Harlan, LydiaBuxton, KristinHayden, Gabriele2024-08-062024-08-062024-05https://hdl.handle.net/1794/29677Presentation slides represented in 34 page PDFLooking to establish a current and reproducible cost per use analysis for continuing resources, three members of University of Oregon Libraries explored ways to ingest, store, and visualize cost and usage data. Our presentation describes how we developed a pipeline using Alma, COUNTER5, SUSHI, APIs, Python, and Power BI to create an easily refreshed dashboard for collections assessment. Our tool shifts the time investment from manually harvesting usage statistics to interpreting the data and sharing it with stakeholders. By establishing this automated pipeline, we created an up-to-date dashboard and reproducible model that we can share with others and improve upon in future permutations. We hope that attendees of this presentation will feel inspired to use visualization to tell stories and become curious about constructing a data pipeline of their own.enCreative Commons BY-NC-ND 4.0-USPresentation