Using Business Intelligence in IT Governance Decision Making
| Autor: | Arisa Shollo |
|---|---|
| Přispěvatelé: | Copenhagen Business School [Copenhagen] (CBS), Markus Nüttgens, Andreas Gadatsch, Karlheinz Kautz, Ingrid Schirmer, Nadine Blinn, TC 8, WG 8.6 |
| Rok vydání: | 2011 |
| Předmět: |
Decision support system
Knowledge management Decision engineering Competitive intelligence business.industry [SHS.INFO]Humanities and Social Sciences/Library and information sciences Marketing and artificial intelligence decision making R-CAST predictive analytics case study Business Intelligence strategic decisions Business analytics Business decision mapping Business intelligence [INFO]Computer Science [cs] Business |
| Zdroj: | Governance and Sustainability in Information Systems. Managing the Transfer and Diffusion of IT ISBN: 9783642241475 Governance and Sustainability in Information Systems IFIP Advances in Information and Communication Technology Governance and Sustainability in Information Systems: Managing the Transfer and Diffusion of IT (Working conference) Governance and Sustainability in Information Systems: Managing the Transfer and Diffusion of IT (Working conference), Sep 2011, Hamburg, Germany. pp.3-15, ⟨10.1007/978-3-642-24148-2_1⟩ |
| DOI: | 10.1007/978-3-642-24148-2_1 |
| Popis: | Part 1: Governance; International audience; ‘Business Intelligence’ (BI) has been widely used to describe the process of gathering, analyzing and transforming large amounts of data into information useful for decision making. This paper examines BI from a decisionmaker’s perspective in an IT governance context through a case study of a large Scandinavian financial institution. The key findings indicate that BI is primarily used to inform structured operational decisions and as an instrument for dialogue in unstructured strategic decisions. Our study shows how ‘hard facts’ provided by BI are used as a foundation for opening a dialogue and as a supporting instrument to make arguments seem more convincing during decision-making discussions. We also found that standard performance reporting is used more for operational decision making, whereas predictive analytics are utilized primarily in strategic decision making. These results can assist managers looking to improve their operational and strategic decision-making processes by indicating the appropriate type of BI for each type of decision. |
| Databáze: | OpenAIRE |
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