The authors apply Six Sigma to continuous library improvement, showing libraries how to use data analytics and data-driven decision making to make their operations more cost-effective and value-added. They explain Six Sigma and its variations; each of the Six Sigma steps for improving library operations and customer satisfaction; and how to clean data, match it with appropriate analysis techniques, and use statistical and survey software. They end with 14 case studies of data analysis of different library functions, such as digitization, ebook collection development, facilities, instruction, knowledge management, lending devices, and reference staffing. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)
