Cultivating Data Based Decisions In Higher Education Using Rapid Insight Inc Veera

American postsecondary institutions are faced with a growing financial crisis that threatens the quality, availability, and economics of the higher education system. Within this climate of economic uncertainty and decline, higher education is under pressure to restructure and reform its processes and contributions to society and to provide evidence of return on investment while using as few institutional resources as possible. In an effort to address these challenges, college and university administrators attempt to guide their institutions by becoming more focused on data-based decision making. This book provides an overview of Rapid Insight(R)'s Veera and how it can be used to address many difficulties confronting postsecondary institutions attempting to engage in meaningful data-based decision making. It is not intended to be an in-depth reference manual for the product, but, rather, to motivate novices to use Veera and to expose experienced users to real-world examples and tips.

Higher education institutions have experienced a sharp increase in demand for accountability. To meet the growing demand by legislators, accreditors, consumers, taxpayers, and parents for evidence of successful outcomes, this important book provides higher education leaders and practitioners with actionable strategies for developing a comprehensive data culture throughout the entire institution. Exploring key considerations necessary for the development of an effective data culture in colleges and universities, this volume brings together diverse voices and perspectives, including institutional researchers, senior academic leaders, and faculty. Each chapter focuses on a critical element of managing or influencing a data culture, approaches for breaking through common challenges, and concludes with practical, research-based implementation strategies. Collectively, these strategies form a comprehensive list of recommendations for developing a data culture and becoming a change agent within your higher education institution.

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

The best organizations have the best talent. . . Financial incentives drive company performance. . . Firms must change or die. Popular axioms like these drive business decisions every day. Yet too much common management “wisdom” isn’t wise at all—but, instead, flawed knowledge based on “best practices” that are actually poor, incomplete, or outright obsolete. Worse, legions of managers use this dubious knowledge to make decisions that are hazardous to organizational health. Jeffrey Pfeffer and Robert I. Sutton show how companies can bolster performance and trump the competition through evidence-based management, an approach to decision-making and action that is driven by hard facts rather than half-truths or hype. This book guides managers in using this approach to dismantle six widely held—but ultimately flawed—management beliefs in core areas including leadership, strategy, change, talent, financial incentives, and work-life balance. The authors show managers how to find and apply the best practices for their companies, rather than blindly copy what seems to have worked elsewhere. This practical and candid book challenges leaders to commit to evidence-based management as a way of organizational life—and shows how to finally turn this common sense into common practice.

Decision Support and Business Intelligence Systems provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making. The 10th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book.

This book presents the proceedings of the 10th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions, ICSCCW 2019, held in Prague, Czech Republic, on August 27–28, 2019. It includes contributions from diverse areas of soft computing and computing with words, such as uncertain computation, decision-making under imperfect information, neuro-fuzzy approaches, deep learning, natural language processing, and others. The topics of the papers include theory and applications of soft computing, information granulation, computing with words, computing with perceptions, image processing with soft computing, probabilistic reasoning, intelligent control, machine learning, fuzzy logic in data analytics and data mining, evolutionary computing, chaotic systems, soft computing in business, economics and finance, fuzzy logic and soft computing in earth sciences, fuzzy logic and soft computing in engineering, fuzzy logic and soft computing in material sciences, soft computing in medicine, biomedical engineering, and pharmaceutical sciences. Showcasing new ideas in the field of theories of soft computing and computing with words and their applications in economics, business, industry, education, medicine, earth sciences, and other fields, it promotes the development and implementation of these paradigms in various real-world contexts. This book is a useful guide for academics, practitioners and graduates.

The study of universities’ role in regional engagement has traditionally been focusing on exceptional cases. This book presents a reconceptualization which embraces its underlying complexity and proposes a roadmap for a renewed research agenda. Starting from the grassroots level of universities’ everyday engagements, the book delves into the manifold ways in which university knowledge agents build connections with regional partners. Through 11 empirical chapters, the authors not only chart the diversity among case institutions, engagement mechanisms, and regional contexts but also use that diversity to advance a novel conceptual framework, centered on the process of mundaneness, for unpacking university-regions’ everyday activities, taking into account the dynamic, complex, and co-evolving interplay between (a) key social agents and institutions, (b) the contexts in which they are embedded, as well as (c) the historical trajectories and strategic ambitions underpinning context-specific social arrangements and interactions that are mediated by temporal and spatial dimensions. Drawing on evolutionary economic geography, innovation studies, management and organization studies, and historical perspectives, the volume advances a new mode of understanding university-regional engagement as a form of extendable temporary coupling, which also helps to address perennial policy and managerial questions alike of what to do with universities that do not serve local labour market needs and/or are located in regions suffering from brain drain. The book illustrates such dynamics from diverse national contexts and three continents: Brazil, Caribbean, China, Italy, Norway, and Poland. This book will be valuable reading for advanced students, researchers, and policymakers working in economic geography, regional development, innovation, and higher education management. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

This book, written by a leading scholar in leadership, takes readers through a very realistic look at what it takes to develop leadership competencies. Focusing on four major goals, this text: *provides the reader with a broader and deeper understanding of what constitutes authentic leadership development; *challenges a very basic notion that leaders are born versus made; *talks about the elements that comprise leadership development so readers are informed to ask the many providers of leadership development the right questions; and *develops full leadership potential. There are numerous case examples used throughout the book: high-tech executives, community leaders, correctional service supervisors, bank managers in Canada, and platoon commanders in Israel. Each example is used as a general basis for discussing how people develop their leadership potential, and as models of training and evaluation. Leadership Development in Balance: MADE/Born is intended for graduate or undergraduate students of leadership, project managers, supervisors, senior executives, school principles, health care officers, or legislators.