Document Type
Presentation
Publication Date
2-3-2023
Sponsoring Organization:
State University of New York Librarians Association
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Abstract
In the fall of 2022, our library began preparing for a renovation project by rapidly weeding our main stacks. Using our LSP reporting platform, Alma Analytics, as the primary data source, we automated a data pipeline to generate, collect, process, and update a data dashboard daily. Primary tools used were Alma Analytics, Power Automate, and PowerBI. The dashboard provides daily updates to reflect the project’s progress to everyone in the Library.
The techniques used for this project can be applied to many different scenarios. However, the ugly question remains – if you build it, will they care?
Recommended Citation
Arredondo, David and McDowall, Matt, "Automating a Data Pipeline for a Rapid Weeding Project Dashboard" (2023). Posters, Proceedings, and Presentations: CTR Library. 3.
https://openspaces.unk.edu/ctr-ppp/3