Using predictive analytics in the library

Abstract

Purpose

The purpose of this column is to introduce predictive analytics and its potential for use in the library.

Design/methodology/approach

The paper uses a literature review and commentary on this topic that has been addressed by theoreticians, researchers and practitioners.

Findings

Today, there are numerous commercial data‐analysis software tools that can assist the library in its organizational planning efforts. Most prominently in the basic areas of staffing, budgets, collections, services and facilities, predictive analytics can be used to help develop an overall plan of financial and programmatic development for the library.

Originality/value

The value in addressing this issue is to suggest that libraries might consider use of data‐analysis software to support their budget and planning processes.

Citation

Massis, B.E. (2012), "Using predictive analytics in the library", New Library World, Vol. 113 No. 9/10, pp. 491-494. https://doi.org/10.1108/03074801211273957