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| columbia masters 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 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 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 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 business analytics: Handbook of Marketing Analytics Natalie Mizik, Dominique M. Hanssens, 2018 Marketing Science contributes significantly to the development and validation of analytical tools with a wide range of applications in business, public policy and litigation support. The Handbook of Marketing Analytics showcases the analytical methods used in marketing and their high-impact real-life applications. Fourteen chapters provide an overview of specific marketing analytic methods in some technical detail and 22 case studies present thorough examples of the use of each method in marketing management, public policy, and litigation support. All contributing authors are recognized authorities in their area of specialty. |
| columbia masters business analytics: Supply Chain Management on Demand Chae An, Hansjörg Fromm, 2006-01-16 Written by supply chain researchers, consultants, and practitioners, this book explains the newly emerging techniques and practices for highly efficient supply chain management, made possible by the rapid progress in information and communication technologies. |
| columbia masters business analytics: Recent Advancements in Computational Finance and Business Analytics Rangan Gupta, |
| columbia masters 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 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 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 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 business analytics: Fundamentals of Statistical Inference , 1977 |
| columbia masters 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 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 M |
| columbia masters 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 business analytics: The Exposome Gary W. Miller, 2013-11-16 The Exposome: A Primer is the first book dedicated to exposomics, detailing the purpose and scope of this emerging field of study, its practical applications and how it complements a broad range of disciplines. Genetic causes account for up to a third of all complex diseases. (As genomic approaches improve, this is likely to rise.) Environmental factors also influence human disease but, unlike with genetics, there is no standard or systematic way to measure the influence of environmental exposures. The exposome is an emerging concept that hopes to address this, measuring the effects of life-long environmental exposures on health and how these exposures can influence disease. This systematic introduction considers topics of managing and integrating exposome data (including maps, models, computation, and systems biology), -omics-based technologies, and more. Both students and scientists in disciplines including toxicology, environmental health, epidemiology, and public health will benefit from this rigorous yet readable overview. |
| columbia masters business analytics: Business Analytics Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, 2020-03-10 Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts. |
| columbia masters business analytics: The Small Worlds of Corporate Governance Bruce Kogut, 2012-05-11 An empirically rich study of the influence of social networks on corporate governance across countries and the emergence of a new transnational community. The financial crisis of 2008 laid bare the hidden network of relationships in corporate governance: who owes what to whom, who will stand by whom in times of crisis, what governs the provision of credit when no one seems to have credit. This book maps the influence of these types of economic and social networks—communities of agents (people or firms) and the ties among them—on corporate behavior and governance. The empirically rich studies in the book are largely concerned with mechanisms for the emergence of governance networks rather than with what determines the best outcomes. The chapters identify “structural breaks”—privatization, for example, or globalization—and assess why powerful actors across countries behaved similarly or differently in terms of network properties and corporate governance. The chapters examine, among other topics, the surprisingly heterogeneous network structures that contradict the common belief in a single Anglo-Saxon model; the variation in network trajectories among the formerly communist countries including China; signs of convergence in response to the common structural breaks in Europe; the growing structural power of women due to gains in gender diversity on corporate governance in Scandinavia; the “small world” of merger and acquisition activity in Germany and the United States; the properties of a global and transnational governance network; and application of agent-based models to understanding the emergence of governance. |
