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How to do a good job of data management
One, recognize the importance of doing a good job of data management work, from the ideological importance of data management work

Do a good job of data management work on the bank's business management, has an important significance. Through the training, I changed the previous kind of "data management is to complete the information statistical reports and data organization" superficial understanding, a deep understanding of the rich connotation of data management work, especially big data analysis and channel construction and innovation to do a good job, do a deep and thorough work is not an easy thing, and do a good job of data management work is very significant for the bank. Banks are of great significance:

From the external point of view, doing a good job of data management is a strong guarantee to meet the requirements of information disclosure. At present, China has initially established a set of rules and regulations to regulate the disclosure behavior of listed banks, we need to strengthen data management, strictly in accordance with the requirements of the statistical management system of the external regulatory authorities to complete the various types of statistical reports, improve the quality of data, in order to meet the requirements of information disclosure.

Internally, good data management helps to improve the core competitiveness of the bank. The data management department can provide effective data information for leadership decision-making by organizing and processing the data, analyzing and mining the data to support and serve the business development of the whole bank. In particular, the current external requirements for the quality of bank data are becoming increasingly stringent, and the strategic transformation of the bank also requires data management work with a solid data base and strong analytical capabilities.

Second, to understand and master and implement the data management related systems and requirements, in order to do a good job of data management work to lay the foundation

Data management work, in addition to reporting all kinds of data and information statistical reports, the more important work should include effective processing of data and information and data control, big data promotion and application, research and analysis, and other aspects. We can only learn to master the data management system to be able to correctly implement the statistical management system, in order to improve the quality of data to lay the foundation.

System learning although there seems to be some boring, but these are we must comply with, from the national level, the state promulgated a series of data management related regulations and methods, such as: "Statistics Law", "Financial Statistics Management Provisions", "Interim Measures for Banking Supervision and Statistical Management", "Regulations on the Administration of the Credit Industry". Especially in this training, Deputy General Manager Liu Gangfu repeatedly emphasized that we have to carry out credit collection work in compliance with the law, and if there is any violation of the regulations on the use of personal information not in accordance with the purpose agreed with the subject of personal information or the provision of personal information to a third party without the consent of the subject of personal information, and the situation is serious or has caused serious consequences, we will be fined by the authorized authorities; if it constitutes a crime, we will be investigated for criminal responsibility in accordance with the law. "Knowing the rules and regulations is the only way to enforce them". Only by conducting financial statistics and standardizing financial statistical activities in accordance with the law can commercial banks ensure that the entire financial statistical activities are carried out in an orderly and effective manner. In addition to the relevant laws and regulations issued by the state, we also need to grasp the internal development of CCB issued by the various systems and regulations, and strictly comply with the implementation of the quality of data and information and customer information security.