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| columbia masters in business analytics: Data Science Careers, Training, and Hiring Renata Rawlings-Goss, 2019-08-02 This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build. |
| columbia masters in business analytics: Financial Risk Management Allan M. Malz, 2011-09-13 Financial risk has become a focus of financial and nonfinancial firms, individuals, and policy makers. But the study of risk remains a relatively new discipline in finance and continues to be refined. The financial market crisis that began in 2007 has highlighted the challenges of managing financial risk. Now, in Financial Risk Management, author Allan Malz addresses the essential issues surrounding this discipline, sharing his extensive career experiences as a risk researcher, risk manager, and central banker. The book includes standard risk measurement models as well as alternative models that address options, structured credit risks, and the real-world complexities or risk modeling, and provides the institutional and historical background on financial innovation, liquidity, leverage, and financial crises that is crucial to practitioners and students of finance for understanding the world today. Financial Risk Management is equally suitable for firm risk managers, economists, and policy makers seeking grounding in the subject. This timely guide skillfully surveys the landscape of financial risk and the financial developments of recent decades that culminated in the crisis. The book provides a comprehensive overview of the different types of financial risk we face, as well as the techniques used to measure and manage them. Topics covered include: Market risk, from Value-at-Risk (VaR) to risk models for options Credit risk, from portfolio credit risk to structured credit products Model risk and validation Risk capital and stress testing Liquidity risk, leverage, systemic risk, and the forms they take Financial crises, historical and current, their causes and characteristics Financial regulation and its evolution in the wake of the global crisis And much more Combining the more model-oriented approach of risk management-as it has evolved over the past two decades-with an economist's approach to the same issues, Financial Risk Management is the essential guide to the subject for today's complex world. |
| columbia masters in business analytics: Computational Intelligence in Business Analytics Les Sztandera, 2014-05-26 Use computational intelligence to drive more value from business analytics, overcome real-world uncertainties and complexities, and make better decisions. Drawing on his pioneering experience as an instructor and researcher, Dr. Les Sztandera thoroughly illuminates today's key computational intelligence tools, knowledge, and strategies for analysis, exploration, and knowledge generation. Sztandera demystifies artificial neural networks, genetic algorithms, and fuzzy systems, and guides you through using them to model, discover, and interpret new patterns that can't be found through statistical methods alone. Packed with relevant case studies and examples, this guide demonstrates: Customer segmentation for direct marketing Customer profiling for relationship management Efficient mailing campaigns Customer retention Identification of cross-selling opportunities Credit score analysis Detection of fraudulent behavior and transactions Hedge fund strategies, and more Szandera shows how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. He also shows how to complement computational intelligence with visualization, explorative interfaces and advanced reporting, thereby empowering business users and enterprise stakeholders to take full advantage of it. For analytics professionals, managers, and students. |
| columbia masters in business analytics: Shifting Categories of Work Lisa Herzog, Bénédicte Zimmermann, 2022-12-30 What do human beings do when they work, how is work organized, and what are its multidimensional – economic, social, political, biographical, ecological – effects? We cannot answer these questions without drawing on the numerous categories that we use to describe work, such as skilled or unskilled work, domestic work or wage labor, gig work or platform work. Such categories are not merely theoretical labels as they also have practical effects. But where do these categories come from, what are their histories, how do they differ between countries, and how are they evolving? Shifting Categories of Work asks these questions, illuminating the many ways in which our societies categorize work. Written by sociologists, philosophers, historians and anthropologists as well as management and legal scholars, the contributions in this volume contrast different cultural practices and frameworks of categorizing work across different countries. Organized around the three axes of (un)organized work, (in)visible work and (in)valuable work, this book shows how ways of categorizing work express, but also recreate, lines of privilege and disadvantage – challenging our preconceived notions of what work is and what it could be, as it invites us to rethink the categories we use for understanding the work we do, and hence, to some extent, ourselves. |
| columbia masters in business analytics: Business Analytics Stephen G. Powell, Kenneth R. Baker, 2019-02 |
| columbia masters in business analytics: Managing Social Robotics and Socio-cultural Business Norms Anshu Saxena Arora, Sabine Jentjens, Amit Arora, John R. McIntyre, Mohamad Sepehri, 2022-08-21 This book explores the co-existence of humans and AI in business contexts. Though AI and social robots have become ubiquitous, there are still many challenges facing technological expansion, including a true understanding of abstract concepts, transfer of knowledge to novel application problems, transparency and security guarantees, and distinguishing between random and logically meaningful relationships. While machines are valuable tools, only humans are capable of recognizing values which are the key to ethics and socio-cultural norms. Further, human virtues such as emotional intelligence, wisdom, and courage are required for decision making in many (private and professional) situations where machines would lead to sub-optimal and/or ethically questionable business outcomes. This book discusses how digital technology has emerged as a critical support system for organizations during the COVID-19 pandemic and how it can be used to complement human qualities that machines lack. It is divided into three sections that examine the complex world of AI and social robotics, digital technology and social media roles in business, and human actions that are embedded within socio-cultural business norms, such as international negotiations, that are not yet replaceable by AI. For researchers interested in understanding these parallel worlds, this book assesses how can continue to not only coexist but mutually benefit the business ecosystem. |