| columbia masters business analytics: Winning With Data Fiona Green, 2018-08-06 For many years, sports rights owners have had an ‘if you build it, they will come’ attitude, suggesting they take their fans for granted. Combined with advances in broadcasting quality, digital marketing, and social media, this has resulted in diminishing attendances and participation levels. The use of CRM (Customer Relationship Management), BI (Business Intelligence) and Data Analytics has therefore become integral to doing business in sports, emulating the approach used by brands such as Amazon, Netflix, and Spotify. Technology has made the world a smaller place; clubs and teams can now connect with their fans anywhere in the world, allowing them to grow their marketplace, but they operate in an ‘attention economy’ where there’s too much choice and engagement is key. This book sets out to share the processes and principles the sports industry uses to capitalise on the natural loyalty it creates. Case studies and commentary from around the world are used to demonstrate some of the practices implemented by the world’s leading sports brands including clubs Arsenal and the San Antonio Spurs. the governing bodies of UEFA and Special Olympics International, and the MLS and NHL. With a focus on our unique challenges coupled with the opportunities the use of data creates, this book is essential reading for professionals within the sports industry. |
| columbia masters business analytics: Pivoting Government through Digital Transformation Jay Liebowitz, 2023-08-16 Affecting every sector and country in the world, digital technology is changing the way citizens engage in society, companies conduct business, and governments deliver public services. The COVID-19 pandemic accelerated the pace of digitalization and exposed such vulnerabilities as inadequate infrastructure, weak regulations, and a scarcity of skilled professionals capable of digitally transforming government. Not immune to the digital revolution, governments are slowly adapting to a digital world. Governments are implementing digital solutions to deliver services to their citizens, make payments, and engage the public. Focusing on how government can transition more effectively through digital transformation, Pivoting Government Through Digital Transformation covers the following key components: Setting the stage during the Great Resignation period Filling the digital talent pipeline Best practices and vignettes for applying digital transformation in government Looking ahead towards the future Key chapter contributors from U.S. and foreign governments, as well as state and local governments, discuss how they are coping with today’s environment and how they are using digital transformation efforts to enhance their organization’s effectiveness and digital talent pipeline. With chapters on theory and practice, this groundbreaking book offers an in-depth analysis of the most innovative approaches to e-government and discusses case studies from local, state, and federal government perspectives. This is an essential guide for government employees, scholars, and regular citizens who want to make government work more effectively and democratically in the digital age. |
| columbia masters 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 business analytics: Digital Transformation And Society Jay Liebowitz, 2024-08-16 We have witnessed the growing worldwide trends in moving from digitization to digitalization to digital transformation. In order to survive in today's environment, organizations must embrace digital transformation. In fact, digital transformation transcends all elements of society, whether agriculture, home, business, transportation, and the like. This book focuses on digital transformation and its impact upon society. |
| columbia masters business analytics: Firewalls and Internet Security William R. Cheswick, Steven M. Bellovin, Aviel D. Rubin, 2003 Introduces the authors' philosophy of Internet security, explores possible attacks on hosts and networks, discusses firewalls and virtual private networks, and analyzes the state of communication security. |
| columbia masters business analytics: Digital Transformation For The University Of The Future Jay Liebowitz, 2022-08-08 With the COVID-19 pandemic, we have seen universities worldwide having to 'pivot' quickly to transform their education delivery to an online environment, as well as having to conduct their business operations virtually/remotely. For those universities who embraced digital transformation, they were able to adapt quickly to this new learning environment. Many others were not as successful. Part of the formula for success is for universities and other higher education institutions apply digital transformation technologies, processes, and leadership in this 'new normal'. This book will highlight what is needed in terms of digital transformation for the universities of the future in terms of technologies, processes, culture, and leadership considerations.The book will be part of the new World Scientific book series, Digital Transformation: Accelerating Organizational Intelligence.Related Link(s) |
