Business Intelligence for Small and Middle-Sized Entreprises
Abstract
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.
Keywords
Cite
@article{arxiv.1102.0115,
title = {Business Intelligence for Small and Middle-Sized Entreprises},
author = {Oksana Grabova and Jérôme Darmont and Jean-Hugues Chauchat and Iryna Zolotaryova},
journal= {arXiv preprint arXiv:1102.0115},
year = {2011}
}