This book examines the relevant roles, skills and knowledge needed to build the institutional research capacity across the higher education sector globally. The information contained herein will inform IR practitioners, senior level institution officials, and higher education scholars. With a focus on building the capacity of the IR profession, this book's primary audiences include senior leaders who wish to introduce or strengthen their understanding for effective decision support and staff members who are currently in decision support units and those who wish to serve in this capacity. However, this book also offers detail on the decision support function to higher education scholars who seek to better address how data can inform policy and planning in higher education. Through a broad discussion about the roles and skills of the practitioners, this book will also enumerate the ways in which decision support practitioners can be valued contributors in shaping the future decisions and direction of specific institutions and higher education broadly.

How data-informed decision making can make colleges and universities more effective institutions. The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound decisions. In Big Data on Campus, leading data analytics experts and higher ed leaders show the role that analytics can play in the better administration of colleges and universities. Aimed at senior administrative leaders, practitioners of institutional research, technology professionals, and graduate students in higher education, the book opens with a conceptual discussion of the roles that data analytics can play in higher education administration. Subsequent chapters address recent developments in technology, the rapid accumulation of data assets, organizational maturity in building analytical capabilities, and methodological advancements in developing predictive and prescriptive analytics. Each chapter includes a literature review of the research and application of analytics developments in their respective functional areas, a discussion of industry trends, examples of the application of data analytics in their decision process, and other related issues that readers may wish to consider in their own organizational environment to find opportunities for building robust data analytics capabilities. Using a series of focused discussions and case studies, Big Data on Campus helps readers understand how analytics can support major organizational functions in higher education, including admission decisions, retention and enrollment management, student life and engagement, academic and career advising, student learning and assessment, and academic program planning. The final section of the book addresses major issues and human factors involved in using analytics to support decision making; the ethical, cultural, and managerial implications of its use; the role of university leaders in promoting analytics in decision making; and the need for a strong campus community to embrace the analytics revolution. Contributors: Rana Glasgal, J. Michael Gower, Tom Gutman, Brian P. Hinote, Braden J. Hosch, Aditya Johri, Christine M. Keller, Carrie Klein, Jaime Lester, Carrie Hancock Marcinkevage, Gail B. Marsh, Susan M. Menditto, Jillian N. Morn, Valentina Nestor, Cathy O'Bryan, Huzefa Rangwala, Timothy Renick, Charles Tegen, Rachit Thariani, Chris Tompkins, Lindsay K. Wayt, Karen L. Webber, Henry Y. Zheng, Ying Zhou

This book examines the relevant roles, skills and knowledge needed to build the institutional research capacity across the higher education sector globally. The information contained herein will inform IR practitioners, senior level institution officials, and higher education scholars. With a focus on building the capacity of the IR profession, this book's primary audiences include senior leaders who wish to introduce or strengthen their understanding for effective decision support and staff members who are currently in decision support units and those who wish to serve in this capacity. However, this book also offers detail on the decision support function to higher education scholars who seek to better address how data can inform policy and planning in higher education. Through a broad discussion about the roles and skills of the practitioners, this book will also enumerate the ways in which decision support practitioners can be valued contributors in shaping the future decisions and direction of specific institutions and higher education broadly.

Globalization, demographic shifts, increase in student enrollments, rapid technological transformation, and market-driven environments are altering the way higher education operates today. Institutional Research and Planning in Higher Education explores the impact of these changes on decision support and the nature of institutional research in higher education. Bringing together a diverse set of global contributors, this volume covers contemporary thinking on the practices of academic planning and its impact on key issues such as access, institutional accountability, quality assurance, educational policy priorities, and the development of higher education data systems.

Globalization, demographic shifts, increase in student enrollments, rapid technological transformation, and market-driven environments are altering the way higher education operates today. Institutional Research and Planning in Higher Education explores the impact of these changes on decision support and the nature of institutional research in higher education. Bringing together a diverse set of global contributors, this volume covers contemporary thinking on the practices of academic planning and its impact on key issues such as access, institutional accountability, quality assurance, educational policy priorities, and the development of higher education data systems.