| columbia masters business analytics: Regulating Hate Speech Created by Generative AI Jay Liebowitz, 2024-08-02 Regulating Hate Speech Created by Generative AI explores the new hybrid space of Human Machine Interaction (HMI) in which hate speech is represented and computed through algorithms and AI generative systems. The book is exploratory because there are still many problem-solving challenges to be faced. It is also innovative because it is not assuming that solutions lie only in technological advancements but on a broader scale. In this sense, large language models can and are being considered from a holistic view (i.e., from the different dimensions and layers of regulatory and legal governance). Highlights of the book include: Generative AI and social engines of hate An introduction to generative Artificial Intelligence application, trends, and ethics The mechanics and validation of generative AI outcomes An evaluation of Generative AI for hate speech detection Best practices and key considerations for AI regulation Using GenAI capabilities for early detection of threats in the digital environment. This book is a hard look at ways to regulate generative AI to reduce online hate and secure justice in a digital environment. Featuring research and offering practical guidelines, the book examines guidelines for regulating generative AI models, so they do not contribute to online hate disinformation and imagery. |
| columbia masters business analytics: Cryptocurrency Concepts, Technology, and Applications Jay Liebowitz, 2023-04-20 Whether the source is more industry-based or academic research, there certainly appears to be a growing interest in the field of cryptocurrency. The New York Times had a cover story on March 24, 2022, titled Time to Enter the Crypto Zone?, and they talked about institutional investors pouring billions into digital tokens, salaries being taken in Bitcoins, and even Bitcoin ATMs in grocery stores. Certainly, there have been ups and downs in crypto, but it has a kind of alluring presence that tempts one to include crypto as part of one’s portfolio. Those who are prime crypto-curious investors are usually familiar with the tech/pop culture and feel they want to diversify a bit in this fast-moving market. Even universities are beginning to offer more courses and create Centers on Cryptocurrency. Some universities are even requiring their students who take a crypto course to pay the course tuition via cryptocurrency. In response to the growing interest and fascination about the crypto industry and cryptocurrency in general, Cryptocurrency Concepts, Technology, and Applications brings together many leading worldwide contributors to discuss a broad range of issues associated with cryptocurrency. The book covers a wide array of crypto-related topics, including: Blockchain NFTs Data analytics and AI Crypto crime Crypto industry and regulation Crypto and public choice Consumer confidence Bitcoin and other cryptocurrencies. Presenting various viewpoints on where the crypto industry is heading, this timely book points out both the advantages and limitations of this emerging field. It is an easy-to-read, yet comprehensive, overview of cryptocurrency in the U.S. and international markets. |
| columbia masters business analytics: Doing Data Science Cathy O'Neil, Rachel Schutt, 2013-10-09 Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course. |
| columbia masters business analytics: Bayesian Data Analysis, Third Edition Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin, 2013-11-01 Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page. |
| columbia masters business analytics: ECKM 2023 24th European Conference on Knowledge Management Vol 2 Alvaro Rosa, 2023-09-07 These proceedings represent the work of contributors to the 24th European Conference on Knowledge Management (ECKM 2023), hosted by Iscte – Instituto Universitário de Lisboa, Portugal on 7-8 September 2023. The Conference Chair is Prof Florinda Matos, and the Programme Chair is Prof Álvaro Rosa, both from Iscte Business School, Iscte – Instituto Universitário de Lisboa, Portugal. ECKM is now a well-established event on the academic research calendar and now in its 24th year the key aim remains the opportunity for participants to share ideas and meet the people who hold them. The scope of papers will ensure an interesting two days. The subjects covered illustrate the wide range of topics that fall into this important and ever-growing area of research. The opening keynote presentation is given by Professor Leif Edvinsson, on the topic of Intellectual Capital as a Missed Value. The second day of the conference will open with an address by Professor Noboru Konno from Tama Graduate School and Keio University, Japan who will talk about Society 5.0, Knowledge and Conceptual Capability, and Professor Jay Liebowitz, who will talk about Digital Transformation for the University of the Future. With an initial submission of 350 abstracts, after the double blind, peer review process there are 184 Academic research papers, 11 PhD research papers, 1 Masters Research paper, 4 Non-Academic papers and 11 work-in-progress papers published in these Conference Proceedings. These papers represent research from Australia, Austria, Brazil, Bulgaria, Canada, Chile, China, Colombia, Cyprus, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, India, Iran, Iraq, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Kuwait, Latvia, Lithuania, Malaysia, México, Morocco, Netherlands, Norway, Palestine, Peru, Philippines, Poland, Portugal, Romania, South Africa, Spain, Sweden, Switzerland, Taiwan, Thailand, Tunisia, UK, United Arab Emirates and the USA. |