| columbia masters in business analytics: Handbook of Research on Foundations and Applications of Intelligent Business Analytics Sun, Zhaohao, Wu, Zhiyou, 2022-03-11 Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students. |
| columbia masters in business analytics: Recent Advancements in Computational Finance and Business Analytics Rangan Gupta, |
| columbia masters in business analytics: Contemporary Sport Management Paul M. Pedersen, 2024-10-17 For over 25 years, Contemporary Sport Management has been the most comprehensive, authoritative introductory text in the field, and the improved eighth edition promises to serve the needs of sport management students even better. Sixty contributors representing a diverse array of scholarly and practitioner backgrounds have teamed up to deliver a timely text to keep pace with the ever-changing sport management landscape. Nearly a third of the contributors are new to this edition, adding fresh perspectives, examples, and experiences to the mix. This full-color text is organized into three parts and aligns with Common Professional Component principles set forth by the Commission on Sport Management Accreditation (COSMA). Part I, Introduction to Sport Management, provides an overview and covers the foundational elements of the field. Part II, Sport Management Sites, exposes students to career opportunities through various sport entities, including interscholastic, intercollegiate, and professional sport organizations and agencies. In part III, Sport Management Functions, readers learn about the core functional areas of sport management, including sport marketing, communication, sales and consumer behavior, analytics, finance, facility and event management, and law. Much has changed in the sport industry since the previous edition was published: name, image, and likeness (NIL) rules; social justice and inclusion initiatives; conference realignments; billion-dollar media rights deals; opportunities for women in sports; and the proliferation of artificial intelligence, sport analytics, and virtual reality and augmented reality—just to name a few. Each chapter incorporates new content, case studies, and sidebars addressing these and other trending topics. A new chapter dedicated to esports discusses its ecosystem, global expansion, and career opportunities and, in response to requests from instructors, returning to the eighth edition is a section on sport tourism. Supplementing the text are online learning materials delivered through HKPropel that are designed to increase student engagement and enhance understanding of chapter content. More than 200 activities, Case Studies in Sport Management journal articles, and case study sidebars underscore key concepts and challenge students to think critically about sport management so they can develop insight into issues they will encounter in their careers. Case studies new to this edition examine the 2026 World Cup, marketing of women’s sports, facility management, and player safety. Contemporary Sport Management has long been a favorite of instructors and students, propelled by its engaging content and visuals, full-color design, robust pedagogical aids, integrated online learning tools, and extensive instructor ancillaries. The updated eighth edition continues that tradition, broadening students’ understanding of today’s sport management issues and preparing them to enter the profession. Note: A code for accessing HKPropel is not included with this ebook but may be purchased separately. |
| columbia masters in business analytics: Encyclopedia of Data Science and Machine Learning Wang, John, 2023-01-20 Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians. |
| columbia masters in business analytics: Business Analytics and Intelligence in Digital Era Dr K. Kumuthadevi , Dr G Vengatesan, Dr Niraj Kumar, 2022-12-30 The International Conference on“Business Analytics and Intelligence in Digital Era” on the 4th and 5th of November 2022. Organized by the Department of B.Com Business Analytics, KPR College of Arts Science and Research (KPRCAS) promoted by the KPR group,is an eminent institution that offers a unique learning experience and equips the young generation with the accurate skill set necessary to meet the unprecedented future challenges in the field of Commerce Specialized with Business Analytics perspectives. ICBA’22 emphases encouraging and promote high-quality research on “AdvancedResearch in Business Analytics and Intelligence in Digital Era across the globeforAcademicians, Researchers,Industrialiststopresenttheirnovelresearchideasandresultsintheirdomain.AnotablenumberofresearchpapershavebeenreceivedinthedisciplinesofMarketing Analytics, HR Analytics, Banking Analytics, and Cybercrime Analytics, Health Care Analytics, Social Media Analytics, Sports Analytics, Web Analytics, Data Visualization, Cluster and Sentimental Analytics and many more relevant fields |
| columbia masters in business analytics: Analytics and Knowledge Management Suliman Hawamdeh, Hsia-Ching Chang, 2018-08-06 The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms. |
| columbia masters in business analytics: Peterson's Graduate Programs in Business, Education, Health, Information Studies, Law & Social Work 2012 Peterson's, 2012-05-15 Peterson's Graduate Programs in Business, Education, Health, Information Studies, Law & Social Work 2012 contains a wealth of info on accredited institutions offering graduate degrees in these fields. Up-to-date info, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable data on degree offerings, professional accreditation, jointly offered degrees, part-time & evening/weekend programs, postbaccalaureate distance degrees, faculty, students, requirements, expenses, financial support, faculty research, and unit head and application contact information. There are helpful links to in-depth descriptions about a specific graduate program or department, faculty members and their research, and more. Also find valuable articles on financial assistance, the graduate admissions process, advice for international and minority students, and facts about accreditation, with a current list of accrediting agencies. |
