Best Practices for Culturally Sensitive Data Visualizations

Michael Gendron, Christopher Hutwelker and Krzysztof Kisz
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Michael Gendron: Central Connecticut State University, New Britain, CT, USA
Christopher Hutwelker: Central Connecticut State University, New Britain, CT, USA
Krzysztof Kisz: Central Connecticut State University, New Britain, CT, USA

International Journal of Business Intelligence Research (IJBIR), 2016, vol. 7, issue 2, 1-19

Abstract: Organizations are undergoing significant changes in their business environment. Competing on a global scale means that organizations must better understand cultural issues of their customers, employees, and key stakeholders. As business analytics grows in importance, managers are sharing data visualizations to a variety of different cultures and beliefs. When creating culturally sensitive data visualizations, a set of best practices is required to assist managers to make timely and accurate decisions with the least possible cultural bias. This article aims to develop these best practices by analyzing cultural traits, communication habits, and other differences between the western and eastern global regions.

Date: 2016
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