A Service-oriented Architecture for Business Intelligence

Liya Wu, Gilad Barash, C. Bartolini
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引用次数: 109

Abstract

Business intelligence is a business management term used to describe applications and technologies which are used to gather, provide access to and analyze data and information about the organization, to help make better business decisions. In other words, the purpose of business intelligence is to provide actionable insight Business intelligence technologies include traditional data warehousing technologies such as reporting, ad-hoc querying, online analytical processing (OLAP). More advanced business intelligence tools - such as HP Openview DecisionCenter - also include data-mining, predictive analysis using rule-based simulations, Web services and advanced visualization capabilities. In this paper we describe a service-oriented architecture for business intelligence that makes possible a seamless integration of technologies into a coherent business intelligence environment, thus enabling simplified data delivery and low-latency analytics. We compare our service-oriented approach with traditional BI architectures, illustrate the advantages of the service oriented paradigm and share our experience and the lessons learned in architecting and implementing the framework.
面向服务的商业智能体系结构
商业智能是一个业务管理术语,用于描述用于收集、提供访问和分析有关组织的数据和信息的应用程序和技术,以帮助做出更好的业务决策。换句话说,商业智能的目的是提供可操作的洞察力。商业智能技术包括传统的数据仓库技术,如报告、特别查询、在线分析处理(OLAP)。更高级的商业智能工具——如HP Openview DecisionCenter——还包括数据挖掘、基于规则的模拟预测分析、Web服务和高级可视化功能。在本文中,我们描述了用于商业智能的面向服务的体系结构,它使技术无缝集成到一致的商业智能环境中成为可能,从而实现简化的数据交付和低延迟分析。我们将面向服务的方法与传统的BI架构进行比较,说明面向服务范式的优点,并分享我们在架构和实现框架方面的经验和教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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