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The role of GenAI in data analysis for Dutch SMEs

Lenting, Thijs J. (2025) The role of GenAI in data analysis for Dutch SMEs.

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Abstract:In the continuously evolving data analysis environment, Small and Medium-sized Enterprises (SMEs) face many challenges. Alongside this, the rise of AI, specifically GenAI, can potentially drive significant changes in how business operates. The existing literature lacks a comprehensive overview of the use of data analysis and the role of GenAI within SMEs, which this article addresses and provides a model that illustrates how GenAI could be used within companies possessing distinct phases of data analysis. The results show most of the companies are between diagnostic and predictive analysis. Most of the SMEs have time, knowledge and/or capacity constraints to progress further, something that GenAI and consultancy can both support, although GenAI will reduce the need for consultancy. GenAI is a promising technology and proposes interesting cases like coding assistance, and as a creative assistant, which could partially allocate time, capacity and knowledge constraints. Where companies in the beginning phase of data analysis could mainly resist on coding and GenAI as a creative assistance, further on integration into systems and the use for efficiency purposes becomes more crucial. However, companies need to use GenAI, they need to be cautious and don’t rely blindly on the output GenAI provides.
Item Type:Essay (Master)
Clients:
Mount Data B.V., Enter, The Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:54 computer science, 85 business administration, organizational science
Programme:Business Administration MSc (60644)
Link to this item:https://purl.utwente.nl/essays/106203
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