人工智能-数据挖掘-银行个人贷款客户数据挖掘分析.pdf
版权申诉
5星 · 超过95%的资源 27 浏览量
2022-06-29
12:13:10
上传
评论 3
收藏 3.94MB PDF 举报 
ABSTRACT
Along with the acceleration of economic globalization process and the
advancement of financial markets’ reform, Bank industry of China is facing
unprecedented development opportunity, and also meet some pressure and challenges.
The promotions of transformation of operations development forms and detailed
management level appeared to be imminent. The bank has accumulated a large
amount of data after years of construction information system, but now the major
method of data using is still statistical report. The great value contained in the data has
not been fully reflected. How to improve the application level of the data deeply,
“Thought in data” in the business management and decision making, is a very
meaningful topic.
From the customer structure point of view, The customers of Personal loans in
S bank occupies an important position. Only from loan proceeds which brought by the
personal customers, the bank silver business have accounted for more than 40% of the
overall revenue at present. It also has not count Its derivative products and relative
products which bring more business receipts. This paper studies the customers of
Personal loans in S bank, it has designed the overall research and analysis framework
to Personal loans customer of a bank, and confirmed the relevant business processes
and analysis indicators. It introduces the overall architecture of S bank’s data
warehouse, metadata management, design and implementation of ETL, Construction
of multidimensional data model.This paper introduces in detail Construction
multidimensional data model of S bank which based on the data warehouse, and the
process of mining data s and analyzing data by a different SAS Enterprise Guide
algorithm. Finally, it discussed the personal loan customers of the different groups,
deeply, and given the advice of solution of customer loss, improvement of customer
loyalty, and marketing modes of each operating agency.
Key Words: Data Warehouse, Data mining, Bank, Structure of customers,
Association of Products
万方数据
剩余67页未读，继续阅读
资源评论
youyou06082024-03-06发现一个超赞的资源，赶紧学习起来，大家一起进步，支持！
