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Article

Business Intelligence for IT Governance of a Technology Company

1
Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy
2
FSTechnology, Piazza della Croce Rossa 1, 00161 Rome, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Francisco Guijarro
Received: 9 November 2021 / Revised: 13 December 2021 / Accepted: 15 December 2021 / Published: 27 December 2021
(This article belongs to the Section Information Systems and Data Management)
Managers are required to make fast, reliable, and fact-based decisions to encompass the dynamicity of modern business environments. Data visualization and reporting are thus crucial activities to ensure a systematic organizational intelligence especially for technological companies operating in a fast-moving context. As such, this paper presents case-study research for the definition of a business intelligence model and related Key Performance Indicators (KPIs) to support risk-related decision making. The study firstly comprises a literature review on approaches for governance management, which confirm a disconnection between theory and practice. It then progresses to mapping the main business areas and suggesting exemplary KPIs to fill this gap. Finally, it documents the design and usage of a BI dashboard, as emerged via a validation with four managers. This early application shows the advantages of BI for both business operators and governance managers. View Full-Text
Keywords: enterprise data management; business intelligence; data-driven decision making; governance management enterprise data management; business intelligence; data-driven decision making; governance management
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MDPI and ACS Style

Biagi, V.; Patriarca, R.; Di Gravio, G. Business Intelligence for IT Governance of a Technology Company. Data 2022, 7, 2. https://doi.org/10.3390/data7010002

AMA Style

Biagi V, Patriarca R, Di Gravio G. Business Intelligence for IT Governance of a Technology Company. Data. 2022; 7(1):2. https://doi.org/10.3390/data7010002

Chicago/Turabian Style

Biagi, Vittoria, Riccardo Patriarca, and Giulio Di Gravio. 2022. "Business Intelligence for IT Governance of a Technology Company" Data 7, no. 1: 2. https://doi.org/10.3390/data7010002

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