| columbia masters business analytics: Roar Michael Clinton, 2022-09-13 ROAR is for everyone who is thinking about where they are in life-and those who want more out of life. From author Michael Clinton, former president and publishing director of Hearst Magazines, ROAR helps both those considering retirement and those who have no wish to retire get on with fulfilling their dreams-before it's too late. We are living in a time when everyone is constantly reassessing what is next for them. In the mid-career group, people who have spent years working in a business are now seeing their industry changing dramatically and are facing the question: What does that mean for me in the next twenty years? At the same time, the post-career group is also going through massive change. Many in this group are still not prepared financially, logistically, or emotionally to make the decisions necessary to face the next phase of their lives. While they may be thinking about retiring, they don't necessarily want to do nothing. ROAR will help both groups think about what is really important to them, and how to plan and take meaningful action so that the second half of their lives can be happy and productive. The book offers a unique and dynamic 4-part process called ROAR: Reimagine yourself, Own who you are, Act on what's next, and Reassess your relationships. This is the method Michael uses himself to pursue a purposeful life-and now he shares his technique and approach so you can expand your own life too. Prescriptive and inspiring, with personal anecdotes from his life as well as from others he interviewed for the book, ROAR is highly accessible, entertaining, and transformative-- |
| columbia masters business analytics: The Directory of Venture Capital & Private Equity Firms Richard Gottlieb, 2008 |
| columbia masters business analytics: Learning Analytics in Education David Niemi, Roy D. Pea, Bror Saxberg, Richard E. Clark, 2018-08-01 This book provides a comprehensive introduction by an extraordinary range of experts to the recent and rapidly developing field of learning analytics. Some of the finest current thinkers about ways to interpret and benefit from the increasing amount of evidence from learners’ experiences have taken time to explain their methods, describe examples, and point out new underpinnings for the field. Together, they show how this new field has the potential to dramatically increase learner success through deeper understanding of the academic, social-emotional, motivational, identity and meta-cognitive context each learner uniquely brings. Learning analytics is much more than “analyzing learning data”—it is about deeply understanding what learning activities work well, for whom, and when. Learning Analytics in Education provides an essential framework, as well as guidance and examples, for a wide range of professionals interested in the future of learning. If you are already involved in learning analytics, or otherwise trying to use an increasing density of evidence to understand learners’ progress, these leading thinkers in the field may give you new insights. If you are engaged in teaching at any level, or training future teachers/faculty for this new, increasingly technology-enhanced learning world, and want some sense of the potential opportunities (and pitfalls) of what technology can bring to your teaching and students, these forward-thinking leaders can spark your imagination. If you are involved in research around uses of technology, improving learning measurements, better ways to use evidence to improve learning, or in more deeply understanding human learning itself, you will find additional ideas and insights from some of the best thinkers in the field here. If you are involved in making administrative or policy decisions about learning, you will find new ideas (and dilemmas) coming your way from inevitable changes in how we design and deliver instruction, how we measure the outcomes, and how we provide feedback to students, teachers, developers, administrators, and policy-makers. For all these players, the trick will be to get the most out of all the new developments to efficiently and effectively improve learning performance, without getting distracted by “shiny” technologies that are disconnected from how human learning and development actually work. |
| columbia masters business analytics: Intelligent Data Communication Technologies and Internet of Things Jude Hemanth, Robert Bestak, Joy Iong-Zong Chen, 2021-02-12 This book solicits the innovative research ideas and solutions for almost all the intelligent data intensive theories and application domains. The proliferation of various mobile and wireless communication networks has paved way to foster a high demand for intelligent data processing and communication technologies. The potential of data in wireless mobile networks is enormous, and it constitutes to improve the communication capabilities profoundly. As the networking and communication applications are becoming more intensive, the management of data resources and its flow between various storage and computing resources are posing significant research challenges to both ICT and data science community. The general scope of this book covers the design, architecture, modeling, software, infrastructure and applications of intelligent communication architectures and systems for big data or data-intensive applications. In particular, this book reports the novel and recent research works on big data, mobile and wireless networks, artificial intelligence, machine learning, social network mining, intelligent computing technologies, image analysis, robotics and autonomous systems, data security and privacy. |
