Data management method based on big data processing technology

Abstract

The invention relates to the technical field of data processing, and discloses a data management method based on big data processing technology, which comprises the following operation steps of 1, obtaining client information; 2, mining potential information of a client; and 3, exporting client information. The traditional data processing method is directly replaced; therefore, in the data processing process, timeliness is kept all the time, the combination of the previous information and the current information is ensured; the stored information in the database is ensured to be related to customers; enterprises can fully understand behavior habits of customers; an enterprise can autonomously select potential customers with relatively high values; and meanwhile, low-quality information inthe database is directly removed, so that information closely related to customers is reserved in the database, the value in the database is greatly improved, the database is associated with current data information, the data quality is guaranteed, and the timeliness of the data is greatly improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a data management method based on big data processing technology. Background technique [0002] With the rapid development of the computer and information industry, all kinds of data are expanding rapidly at an unimaginable speed, which has formed a huge pressure on today's enterprises. There are many kinds of data, difficult data retrieval, unknown data flow, and lack of data security. , data cannot be shared, etc., and the more serious situation is that data floods or a large amount of low-quality data is widely collected. [0003] With the development of the modern industry, a large amount of data has increased. Traditional big data management methods are gradually helpless with the increasing data and cannot obtain valuable users. When enterprises use data management methods, the data information collected and processed has a large decrease in value. On the one hand,...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of the computer and information industry, all kinds of data are expanding rapidly at an unimaginable speed, which has formed a huge pressure on today's enterprises. There are many kinds of data, difficult data retrieval, unknown data flow, and lack of data security. , data cannot be shared, etc., and the more serious situation is data flooding or a large amount of low-quality data being widely collected

[0003] With the development of the modern industry, a large amount of data has increased. Traditional big data management methods are gradually helpless with the increasing data and cannot obtain valuable users. When enterprises use data management methods, the data information collected and processed has a large decrease in value. On the one hand, these low-quality value information can confuse the potential information of users, and on the other hand, reduce the speed of data processing, resulting in the inability of the processed data to be updated in time, and the timeliness is greatly reduced. Customer information is seriously inconsistent, and the existence of a large amount of low-quality data information causes serious errors in the company's inference of customers, affects the company's judgment on potentially valuable users, and causes the loss of corporate interests

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