Impact of Visualization Techniques on Non-Technical Users' Decision-Making in Business Intelligence
- Citation Author(s):
-
Siddhant Chopra
(Christ (Deemed to be University), Bangalore)
- Submitted by:
- Siddhant Chopra
- Last updated:
- DOI:
- 10.21227/rxk0-qz94
- Data Format:
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Abstract
This research paper focuses on the influence of visualization techniques on decision-making among
non-technical users in the field of Business Intelligence (BI). We explore how these platforms aid data
comprehension and enable a constructive decision-making process by examining various visualization
tools such as Power BI, Looker, and Tableau. The paper also investigates the role of emotionally driven
visualization, narrative visualizations, and aesthetic preferences in engaging users and enhancing their
understanding of complex datasets. Through case studies across multiple sectors like finance, healthcare,
education, and manufacturing, this study mainly highlights the significance of instinctive design, user
training, and the integration of emotional, narrative, and also aesthetic elements in visualization
techniques.
Instructions:
In this era of big data there are organizations that are overwhelmed with vast amounts of information.
Business Intelligence (BI) tools have emerged as essential resources for data analysis and decision
making. Although, non-technical users often struggle to navigate complex data environments,
mandatorily involving the use of effective visualization techniques to smoothen comprehension. Mainly
in this article the purpose is to investigate on how visualization techniques are affecting non-technical
users' decision-making processes and also the crucial role that emotive, narrative and artistic
visualizations play in this process.
