Even though we live in such a data driven world with a plethora of visualizations thrown at us, challenges still exist with how we can use this data in a meaningful way. In the article, “Feminist Data Visualization,” several questions are proposed about the exploration of data and how we can best use data to be effective but also efficient. In the section titled, Design Process Questions, the authors propose the idea of many excellent considerations while conducting research. For example, they discuss questions like:<\/p>\n

How is power distributed across the design team? Whose voice matters more and why? How can end users\u2019 voices be more fully integrated into the design process? Can we build capacity in user communities, or enlarge our internal perspectives, by employing a more participatory design process?<\/p>\n

Despite the focus of this article being about feminist data visualization, these data driven questions and solutions can be applied to almost anything in the growing business analytics field. This article did bring forth a lot of key thoughts to consider when using data and am excited to dig deeper into these questions during class. When reading other blog posts, I came across a post by BL about some of the same challenges with visualization. They talk about how “data can very much be subjectively created, and in doing, can be altered depending on how it is chosen to be recorded. It supports the importance of the role of data in telling \u00a0story, and questions some more traditional ways that we have been doing so.”<\/p>\n

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Even though we live in such a data driven world with a plethora of visualizations thrown at us, challenges still exist with how we can use this data in a meaningful way. In the article, “Feminist Data Visualization,” several questions are proposed about the exploration of data and how we can best use data to … <\/p>\n

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