Cost per Use in Power BI using Alma Analytics and a Dash of Python Authors Lydia

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dc.contributor.authorHarlan, Lydia
dc.contributor.authorBuxton, Kristin
dc.contributor.authorHayden, Gabrielle
dc.date.accessioned2025-02-17T22:05:17Z
dc.date.available2025-02-17T22:05:17Z
dc.date.issued2024
dc.description10 pages, Appendix A - 8 pages
dc.description.abstractA trio of personnel at University of Oregon Libraries explored options for automating a pathway to ingest, store, and visualize cost per use data for continuing resources. This paper presents a pipeline for using Alma, SUSHI, COUNTER5, Python, and Power BI to create a tool for data-driven decision making. By establishing this pipeline, we shift the time investment from manually harvesting usage statistics to interpreting the data and sharing it with stakeholders. The resulting visualizations and collected data will assist in making informed, collaborative decisions.
dc.identifier.orcid0000-0001-6957-1942
dc.identifier.orcid0000-0002-1693-7039
dc.identifier.orcid0000-0003-4740-4187
dc.identifier.urihttps://hdl.handle.net/1794/30401
dc.language.isoen_US
dc.publisherUniversity of Oregon Libraries
dc.rightsCreative Commons BY-NC-ND 4.0-US
dc.subjectPower BI
dc.subjectAlma Analytics
dc.subjectPython
dc.titleCost per Use in Power BI using Alma Analytics and a Dash of Python Authors Lydia
dc.typeOther

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