基于数据仓库的决策分析系统技术研究

在构建决策分析系统过程中,采用计算列方法和视图法进行数据变换与清洗,选择多维OLAP、关系OLAP、混合OLAP存储模式对提升决策分析系统性能有很大的作用。     

A hybrid approach to building a multi-dimensional business intelligence system for electricity grid operators

This paper proposes a new methodology for building multi-dimensional data-warehousing and business intelligence systems for utility companies. The proposed approach can be used by any utility company that wishes to take advantage of the principles and recommendations gained through a critical analysis of the Kimball and ASAP methodologies. The results show that this new approach can be incorporated as a cornerstone for business intelligence systems operating in a data-rich environment. It can be successfully designed and used for various reporting purposes of various business segments of an organization. The approach was tested by applying it to electricity market analysis of the Serbian energy transmission system and market operator “Elektromreža Srbije” in the context of smart-grid technologies.     

基于数据仓库的企业管理决策支持系统

本文首先讨论基于数据仓库的决策支持系统的优越性,给出一种实现模型。并就建立数据仓库的关键技术进行讨论。提出一种新的实现数据清洗和过滤的方法,并且比较数据立方体的三种存储模型,最后给出量化结果。     

电信经营分析系统初探

简述了电信经营分析系统的体系结构和功能，分析了经营分析系统的主要技术实现和发展方向。