University of Twente Student Theses


Unleashing the potential of Business Intelligence & Analytics for SMEs in the Netherlands : A Comprehensive Analysis

Chamoun, Simon (2023) Unleashing the potential of Business Intelligence & Analytics for SMEs in the Netherlands : A Comprehensive Analysis.

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Abstract:In recent years Business Intelligence & Analytics (BI&A) technologies have grown in popularity, because SMEs seek to acquire a competitive edge through data-driven decision making. However, the specific ways in which BI&A influences SME performance and the challenges faced by SMEs in realizing the benefits of BI&A are still not well understood. To research this gap, this study will examine how SMEs in the Netherlands can leverage BI&A to enhance organizational performance and overcome potential challenges. A survey was conducted among SMEs in the Netherlands with 38 respondents, utilizing validated measures to assess performance indicators and challenges associated with the use of BI&A with. The analysis reveals that both BI&A users and non-users perceive a generally positive impact on performance indicators, although users have a more positive opinion. Despite challenges not being perceived as major problems overall, differences in perspectives are true. As SMEs become more involved and actively utilize BI&A, their perception of its potential challenges tends to decrease and their perception of BI&A impact on performance indicators tends to increase. Moreover, contrary to previous literature, the customer perspective appears to be lessimportantwhilethelearningandgrowthindicatorappearstobemostimportant. Basedon the analysis, the study suggests that SMEs should implement BI&A tools to enhance decision- making and operational efficiency, and non-users should explore its potential benefits. Recommendations include investing in training programs, promoting adoption, allocating sufficient budget and resources. To amplify this process, it is recommended to execute future research through case to gather real-world examples and insights into the usage of BI&A in SMEs, including in-depth, cross-sectional, and longitudinal studies, to optimize benefits, identify best practices, and assess sustainability and long-term effects.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:85 business administration, organizational science
Programme:Business Administration MSc (60644)
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