in the "big", from the first Map3 era, a small MB level of Map3 can meet the needs of many people, but with the passage of time, the storage unit from the past GB to TB, and even now the PB, EB level. With the rapid development of information technology, data began to grow explosively.

2, diverse. A wide range of data sources, determines the diversity of the form of big data. Any form of data can have a role, the most widely used is the recommender system, such as Taobao, NetEase cloud music, today's headlines, etc., these platforms will be analyzed by the user's log data, so as to further recommend the user's favorite things.

3, high speed. The generation of big data is very rapid, mainly transmitted through the Internet. Everyone in life can not live without the Internet, which means that every day individuals are providing a large amount of information to the big data every day. And these data is the need for timely processing, because spending a lot of capital to store the role of smaller historical data is very uneconomical, for a platform, perhaps save the data only the past few days or within a month, and then far away from the data should be cleaned up in a timely manner, otherwise the cost is too great.

4, value. This is the core feature of big data. A small percentage of the data generated in the real world has value. Compared to traditional small data, the biggest value of big data is through a large number of irrelevant data of various types, digging out the data that is valuable for predictive analysis of future trends and patterns.