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Finding Bad Data Using Data Visualization

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Session Information

No matter how hard we try, we all have data inaccuracies in our catalogs. Whether it's due to a change in cataloging practices, importing poor records from outside sources, or location discrepancies, we're always fighting to make our items discoverable by patrons. This presentation focuses on functionality within Data Visualization to discover data outliers or mismatches to external data and the intricacies of building a workbook that tracks the progress of data fix projects. It concludes with a look at a project at GMU to roll back erroneous location changes using an uploaded snapshot report.

Alma, Primo
None - General Audience
Build a workbook that compares external data such as an inventory list to current Alma data 
Use Data Visualization to identify and track progress in fixing data inaccuracies
Avoid Data Visualization UI intricacies that could lead to inaccurate results
Jun 19, 2025 11:15 AM - 12:00 Noon(America/New_York)
Venue : Marquis Ballroom/Salon D
20250619T1115 20250619T1200 America/New_York Finding Bad Data Using Data Visualization

No matter how hard we try, we all have data inaccuracies in our catalogs. Whether it's due to a change in cataloging practices, importing poor records from outside sources, or location discrepancies, we're always fighting to make our items discoverable by patrons. This presentation focuses on functionality within Data Visualization to discover data outliers or mismatches to external data and the intricacies of building a workbook that tracks the progress of data fix projects. It concludes with a look at a project at GMU to roll back erroneous location changes using an uploaded snapshot report.

Marquis Ballroom/Salon D Ex Libris Knowledge Days and ELUNA Conference 2025 eluna-conf-planning@exlibrisusers.org
59 visits

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Session speakers, moderators & attendees
Database Integrity & Analysis Specialist
,
George Mason University
Head, Consortial Systems & Operations
,
USMAI
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