| columbia masters in business analytics: The Oxford Handbook of Pricing Management Özalp Özer, Robert Phillips, 2012-06-07 A definitive reference to the theory and practice of pricing across industries, environments, and methodologies. It covers all major areas of pricing including, pricing fundamentals, pricing tactics, and pricing management. |
| columbia masters in business analytics: Managers Not MBAs Henry Mintzberg, 2005-06-02 In this sweeping critique of how managers are educated and how, as a consequence, management is practiced, Henry Mintzberg offers thoughtful and controversial ideas for reforming both. “The MBA trains the wrong people in the wrong ways with the wrong consequences,” Mintzberg writes. “Using the classroom to help develop people already practicing management is a fine idea, but pretending to create managers out of people who have never managed is a sham.” Leaders cannot be created in a classroom. They arise in context. But people who already practice management can significantly improve their effectiveness given the opportunity to learn thoughtfully from their own experience. Mintzberg calls for a more engaging approach to managing and a more reflective approach to management education. He also outlines how business schools can become true schools of management. |
| columbia masters in business analytics: Technological Breakthroughs and Future Business Opportunities in Education, Health, and Outer Space Hooke, Angus, 2021-04-09 It is widely accepted that the key to rising incomes for workers, for investors, and (indirectly) for welfare recipients is innovation. New ideas provide opportunities for investment in new products, new processes, and new markets. Exploitation of these opportunities by intrapreneurs and entrepreneurs gives rise to increases in labor productivity, which in turn lead to higher primary incomes for workers and investors and, via government redistributive mechanisms, larger transfers to welfare recipients. Since technology is the driver of innovation and the key to the subsequent economic and distributional benefits of this innovation, there is a need for researchers and businesspersons to have access to up-to-date information on emerging technologies and the business opportunities they provide. Technological Breakthroughs and Future Business Opportunities in Education, Health, and Outer Space discusses the economic, social, and cultural benefits that new technologies can provide in multidisciplinary industries with a unique emphasis on looking towards the impacts of these technologies across the next two decades. Within this theme, the book discusses the recent trends, future developments, and business opportunities surrounding new technologies including information technology and biotechnology. Additionally, the book investigates recent demands and disruptions in the health and education sectors as well as recent developments and forthcoming opportunities in the outer space sector and how newer technologies can enable and meet the growing demands of these industries. While covering all these technologies and their applications, this book is an ideal reference work for entrepreneurs and intrapreneurs, teachers, technologists, analysts, IT specialists, engineers, policymakers, medical professionals, government officials, space agencies, financial planners, public officials, and researchers and students working in areas that include but are not limited to technology, education, public health, medicine, business and management, aeronautics, and public policy. |
| columbia masters in business analytics: The Ocean of Tomorrow Phoebe Koundouri, 2020-12-30 As a response to the climate crisis and its effect on marine ecosystems and coastal populations, this book proposes concrete science driven solutions at establishing transformation pathways towards Sustainable Blue Growth, that are supported by technically and socially innovative innovations. This book proposes investment options and management solutions that have the potential of making our seas and oceans resilient to crises- climate, financial, health- by laying the foundations for a green/blue, circular economy that is anchored in science driven solutions and geared toward public well-being. Now is the time to usher in systemic economic change and the good news is that we have our blueprint: it’s the combination of UN Agenda 2030 (17 SDG) and European Commission’s European Green Deal! There is no doubt that the Earth’s survival will depend on the protection and sustainable management of our seas and oceans and the resources they provide. This is recognized by the Joint Communication on International Ocean Governance, which is an integral part of the EU’s response to the United Nations’ 2030 Agenda for Sustainable Development, and in particular to the targets set out by Sustainable Development Goal 14 (SDG 14) to “conserve and sustainably use the oceans, seas and marine resources”. The analytical framework and science-driven concrete management solutions proposed in this book can accelerate the transition to a sustainable management of our seas and oceans, by turning the current challenges into opportunities for sustainable economic growth which is both environmentally resilient and leaves no one behind. |
| columbia masters in business analytics: Fundamentals of Statistical Inference , 1977 |
