Case Study: Shanghai University of Finance and Economics achieves faster data insights—cutting analysis time from weeks to days—with Tableau Software

SUFE transforms data analysis and visualization with Tableau

Shanghai University of Finance and Economics (SUFE), a leading Chinese research university with over 20,000 students, faced growing complexity as rising enrollment produced data from many departments and systems. The Office of Data Engineering and Analytics struggled with slow, spreadsheet-based workflows—often taking one to two weeks—to clean, analyze and present insights on enrollment, theses, student-teacher ratios, resource allocation and employment trends.

By adopting Tableau, SUFE’s analytics team created interactive, visually engaging dashboards that reduced analysis time from one–two weeks to one–two days for cleaned data sets. Tableau’s ease of use and low adoption barrier enabled broader staff training and faster, deeper insights, earning positive feedback from management and paving the way for wider campus adoption.

Shanghai University of Finance and Economics

Gao Liang

Data Engineer