 Business Intelligence DimensionsRimvydas Skyrius
Chapter Chapter 4 in Business Intelligence, 2021, pp 51-80 from Springer Abstract: Abstract This chapter discusses business intelligence (BI) dimensions—the degrees of freedom along the most important BI implementation features. BI dimensions are largely set by business dimensions for a given business entity. The existing variety of business dimensions and BI options creates a multidimensionality of choices that encompasses both the information space (information sources, accessibility, efforts, costs) and BI functional space (methods, models, procedures, software products). The most important BI dimensions discussed in the chapter are: internal and external focus; centralized and decentralized deployment; question complexity from simple to complex; functional scope from wide to narrow; level of automation of BI functions; data-driven to insight-driven; and real time to right time. For some of the dimensions, the results of earlier empirical research are provided. A compromise approach to select a BI system configuration is the use of tiered structure of informing environment, where the first, or closest tier would contain the simplest and most often used support tools, with the second (or more) tier providing the less-often used, and usually more advanced, support tools. Date: 2021 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-67032-0_4 Ordering information: This item can be ordered from DOI: 10.1007/978-3-030-67032-0_4 Access Statistics for this chapter More chapters in Progress in IS from Springer |
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