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Research On Customer Relationship Management Based On Big Data Of A Branch Of The Bank Of China

Posted on:2017-01-09Degree:MasterType:Thesis
Country:ChinaCandidate:W CuiFull Text:PDF
GTID:2279330488493427Subject:Business Administration
Abstract/Summary:PDF Full Text Request
With the rapid development of the social market economy, our banks of all levels in China have been faced with large challenges during the long developing process. From the analysis of the international environment in our banks of China, we have a large gap between the current service levels and managerial systems compared with some other big banks in the world. And actually, they can hardly follow the present development levels due to the fact that some need to improve. In addition, all banks begin to realize their shortcomings and the importance of managerial work towards the customer relationship.The management of the customer relationship in the bank based on the big data can promote and improve the various management mechanisms in domestic banks, ensuring that its operation is safe and reliable. However, its deficiencies demands to make scientific and reasonable treatment scheme, solve the problems effectively and promote the sustainable development of domestic banks. Therefore, it has great practical significance to the future development of the domestic banks.This paper sums up the management of bank customer relationship based on big data, discusses the current situation of the domestic bank customer relationship management and the existing problems. According to ZG bank and G branch in the specific case of data mining(marketing), This paper also analyses deeply the specific content and puts forward a new thinking of the bank customer relationship management based on big data so that it puts forward the improvement strategy of the ZG bank G branch bank customer relationship management based on big data, and make its level improve under the big data environment.
Keywords/Search Tags:marketing, Customer relationship management(CRM), Big data
PDF Full Text Request
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