The so-called big data refers to the amount of information involved in the scale is so large that it can not be achieved through the current mainstream software tools, in a reasonable time to capture, manage, process, and organize the information to help customers make decisions for a more positive purpose; Victor pointed out in the "era of big data," the advent of the era of big data so that for the first time, human beings have the opportunity and the conditions, in a very large number of fields and a very in-depth level of access to and the use of comprehensive data, complete data, and systematic data, to acquire knowledge that was previously impossible to acquire. Big Data has three concepts different from the previous ones - "correlation thinking, whole data, and mixed thinking", i.e., Big Data emphasizes correlation thinking instead of causation thinking, and pays attention to whole data instead of focusing on random cases, and its thinking emphasizes mixed thinking instead of precision thinking. The thinking also emphasizes mixed thinking and not precision thinking.

Currently, the collection and evaluation of cadres' information focuses on samples, sources and accuracy, and the channels are relatively single and the amount of information is small, and the results often cannot reflect the situation of a cadre in a comprehensive way, which leads to cadres' "promotion with disease" or incompetence in their jobs. Personally, I think, you can use the concept of big data and modern information technology, the establishment of an all-round examination and assessment of cadres of information collection and evaluation of the use of the system, that is, cause and effect thinking and correlation of thinking to go hand in hand, the focus on random samples and the discovery of the use of all the data to be balanced, not only accustomed to fine thinking but also accustomed to using chaotic thinking.