Bank information management system and bank information management method based on big data cascading

Abstract

The invention discloses a bank information management system and method based on big data cascading, and the method comprises the steps: automatically obtaining preset target domain data from a data window, wherein the preset target domain data comprises teller data, website data and branch data; constructing a teller portrait model according to the teller data; constructing a website portrait model according to the website data and the teller portrait model; and constructing a branch portrait model according to the branch data, the website portrait model and the teller portrait model. A batch management method is used in the data processing level, so that the working efficiency is greatly improved, and the operation risk is reduced. Three function modules including a teller portrait, a branch portrait and a branch portrait are constructed on a whole bank early warning analysis level, and by integrating and applying transaction data of current business systems, a cascaded data analysis application is established to improve fine management and efficiency of operation work.

Description

technical field [0001] The invention belongs to the technical field of bank information management, and in particular relates to a queuing reservation system and method for banking services, a computer-readable storage medium, and computer equipment. Background technique [0002] In the past, the bank's intelligent operation management information system adopted the traditional manual management method, which often required a lot of time and cost in the face of massive data. Big data processing technology has been maturely applied to the operation management information system. The current mature technical framework includes Teradata's dynamic enterprise data warehouse Active EDW, which mainly focuses on the underlying data storage and data processing; IBM's bank The business system management solution relies on the SPSS Clementine data mining platform and the Cognos Analytics data visualization analysis tool to develop a set of data management models. [0003] There are so...

AI Technical Summary

Problems solved by technology

First of all, my country's bank organizational structure adopts a generalized organizational structure based on regional management. There are many business outlets, tellers and large businesses. Different tellers in different institutions handle countless different businesses every day. Traditional technology The means can no longer support massive data, and the method of manually importing data will bring expensive labor costs; secondly, there are problems such as scattered data, low efficiency, and insufficient data analysis in the decentralized operation management calculation method

The branch's overall corporate management decision-making and instructions and early warnings are not linked to the institution's outlets, tellers and businesses. The portrait model based on big data mining and visualization is missing, and the targeting and accuracy of leadership project strategies in corporate management need to be improved.

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