The quantity of electronic bank data grows exponentially with development of Information Technology (IT). The size of these data is impossible for traditional database and human analyst to come up with interesting information that will help in process of decision making. Management Information System (MIS) based Data warehouse (DW) and Data Mining (DM) techniques support the development of IT and process of management decision-making. But the traditional DW size make the query complex, which may cause unacceptable delay in decision support queries. Thus, in this paper an Efficient Electronic Bank MIS based DW and Mining Processing (EEBMIS-DWMP) was developed with cluster and non-cluster indexed view to provide decision-makers with both best response time and precise information. Also, analysis of the multilayer perception neural network, naïve Bayes, random forest, logistic regression, support vector machine and C5.0 on a real-world data of bank was done to improve effectiveness for campaign by analyzing the most useful features that influence campaign success. Results offer how the proposed EEBMIS-DWMP developed bank organizations by comparing performance of system with and without index view in terms of balance accuracy, accuracy, precision, recall, mean absolute error, root mean square error, F measure and running time. Conclusions from results offers that EEBMIS-DWMP can construct a database for each customer, a storage system that integrates data from a variety of sources into a single unified framework, decrease errors and time required to prepare financial reports, quickly access for information, analysis of data in multivariate, accurate prediction of competent, profitability segmentation.

随着信息技术（IT）的发展，电子银行数据的数量呈指数级增长。这些数据的大小对于传统数据库和人类分析师来说是不可能提供有助于决策过程的有趣信息的。基于管理信息系统 (MIS) 的数据仓库 (DW) 和数据挖掘 (DM) 技术支持 IT 开发和管理决策过程。但是传统的 DW 大小使查询变得复杂，这可能会导致决策支持查询出现不可接受的延迟。因此，在本文中，开发了一种基于高效电子银行 MIS 的 DW 和挖掘处理 (EEBMIS-DWMP)，具有集群和非集群索引视图，为决策者提供最佳响应时间和精确信息。另外，分析多层感知神经网络，朴素贝叶斯、随机森林、逻辑回归、支持向量机和 C5.0 对银行的真实数据进行了分析，通过分析影响活动成功的最有用的特征来提高活动的有效性。结果提供了所提议的 EEBMIS-DWMP 如何通过比较有和没有索引视图的系统在余额准确性、准确性、精确度、召回率、平均绝对误差、均方根误差、F 度量和运行时间方面的性能来开发银行组织。结果得出的结论表明，EEBMIS-DWMP可以为每个客户构建一个数据库，一个将来自各种来源的数据集成到一个统一框架中的存储系统，减少准备财务报告所需的错误和时间，快速获取信息，分析数据多元，准确预测胜任，