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This paper shares the Georgia Southern University Library’s experience of LibQUAL in user-centered and service-oriented academic learning environment. On the basis of reviewing the library literature on LibQUAL, this study presents the process of data analysis and data visualization for academic library assessments. Using the 2016 LibQUAL Survey at the Georgia Southern University Library as a sample, this study illustrates basic methods of analyzing and interpreting the LibQUAL Survey Raw Data and User Response Raw Data saved in Excel files. Also mentioned in this study are other common statistical tools and a set of general procedures, including data analysis, data validation, data migration, data mining, and data visualization, for academic library assessments to identify patron needs and satisfactory factors.