Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/117942
Title: Strategic insights : navigating business intelligence implementation : phases, tasks, and risks : a case study on an international manufacturing company
Authors: Hillebrandt-Szymańska, Klaudia
Piotrowska, Dorota
Błaszczyk, Artur
Statucki, Jakub
Keywords: Business intelligence -- Data processing
Business intelligence -- Case studies
International business enterprises
Manufacturing industries -- Technological innovations
Decision support systems
Manufacturing industries -- Management
Issue Date: 2023
Publisher: University of Piraeus. International Strategic Management Association
Citation: Hillebrandt-Szymańska, K., Piotrowska, D., Błaszczyk, A., & Statucki, J. (2023). Strategic insights : navigating business intelligence implementation : phases, tasks, and risks : a case study on an international manufacturing company. European Research Studies Journal, 26(4), 865-888.
Abstract: PURPOSE: This article aims to present a comprehensive case study of implementing a business intelligence system in the manufacturing company. Therefore, a comprehensive understanding of key implementation aspects and associated risks is vital for meticulous planning before investing in information systems.
DESIGN/METHODOLOGY/APPROACH: Through qualitative research, the study will identify the main implementation phases, assign key tasks, and highlight the potential risks encountered during the process. By examining the case study, readers can gain insights into the effective implementation of a business intelligence system in manufacturing company, enabling them to better navigate similar ventures a significant input for researchers to create an implementation model.
FINDINGS: Having accurate and timely information is a crucial asset for businesses, influencing their competitive advantage. Information is essential for decision-making, enabling organizations to identify opportunities, threats, strengths, weaknesses, and changes. Business Intelligence (BI) solutions cater to these needs by automatically transforming data into actionable information. However, due to the wide array of tools available in the market, the implementation process of BI can be complex.
PRACTICAL IMPLICATIONS: The findings from this article's case study can serve as a foundation for proposing an implementation model for business intelligence systems.
ORIGINALITY/VALUE: By analyzing the challenges, key phases, and risks identified in the case study, future research can develop a structured framework or model that outlines the necessary steps, considerations, and best practices for implementing BI systems specifically tailored to manufacturing industries.
URI: https://www.um.edu.mt/library/oar/handle/123456789/117942
Appears in Collections:European Research Studies Journal, Volume 26, Issue 4

Files in This Item:
File Description SizeFormat 
ERSJ26(4)A66.pdf412.72 kBAdobe PDFView/Open


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.