| columbia masters in business analytics: AI for Good Juan M. Lavista Ferres, William B. Weeks, 2024-01-23 FOREWORD BY BRAD SMITH, VICE CHAIR AND PRESIDENT OF MICROSOFT Discover how AI leaders and researchers are using AI to transform the world for the better In AI for Good: Applications in Sustainability, Humanitarian Action, and Health, a team of veteran Microsoft AI researchers delivers an insightful and fascinating discussion of how one of the world's most recognizable software companies is tackling intractable social problems with the power of artificial intelligence (AI). In the book, you’ll see real in-the-field examples of researchers using AI with replicable methods and reusable AI code to inspire your own uses. The authors also provide: Easy-to-follow, non-technical explanations of what AI is and how it works Examples of the use of AI for scientists working on mitigating climate change, showing how AI can better analyze data without human bias, remedy pattern recognition deficits, and make use of satellite and other data on a scale never seen before so policy makers can make informed decisions Real applications of AI in humanitarian action, whether in speeding disaster relief with more accurate data for first responders or in helping address populations that have experienced adversity with examples of how analytics is being used to promote inclusivity A deep focus on AI in healthcare where it is improving provider productivity and patient experience, reducing per-capita healthcare costs, and increasing care access, equity, and outcomes Discussions of the future of AI in the realm of social benefit organizations and efforts Beyond the work of the authors, contributors, and researchers highlighted in the book, AI For Good begins with a foreword from Microsoft Vice Chair and President Brad Smith. There, Smith details the Microsoft rationale behind the creation of and continued investment in the AI for Good Lab. The vision is one of hope with AI saving lives in disasters, improving health care globally, and Microsoft's mission to make sure AI's benefits are available to all. An essential guide to impactful social change with artificial intelligence, AI for Good is a must-read resource for technical and non-technical professionals interested in AI’s social potential, as well as policymakers, regulators, NGO professionals, and non-profit volunteers. |
| columbia masters in business analytics: Advanced Business Analytics Saumitra N. Bhaduri, David Fogarty, 2016-07-12 The present book provides an enterprise-wide guide for anyone interested in pursuing analytic methods in order to compete effectively. It supplements more general texts on statistics and data mining by providing an introduction from leading practitioners in business analytics and real case studies of firms using advanced analytics to gain a competitive advantage in the marketplace. In the era of “big data” and competing analytics, this book provides practitioners applying business analytics with an overview of the quantitative strategies and techniques used to embed analysis results and advanced algorithms into business processes and create automated insight-driven decisions within the firm. Numerous studies have shown that firms that invest in analytics are more likely to win in the marketplace. Moreover, the Internet of Everything (IoT) for manufacturing and social-local-mobile (SOLOMO) for services have made the use of advanced business analytics even more important for firms. These case studies were all developed by real business analysts, who were assigned the task of solving a business problem using advanced analytics in a way that competitors were not. Readers learn how to develop business algorithms on a practical level, how to embed these within the company and how to take these all the way to implementation and validation. |
| columbia masters in business analytics: Developing the Intuitive Executive Jay Liebowitz, 2023-10-19 The leading traits of executives often include creativity and innovation. Research shows that intuition can significantly enhance these traits. Developing intuitive executives and honing intuition, coupled with the ability to apply data and evidence to inform decision making, is the focus of Developing the Intuitive Executive: Using Analytics and Intuition for Success. Some researchers call the complement of applying data analytics to intuition as quantitative intuition, rational intuition, or informed intuition. Certainly, in today's data-driven environment, analytics plays a key role in executive decision-making. However, an executive’s many years of experiential learning are not formally considered as part of the decision-making process. Learning from both failures and successes can help fine-tune intuitive awareness—what this book calls intuition-based decision-making. Research also shows that many executives do not trust the internal data quality in their organizations, and so they rely on their intuition rather than strictly on data. This book presents the work of leading researchers worldwide on intuition in the management and executive domain. Their chapters cover key issues, trends, concepts, techniques, and opportunities for applying intuition as part of the executive decision-making process. Highlights include: Using intuition to manage new opportunities Intuition in medicine Rules based on intuition Balancing logic and intuition in decision-making Smart heuristics to manage complexity Intuition and competitiveness Intuitive investment decision-making across cultures Showing how intuition in executive decision-making should play an important role, this book enables managers to complement their knowledge gained from experience with analytics to improve decision-making and business success. |
| columbia masters in business analytics: Corporate Explorer Andrew Binns, Charles A. O'Reilly, Michael Tushman, 2022-02-02 Corporate Explorers Transform Disruption Into Opportunity With This Proven Framework Innovation used to be seen as a game best left to entrepreneurs, but now a new breed of corporate managers is flipping this logic on its head. These Corporate Explorers have the insight, resilience, and discipline to overcome the obstacles and build new ventures from inside even the largest organizations. Corporate Explorers are part entrepreneurs, using innovation disciplines to jump start cutting-edge ideas, and part change leaders, capable of creating support for investment. They see that corporations already own the ideas, resources, and—critically—the talent to build new ventures. Companies like Amazon, Microsoft, Bosch, LexisNexis, and Analog Devices enable managers to put these assets to use and gain an upper hand over startups that threaten to disrupt them. Corporate Explorer is a guidebook to the practices that enable these managers to go from idea into action. It demonstrates how success is not only possible but may offer entrenched companies better odds than venture-capital backed startups. This actionable and proven framework explains how managers can become successful corporate innovators; it includes tools to: Learn how to apply innovation practices with greater discipline Turn great ideas into a full-time job as an innovation leader Experiment with and scale original business models Transform innovation programs into a thriving source of new business Attract, retain, and motivate entrepreneurial talent Energize employees by creating a realistic way to innovate These lessons come from the trailblazers of corporate innovation—Andrew Binns (Change Logic), Charles O'Reilly (Stanford Graduate School of Business), and Michael Tushman (Harvard Business School)—who have decades of experience helping entrepreneurial-minded executives activate employees to become Corporate Explorers. Entrepreneurs take notice—it's time for Corporate Explorers to set the pace and chart the course for disruption. |
