Data Analytics in Libraries — Four Questions to Ask

Data Analytics in Libraries — Four Questions to Ask

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Becoming an agile library, one that can easily react to evolving user needs and pivot quickly, is the operational “gold standard.”  However, the lack of robust data analytics in libraries can cause libraries to miss key evidence of user engagement, holding them back from reaching their goals. With disparate data sources, manual processing, offline storage and lack of complete insight, collecting and analyzing library data can often feel like a dragging weight. Read more.

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