5S Dashboard Design Principles for Self-Service Business Intelligence Tool User

Author:

Lin Ching-Yi1,Liang Fu-Wen2,Li Sheng-Tun3,Lu Tsung-Hsueh4

Affiliation:

1. Institute of Medicine, Chung-Shan Medical University, Taichung, Taiwan.

2. Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.

3. Department of Industrial and Information Management, National Cheng Kung University, Tainan, Taiwan.

4. NCKU Research Center for Health Data and Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.

Abstract

Non–information technology (IT) professionals and nonexpert casual users are increasingly adopting self-service business intelligence (SSBI) tools (such as Tableau, Qlik, and Power BI) to create data visualization dashboards. This study identified the most relevant dashboard design principles for SSBI tool users. The research approach included organizing a focus group in which most of the participants were non-IT professionals in health care, extracting recommended principles from the literature, applying these recommended principles by using data on quality of diabetes care to design relevant dashboards, and proposing the following 5S dashboard design principle framework: 1) seeing both the forest and trees, 2) simplicity through self-selection, 3) simplicity through significance, 4) simplicity through synthesis, and 5) storytelling. The third and fourth principles are novel and provide solutions to decision-making problems (such as conflicting results from excessive and discordant indicators) encountered by health care professional in the public sector as well as in other domains. The 5S dashboard design principles are easily memorized and practical and thus enable non-IT professionals and nonexpert casual users to design insightful dashboards efficiently by using SSBI tools.

Publisher

Open Access Pub

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design Aspects for COVID-19 Dashboards – Evidence from Eye-Tracking Evaluation;International Journal of Human–Computer Interaction;2023-10-24

2. Design process and design evaluation of web-based visualization dashboard to monitor and support the decision-making of travel-related physical activity;Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments;2022-06-29

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