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Why visualize library data? Why invest in purchasing, installing, and learning data visualization software and tools? Why can’t we just use Excel? Tableau is a data visualization and analysis software that improves decision-making by giving libraries the ability to query, blend, explore, discover, and then analyze and present data in new and compelling ways. Tableau helps librarians to rapidly “see and understand their data” using an intuitive drag and drop interface and a powerful data engine. Tableau shifts ownership of analytic work from an expert in IT or data analysis to the average user, allowing librarians to join and manipulate both small and large sets of data from multiple databases, Excel spreadsheets, and more. The software offers librarians a flexible platform to create several styles of graphs or views, and then assemble these views into a story that articulates a library’s contributions to the communities they serve. With one tool, some knowledge, and a small amount of training, librarians may tap into volumes of strategic and operational data to craft beautiful, yet informative data visualizations that examine everything from the use of library e-resources or services, to the depth of library collections on a particular topic. This article shares three examples of ways The Ohio State University (OSU) Libraries has applied Tableau to library data. The first illustrates a mechanism to interactively surface and promote library collections in concert with the marketing and promotion of library programming. The second shows how blending library data from multiple sources may inform digitization priorities for library special collections. The third allows librarians to better understand the results of a user satisfaction survey using filters to interact with the survey results.

How data visualization supports academic library assessment: Three examples from The Ohio State University Libraries using Tableau