Leveraging quantitative data to improve a device‐lending program

The purpose of this paper is to encourage administrators of device‐lending programs to leverage existing quantitative data for management purposes by integrating analysis of quantitative data into the day‐to‐day workflow.

This is a case study of NCSU Libraries' efforts to analyze and visualize transactional data to aid in the on‐going management of a device‐lending program.

Analysis and visualization of qualitative data related to technology lending revealed patterns in lending over the course of the semester, day, and week that had previously gone unrecognized. With more concrete data about trends in wait times, capacity lending, and circulation volume, staff are now able to make more informed purchasing decisions, modify systems and workflows to better meet user needs, and begin to explore new ideas for services and staffing models.

The concepts and processes described here can be replicated by other libraries that wish to leverage transactional data analysis and data visualization to aid in management of a device‐lending program.

Although much literature exists on the implementation and qualitative evaluation of device‐lending programs, this paper is the first to provide librarians with ideas for leveraging analysis of transactional data to improve management of a device‐lending program.