| columbia masters in business analytics: Artificial Intelligence and Economic Sustainability in the Era of Industrial Revolution 5.0 Abdalmuttaleb M. A. Musleh Al-Sartawi, |
| columbia masters in business analytics: Decision Making in Service Industries Javier Faulin, Angel A. Juan, Scott E. Grasman, Michael J. Fry, 2012-08-08 In real-life scenarios, service management involves complex decision-making processes usually affected by random or stochastic variables. Under such uncertain conditions, the development and use of robust and flexible strategies, algorithms, and methods can provide the quantitative information necessary to make better business decisions. Decision Making in Service Industries: A Practical Approach explores the challenges that must be faced to provide intelligent strategies for efficient management and decision making that will increase your organization’s competitiveness and profitability. The book provides insight and understanding into practical and methodological issues related to decision-making processes under uncertainty in service industries. It examines current and future trends regarding how these decision-making processes can be efficiently performed for better design of service systems by using probabilistic algorithms as well as hybrid and simulation-based approaches. Traditionally, many quantitative tools have been developed to make decisions in production companies. This book explores how to use these tools for making decisions inside service industries. Thus, the authors tackle strategic, tactical, and operational problems in service companies with the help of suitable quantitative models such as heuristic and metaheuristic algorithms, simulation, or queuing theory. Generally speaking, decision making is a hard task in business fields. Making the issue more complex, most service companies’ problems are related to the uncertainty of the service demand. This book sheds light on these types of decision problems. It provides studies that demonstrate the suitability of quantitative methods to make the right decisions. Consequently, this book presents the business analytics needed to make strategic decisions in service industries. |
| columbia masters in business analytics: AI-Enabled Analytics for Business Lawrence S. Maisel, Robert J. Zwerling, Jesper H. Sorensen, 2022-01-19 We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. AI-Enabled Analytics in Business is your Roadmap to meet this essential business capability. To ensure we can plan for the future vs react to the future when it arrives, we need to develop and deploy a toolbox of tools, techniques, and effective processes to reveal forward-looking unbiased insights that help us understand significant patterns, relationships, and trends. This book promotes clarity to enable you to make better decisions from insights about the future. Learn how advanced analytics ensures that your people have the right information at the right time to gain critical insights and performance opportunities Empower better, smarter decision making by implementing AI-enabled analytics decision support tools Uncover patterns and insights in data, and discover facts about your business that will unlock greater performance Gain inspiration from practical examples and use cases showing how to move your business toward AI-Enabled decision making AI-Enabled Analytics in Business is a must-have practical resource for directors, officers, and executives across various functional disciplines who seek increased business performance and valuation. |
| columbia masters in business analytics: Advanced Methods for Modeling Markets Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H.A Bijmolt, Koen H. Pauwels, 2017-08-29 This volume presents advanced techniques to modeling markets, with a wide spectrum of topics, including advanced individual demand models, time series analysis, state space models, spatial models, structural models, mediation, models that specify competition and diffusion models. It is intended as a follow-on and companion to Modeling Markets (2015), in which the authors presented the basics of modeling markets along the classical steps of the model building process: specification, data collection, estimation, validation and implementation. This volume builds on the concepts presented in Modeling Markets with an emphasis on advanced methods that are used to specify, estimate and validate marketing models, including structural equation models, partial least squares, mixture models, and hidden Markov models, as well as generalized methods of moments, Bayesian analysis, non/semi-parametric estimation and endogeneity issues. Specific attention is given to big data. The market environment is changing rapidly and constantly. Models that provide information about the sensitivity of market behavior to marketing activities such as advertising, pricing, promotions and distribution are now routinely used by managers for the identification of changes in marketing programs that can improve brand performance. In today’s environment of information overload, the challenge is to make sense of the data that is being provided globally, in real time, from thousands of sources. Although marketing models are now widely accepted, the quality of the marketing decisions is critically dependent upon the quality of the models on which those decisions are based. This volume provides an authoritative and comprehensive review, with each chapter including: · an introduction to the method/methodology · a numerical example/application in marketing · references to other marketing applications · suggestions about software. Featuring contributions from top authors in the field, this volume will explore current and future aspects of modeling markets, providing relevant and timely research and techniques to scientists, researchers, students, academics and practitioners in marketing, management and economics. |
