Libraries collect valuable data from user interactions, including book checkouts, digital resource access, catalogue searches, and program attendance. By using data analysis techniques, libraries can uncover patterns in user behaviour that inform resource allocation decisions such as which materials to acquire or remove and how to tailor services to better meet user needs. The aim is to enhance efficiency, improve user satisfaction, and elevate service quality through evidence-based strategies, ultimately creating a more engaging library experience for everyone.
Your question doesn't specify which type of library you're thinking of. While public libraries do focus more on collecting items that are known to be, or likely to be (based on author, publisher, topic, format, etc.) popular, it's still important to collect a wide range of materials, even if some will not be as popular. Especially with programs in public libraries, it's important to recognize the distinction between high attendance vs. deep engagement. A program with a small number of attendees might allow each person to make a meaningful connection to a fellow community member, the presenter or library staff, or the library itself. This is especially the case with programs on deeply important topics like domestic violence, incarceration and re-entry, Pride communities, etc.
Talking about how to most "optimize" library services seems to frequently focus too much on straight numbers, when some of the most meaningful work we do cannot be quantified. A library is not a business and while metrics are important, we can't rely on them overmuch, to the extent it damages the things the library does well but uncountably.
It depends on the type of library and the collection development policy of the patron organization. The user behaviour may help restructuring the policy in acquiring types of study materials; and circulation records may help in increasing/decreasing the number of copies of a particular study material to be procured.
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