Access to good data on key metrics such as circulation and student visits always helps make a better case for the important role libraries play on campus. But using data proactively to address emerging trends and challenges is “what it really means to be a data-driven organization” said Sarah Tudesco, Assessment Librarian, Yale University, during yesterday’s “What Is a Data-Driven Academic Library?” webcast.
Data-driven decision making is creating large pools of data around which public libraries are trying to define everything from overarching strategies to granular collection development strategies. Although the analysis of this data is often left to third-parties, some libraries are taking the step of hiring their own data analysts to help administrators decide what the data means, why it matters, and how best to present it to other stakeholders. Archive now available!
Customer segmentation studies and data analytics combines demographic data with lifestyle information to help public libraries better understand who their customers are and what services best meet the community’s need, whether school-aged children or empty-nester couples. This type of GIS-based market segmentation can also help inform strategies around such initiatives as a levy ballot and also eliminate inefficient marketing efforts. Archive now available!
Data-driven collection analysis is growing quickly as libraries take advantage of the new tools and services on the market that allow for rapid evidence-based decision making about everything from what materials to buy and how to deploy collections. Such data is also underpinning large collaborative efforts to create shared strategies for management of print collections. Archive now available!