| columbia masters in business analytics: Improving Convention Center Management Using Business Analytics and Key Performance Indicators, Volume I Myles T. McGrane, 2020-09-09 Improving Convention Center Management Using Business Analytics and Key Performance Indicators presents sound practical advice from an author who successfully lived the experience. Transitioning from a traditional business model to one that is data driven and entrepreneurial can be difficult. This book explains the rationale and importance of each indicator along with data collection issues and presentation advice. It guides you through that process from launch and trial, up to making analytics an indispensible part of your management strategy. |
| columbia masters in business analytics: Graduate Programs in the Humanities, Arts and Social Sciences 2008 Peterson's Guides Staff, Peterson's, 2007-11 The six volumes of Peterson's Annual Guides to Graduate Study, the only annually updated reference work of its kind, provide wide-ranging information on the graduate and professional programs offered by accredited colleges and universities in the United States and U.S. territories and those in Canada, Mexico, Europe, and Africa that are accredited by U.S. accrediting bodies. Books 2 through 6 are divided into sections that contain one or more directories devoted to individual programs in a particular field. Book 2 contains more than 12,500 programs of study in 152 disciplines of the humanities, arts, and social sciences. |
| columbia masters in business analytics: Demand for Communications Services – Insights and Perspectives James Alleman, Áine Marie Patricia Ní-Shúilleabháin, Paul N. Rappoport, 2013-10-07 This volume grew out of a conference organized by James Alleman and Paul Rappoport, conducted on October 10, 2011 in Jackson Hole, Wyoming, in honor of the work of Lester D. Taylor, whose pioneering work in demand and market analysis has had profound implications on research across a wide spectrum of industries. In his Prologue, Eli M. Noam notes that demand analysis in the information sector must recognize the “public good” characteristics of media products and networks, while taking into account the effects of interdependent user behavior; the strong cross-elasticities in a market; as well as the phenomenon of supply creating its own demand. The second Prologue, by Timothy Tardiff and Daniel Levy, focuses more specifically on Taylor’s body of work, in particular its practical applications and usefulness in analyses of, and practices within, the Information and Communications Technology (ICT) sector (known in Europe and elsewhere as the Telecommunications, Media, and Technology (TMT) sector). The remainder of the book is organized into four parts: Advances in Theory; Empirical Applications; Evidence-Based Policy Applications; and a final Conclusion. The book closes with an Appendix by Sharon Levin and Stanford Levin detailing Taylor’s contributions using bibliometrics. Not only featuring chapters from distinguished scholars in economics, applied sciences, and technology, this volume includes two contributions directly from Lester Taylor, providing unique insight into economics from a lifetime in the field. “What a worthy book! Every applied researcher in communications encounters Lester Taylor’s work. Many empirical exercises in communications can trace their roots to Taylor’s pioneering research and his thoughtful leadership. This book assembles an impressive set of contributors and contributions to honor Taylor. No surprise, the collection extends far and wide into many of the core topics of communications and media markets. The emphasis is where it should be–on important and novel research questions informed by useful data. —Shane Greenstein, Professor of Management and Strategy, Kellogg School of Management, Northwestern University “For more than 40 years, Lester Taylor has been a leader in the application of consumer modeling, econometric techniques and microeconomic data to understand residential and business user behavior in telecommunications markets. During that time, he inspired a cadre of students and colleagues who applied this potent combination to address critical corporate and regulatory issues arising in the telecommunications sector. This volume collects the recent product of many of these same researchers and several other devotees who go beyond empirical analysis of fixed line service by extending Prof. Taylor’s approach to the next wave of services and technologies. These contributions, including two new papers by Prof. Taylor, offer an opportunity for the next generation to learn from his work as it grapples with the pressing issues of consumer demand in the rapidly evolving digital economy.” — Glenn Woroch, Adjunct Professor of Economics, University of California, Berkeley |
| columbia masters in business analytics: Sport Analytics Gil Fried, Ceyda Mumcu, 2016-11-10 The increasing availability of data has transformed the way sports are played, promoted and managed. This is the first textbook to explain how the big data revolution is having a profound influence across the sport industry, demonstrating how sport managers and business professionals can use analytical techniques to improve their professional practice. While other sports analytics books have focused on player performance data, this book shows how analytics can be applied to every functional area of sport business, from marketing and event management to finance and legal services. Drawing on research that spans the entire sport industry, it explains how data is influencing the most important decisions, from ticket sales and human resources to risk management and facility operations. Each chapter contains real world examples, industry profiles and extended case studies which are complimented by a companion website full of useful learning resources. Sport Analytics: A data-driven approach to sport business and management is an essential text for all sport management students and an invaluable reference for any sport management professional involved in operational research. |
