Hopkins Fulfillment Services


"The authors do an excellent job of explaining the nuances between data-driven decision making and data-informed decision making, and why the latter is more appropriate in the context of higher education's shared governance process. I've never seen a book like this in our profession. I expect it to be regularly used in graduate programs in higher education administration. It will also serve as an excellent reference for institutional leadership teams planning to undertake major change."

"Presidents, provosts, senior administrators, and trustees will find this volume informative and useful for bringing them up to speed on a rapidly evolving set of tools that will be central to higher education administration going forward."

"Collecting a series of essays that relate to the roles of decision makers and practitioners, this wonderful book is nuanced, original, and complementary of other works in the field. The scholarship and sourcing are exceptionally thoughtful, thorough, and sound."

"Webber and Zheng bring together scholars and practitioners working on the cutting edge of predictive data analytics on college campuses. Together, the chapters offer a comprehensive strategic, operational, and theoretical approach to the challenges and opportunities of data-informed decision-making in higher education. A 'must read' for higher education leaders and scholars."

"Webber and Zheng have done an immense service to higher education, particularly in this age of the coronavirus. Institutions of higher education have rarely faced such great challenges with so little information on how to proceed. This book provides the construct and tools necessary for university leaders to make positive and transformative decisions in a post-pandemic world."

"Colleges and universities are catching up rapidly to other industries in their use of data and analytics. This edited volume by Webber and Zheng reviews the state of the analytics art in key functional areas within higher education, while the editors' own chapters reinforce the need for critical human capabilities in data-driven universities."