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Design And Implementation Of Supervision To Bank System Based On Data Warehouse

Posted on:2017-01-26Degree:MasterType:Thesis
Country:ChinaCandidate:T J ZhouFull Text:PDF
GTID:2308330485984648Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the maturing of financial system of China and the rapid increasing of business risks, while facing the impact of Internet banking and the large data, to analysis the business data analysis is particularly important to bank. With the development and perfection of data warehouse technology and become, bank account information and transaction of business data analysis put forward higher requirements. By establishing of financial data warehouse system and the standardization in data governance and data quality, which improved regulatory efficiency and accuracy of statistical indicators, and meet the further requirements of financial supervision and risk control indicators.This essay discuss on the basis of building a data warehouse by using online analysis or data mining tools to extract and analysis core banking systems and related business data, which submit the banking supervision statistical analysis, also calculate multi-channel data bank of statistical analysis and trend. Through the establishment data marts for departments or specific business-oriented, which complete the report on banking supervision system design and implementation. In addition, detail discussion of local commercial bank-specific function has been carried out, to statistically analysis the system for bank management and business analysis information provided by departments, in order to adjust business decisions in a timely manner.Report on banking supervision system by basing on data warehouse design and implementation, which accumulated valuable experience in building data warehouse of the Bank on the one hand, on the other hand which also improves Bank regulatory data analysis capabilities for the future improve enterprise-wide data warehouse and speed up data analysis and financial data standards lay the Foundation.
Keywords/Search Tags:Data warehouse, OLAP, Data mining, Banking supervision
PDF Full Text Request
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