| columbia masters in business analytics: Smart Education and e-Learning - Smart Pedagogy Vladimir L. Uskov, Robert J. Howlett, Lakhmi C. Jain, 2022-05-28 This book serves as a reference for researchers and practitioners in academia and industry. Smart education, smart e-learning and smart pedagogy are emerging and rapidly growing areas that have a potential to transform existing teaching strategies, learning environments and educational activities and technology. They are focused at enabling instructors to develop innovative ways of achieving excellence in teaching in highly technological smart university and providing students with new opportunities to maximize their success using smart classrooms, smart systems and technology. This book contains the contributions presented at the 9th international KES conference on Smart Education and e-Learning (SEEL-2022) with the Smart Pedagogy as the main conference theme. It comprises of forty nine high-quality peer-reviewed papers that are grouped into several interconnected parts: Part 1—Smart Pedagogy, Part 2—Smart Education, Part 3—Smart e-Learning, Part 4—Smart University, Part 5—Smart Education: Systems and Technology, Part 6—Digital Humanities and Social Sciences for Smart University Development: the Innovative Methods, Models and Technologies, Part 7—Digital Transformation of Education and Economics in Smart University and Part 8—Smart Education for Children with Special Educational Needs. We believe this book will serve as a useful source of research data and valuable information for faculty, scholars, Ph.D. students, administrators and practitioners—those who are interested in smart education, smart e-learning and smart pedagogy. |
| columbia masters in business analytics: The Business of Sports Mark Conrad, 2017-02-17 The Business of Sports provides a comprehensive foundation of the economic, organizational, legal and political components of the sports industry. Geared for journalism, communication and business students, but also an excellent resource for those working in sports, this text introduces readers to the ever-increasing complexity of an industry that is in constant flux. Now in its third edition, the volume continues to offer a wealth of statistics and case studies, up to date with the newest developments in sports business and focused on cutting-edge issues and topics, including the many changes in international sports and the role of analytics in decision-making and tax rules that have a major effect on athletes and teams. |
| columbia masters in business analytics: Statistical Modelling and Sports Business Analytics Vanessa Ratten, Ted Hayduk, 2020-05-11 This book introduces predictive analytics in sports and discusses the relationship between analytics and algorithms and statistics. It defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use of predictive analytics includes knowing what they are incapable of doing as well as the role of predictive analytics in the bigger picture of sports entrepreneurship, innovation, and technology. The book looks at the mathematical foundations that enhance technical knowledge of predictive models and illustrates through practical, insightful cases that will help to empower readers to build and deploy their own analytic methodologies. This book targets readers who already have working knowledge of location, dispersion, and distribution statistics, bivariate relationships (scatter plots and correlation coefficients), and statistical significance testing and is a reliable, well-rounded reference for furthering their knowledge of predictive analytics in sports. |
| columbia masters in business analytics: Durvue New Language - Dictionary Durga Madiraju, 2023-01-10 Durvue is a new language written by Author Durga Madiraju. Durvue Dictionary contains alphabets, numbers, words, seasons, days of week and other words. The book contains translation of Durvue language to English. The book also contains prayers of Visalakovue, and Anikaovue, a 110 namam, Prayers of Sincerity and others. The book also contains songs written in Durvue language along with the poem, A Tribute to a Father. Part 2 of the book contains poems, My autumn tree in my front garden, A dust every season, I need to clean, An autumn breeze, every an autumn, and others. Part 3 of book contains business rule paradigms that discuss the need to create accurate business rules under different case scenarios. The book also discusses tagging a business rule for a system verification |
| columbia masters in business analytics: Obtaining Value from Big Data for Service Systems, Volume I Stephen H. Kaisler, Frank Armour, J. Alberto Espinosa, William H. Money, 2019-05-29 This volume will assist readers in fitting big data analysis into their service-based organizations. Volume I of this two-volume series focuses on the role of big data in service delivery systems. It discusses the definition and orientation to big data, applications of it in service delivery systems, how to obtain results that can affect/enhance service delivery, and how to build an effective big data organization. This volume will assist readers in fitting big data analysis into their service-based organizations. It will also help readers understand how to improve the use of big data to enhance their service-oriented organizations. |
| columbia masters in business analytics: How to Get Published in the Best Marketing Journals David W. Stewart, Daniel M. Ladik, 2019 This essential guide, edited by experienced journal editors, is the definitive sourcebook for prospective authors who are seeking direction and advice about developing academic papers in marketing that will have a high probability of publication in the best journals in the discipline. It brings together a wealth of contributors, all of whom are experienced researchers and have been published in the leading marketing journals. |
