面向中小型企业的商业智能
Business Intelligence for Small and Middle-Sized Entreprises
摘要：
数据仓库是决策支持系统的核心，目前在世界范围内被各种企业广泛使用。虽然对小型企业决策支持系统的需求进行了大量的研究，但大多采用经验性的解决方案和方法，适合于大型企业，而不适合于中小型企业。小型企业需要廉价、轻量级的架构和工具（硬件和软件）来提供在线数据分析。为了确保这些功能，我们审查基于Web的商业智能方法。对于实时分析，传统的OLAP体系结构是笨重的，存储成本高，因此，我们也重新考虑内存中的处理。因此，本文讨论了现有的方法和工具，在内存和/或与Web接口（包括免费软件工具），相关的中小型企业的决策。
英文摘要：
Data warehouses are the core of decision support sys- tems, which nowadays are used by all kind of enter- prises in the entire world. Although many studies have been conducted on the need of decision support systems (DSSs) for small businesses, most of them adopt ex- isting solutions and approaches, which are appropriate for large-scaled enterprises, but are inadequate for small and middle-sized enterprises. Small enterprises require cheap, lightweight architec- tures and tools (hardware and software) providing on- line data analysis. In order to ensure these features, we review web-based business intelligence approaches. For real-time analysis, the traditional OLAP architecture is cumbersome and storage-costly; therefore, we also re- view in-memory processing. Consequently, this paper discusses the existing approa- ches and tools working in main memory and/or with web interfaces (including freeware tools), relevant for small and middle-sized enterprises in decision making.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
