Business Intelligence Technologies

Rimvydas Skyrius
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Rimvydas Skyrius: Vilnius University

Chapter Chapter 7 in Business Intelligence, 2021, pp 145-185 from Springer

Abstract: Abstract As BI technologies are covered in great detail in many sources, this chapter is more of an overview nature. Its goal is to cover the landscape of the most important BI technologies regarding their placement in BI value chain, and to expose their most important benefits and limitations. The technologies reviewed in this chapter are: data collection and storage; multidimensional data analysis and OLAP; self-service tools; business analytics including data mining and Big Data analytics; modeling and simulation; text analytics; presentation and visualization; artificial intelligence (AI) and machine learning (ML); communication and collaboration platforms; and technology deployment issues. The field is developing rapidly, and it is nearly impossible to keep up with the latest innovations in a book that takes time to be published. For example, artificial intelligence technologies currently are experiencing a substantial rise; however, the corresponding paragraph in this chapter is rather brief—there are many sources that can give much more detailed descriptions and explanations. Some of the established BI technologies, however, have firmly found their place in corporate information activities, and the author hopes that their coverage in this book is sufficiently complete.

Date: 2021
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DOI: 10.1007/978-3-030-67032-0_7

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