March 16, 2018

Data-Driven Public Libraries

Data-Driven Libraries: On-Demand Webcasts

Navigating Options & Measuring Outcomes

Sign up for Library Journal’s FREE, on-demand webcast series on data-driven solutions that will help you analyze and decode data to create viable plans for your library’s future.

Librarians today are facing the inescapable reality that data is slowly beginning to govern much of what they do. Whether it is figuring out the best way to curate data sets or learning how to parse the ever growing number of metrics that every library is generating, librarians have to determine the most constructive way to deal with this ocean of information that a growing number of software companies and applications are making available.

This series of three, one-hour webcasts looks at some illustrative cases of how data-driven decisions can help libraries prove their value, better manage collections, and devise new services.

Sponsored by: Civic Technologies, EnvisionWare Enterprise Reporter, Collection HQ, Innovative Interfaces, and Library Journal


Data-Driven Libraries Part 1: Analyzing Data to Manage Print Collections

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

Data-Driven Libraries Part 2: Understanding Customers Through Segmentation Analysis

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.

Data-Driven Libraries Part 3: Decoding Data to Plan for the Future

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.