| columbia masters business analytics: Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction Khosrow-Pour, D.B.A., Mehdi, 2018-09-28 As modern technologies continue to develop and evolve, the ability of users to adapt with new systems becomes a paramount concern. Research into new ways for humans to make use of advanced computers and other such technologies through artificial intelligence and computer simulation is necessary to fully realize the potential of tools in the 21st century. Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction provides emerging research in advanced trends in robotics, AI, simulation, and human-computer interaction. Readers will learn about the positive applications of artificial intelligence and human-computer interaction in various disciples such as business and medicine. This book is a valuable resource for IT professionals, researchers, computer scientists, and researchers invested in assistive technologies, artificial intelligence, robotics, and computer simulation. |
| columbia masters business analytics: The Code of Capital Katharina Pistor, 2020-11-03 Capital is the defining feature of modern economies, yet most people have no idea where it actually comes from. What is it, exactly, that transforms mere wealth into an asset that automatically creates more wealth? The Code of Capital explains how capital is created behind closed doors in the offices of private attorneys, and why this little-known fact is one of the biggest reasons for the widening wealth gap between the holders of capital and everybody else. In this revealing book, Katharina Pistor argues that the law selectively codes certain assets, endowing them with the capacity to protect and produce private wealth. With the right legal coding, any object, claim, or idea can be turned into capital - and lawyers are the keepers of the code. Pistor describes how they pick and choose among different legal systems and legal devices for the ones that best serve their clients' needs, and how techniques that were first perfected centuries ago to code landholdings as capital are being used today to code stocks, bonds, ideas, and even expectations--assets that exist only in law. A powerful new way of thinking about one of the most pernicious problems of our time, The Code of Capital explores the different ways that debt, complex financial products, and other assets are coded to give financial advantage to their holders. This provocative book paints a troubling portrait of the pervasive global nature of the code, the people who shape it, and the governments that enforce it.--Provided by publisher. |
| columbia masters 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 business analytics: Medical Informatics Kenneth R. Ong, William N. Kelly, 2015-03-27 This third edition of HIMSS' award-winning, bestseller explores how clinicians, patients, and health IT stakeholders are collaborating to support high-value care through health IT. Medical Informatics: An Executive Primer continues to explore information technologies applied in hospital settings, at the physician's office and in patients' homes to |
| columbia masters business analytics: ECKM 2023 24th European Conference on Knowledge Managemen Vol 1 , 2023-09-07 |
| columbia masters business analytics: Supply Chain Management in Manufacturing and Service Systems Sharan Srinivas, Suchithra Rajendran, Hans Ziegler, 2021-06-25 Management of supply chains has been evolving rapidly over the last few years due to the inception of Industry 4.0, where businesses adopt automation technologies and data exchanges leading to dynamic and interconnected supply chain systems. Emphasizing on analytical approaches such as predictive and prescriptive modeling, this book presents state-of-the-art original research work dealing with advanced analytical models for the design, planning, and operation of the supply chain to provide faster and smarter decisions in the era of digitization. In particular, the book integrates machine learning and operations research models for faster and smarter decisions, presents prescriptive analytics models for strategic, tactical, and operational decision making in the supply chain, and addresses recent challenges such as sustainability in the supply chain, supply chain visibility, and supply chain digitalization. Key concepts are illustrated using real-life case studies, making the book a valuable reference for researchers, technical professionals, and students. |
| columbia masters business analytics: Artificial Intelligence in Marketing K. Sudhir, Olivier Toubia, 2023-03-13 Review of Marketing Research pushes the boundaries of marketing—broadening the marketing concept to make the world a better place. Here, leading scholars explore how marketing is currently shaping, and being shaped by, the evolution of Artificial Intelligence (AI). |
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