评估银行贷款催收绩效的商业智能

Karona Cahya Susena, Dita Madonna Simanjuntak, Parwito, Wardi Fadillah, Yulyardo, A. S. Girsang
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引用次数: 3

摘要

XYZ银行是万隆的一家银行,从借钱的客户那里获利。根据印尼银行(BI)的标准,如果一家银行有不良贷款(NPL)或价值超过5%,那么银行就会遭受损失。在这种情况下,银行必须有一个策略来降低这个值以保持稳定。银行XYZ关注收集器的性能,因为收集器是银行的核心。本案例研究的解决方案是在数据仓库和OLAP开发中使用商业智能。因此本文描述了数据选择的重要性,它可以帮助管理者做出决策,从而使绩效更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Business Intelligence for Evaluating Loan Collection Performance at Bank
Bank XYZ is a bank in Bandung that gets profit from customers who borrow money. According to Bank Indonesia (BI) standars, if a bank has a non performing loan (NPL) or a value above 5% so the bank suffers losses. In this case, the bank must have a strategy to reduce this value to be stable. Bank XYZ concern about performance of collectors because the collector is the core of the bank. The solution for this case study is using business intelligence carried on the data warehouse and OLAP development. So this paper describes how important the selection of data that can help managers to make decision so that performance can be better.
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