| columbia masters in business analytics: Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning Segall, Richard S., Niu, Gao, 2022-01-07 During these uncertain and turbulent times, intelligent technologies including artificial neural networks (ANN) and machine learning (ML) have played an incredible role in being able to predict, analyze, and navigate unprecedented circumstances across a number of industries, ranging from healthcare to hospitality. Multi-factor prediction in particular has been especially helpful in dealing with the most current pressing issues such as COVID-19 prediction, pneumonia detection, cardiovascular diagnosis and disease management, automobile accident prediction, and vacation rental listing analysis. To date, there has not been much research content readily available in these areas, especially content written extensively from a user perspective. Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning is designed to cover a brief and focused range of essential topics in the field with perspectives, models, and first-hand experiences shared by prominent researchers, discussing applications of artificial neural networks (ANN) and machine learning (ML) for biomedical and business applications and a listing of current open-source software for neural networks, machine learning, and artificial intelligence. It also presents summaries of currently available open source software that utilize neural networks and machine learning. The book is ideal for professionals, researchers, students, and practitioners who want to more fully understand in a brief and concise format the realm and technologies of artificial neural networks (ANN) and machine learning (ML) and how they have been used for prediction of multi-disciplinary research problems in a multitude of disciplines. |
| columbia masters in business analytics: Patient Flow Randolph Hall, 2013-12-11 This book is dedicated to improving healthcare through reducing delays experienced by patients. With an interdisciplinary approach, this new edition, divided into five sections, begins by examining healthcare as an integrated system. Chapter 1 provides a hierarchical model of healthcare, rising from departments, to centers, regions and the “macro system.” A new chapter demonstrates how to use simulation to assess the interaction of system components to achieve performance goals, and Chapter 3 provides hands-on methods for developing process models to identify and remove bottlenecks, and for developing facility plans. Section 2 addresses crowding and the consequences of delay. Two new chapters (4 and 5) focus on delays in emergency departments, and Chapter 6 then examines medical outcomes that result from waits for surgeries. Section 3 concentrates on management of demand. Chapter 7 presents breakthrough strategies that use real-time monitoring systems for continuous improvement. Chapter 8 looks at the patient appointment system, particularly through the approach of advanced access. Chapter 9 concentrates on managing waiting lists for surgeries, and Chapter 10 examines triage outside of emergency departments, with a focus on allied health programs Section 4 offers analytical tools and models to support analysis of patient flows. Chapter 11 offers techniques for scheduling staff to match patterns in patient demand. Chapter 12 surveys the literature on simulation modeling, which is widely used for both healthcare design and process improvement. Chapter 13 is new and demonstrates the use of process mapping to represent a complex regional trauma system. Chapter 14 provides methods for forecasting demand for healthcare on a region-wide basis. Chapter 15 presents queueing theory as a method for modeling waits in healthcare, and Chapter 16 focuses on rapid delivery of medication in the event of a catastrophic event. Section 5 focuses on achieving change. Chapter 17 provides a diagnostic for assessing the state of a hospital and using the state assessment to select improvement strategies. Chapter 18 demonstrates the importance of optimizing care as patients transition from one care setting to the next. Chapter 19 is new and shows how to implement programs that improve patient satisfaction while also improving flow. Chapter 20 illustrates how to evaluate the overall portfolio of patient diagnostic groups to guide system changes, and Chapter 21 provides project management tools to guide the execution of patient flow projects. |
| columbia masters in business analytics: Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies Donald E. Brown, Chelsea C. White III, 2012-12-06 The purpose of this book is to introduce and explain research at the boundary between two fields that view problem solving from different perspectives. Researchers in operations research and artificial intelligence have traditionally remained separate in their activities. Recently, there has been an explosion of work at the border of the two fields, as members of both communities seek to leverage their activities and resolve problems that remain intractable to pure operations research or artificial intelligence techniques. This book presents representative results from this current flurry of activity and provides insights into promising directions for continued exploration. This book should be of special interest to researchers in artificial intelligence and operations research because it exposes a number of applications and techniques, which have benefited from the integration of problem solving strategies. Even researchers working on different applications or with different techniques can benefit from the descriptions contained here, because they provide insight into effective methods for combining approaches from the two fields. Additionally, researchers in both communities will find a wealth of pointers to challenging new problems and potential opportunities that exist at the interface between operations research and artificial intelligence. In addition to the obvious interest the book should have for members of the operations research and artificial intelligence communities, the papers here are also relevant to members of other research communities and development activities that can benefit from improvements to fundamental problem solving approaches. |
| columbia masters in business analytics: A Research Agenda for Knowledge Management and Analytics Jay Liebowitz, 2021-01-29 Leveraging the knowledge gained from Knowledge Management and from the growing fields of Analytics and Artificial Intelligence (AI), this Research Agenda highlights the research gaps, issues, applications, challenges and opportunities related to Knowledge Management (KM). Exploring synergies between KM and emerging technologies, leading international scholars and practitioners examine KM from a multidisciplinary perspective, demonstrating the ways in which knowledge sharing worldwide can be enhanced in order to better society and improve organisational performance. |
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