Advertisement
| cornell ms in business analytics: Culture and Commerce Mukti Khaire, 2017-06-20 Art and business are often described as worlds apart, even diametric opposites. And yet, these realms are close cousins in creative industries where firms bring cultural goods to market, attaching price tags to music, paintings, theater, literature, film, and fashion. Building on theories of value construction and cultural production, Culture and Commerce details the processes by which artistic worth is decoded, translated, and converted to economic value. Mukti Khaire introduces readers to three industry players: creators, producers (who bring to market and distribute cultural goods), and intermediaries (who critique and rave about them). Case studies of firms from Chanel and Penguin to tastemakers like the Pritzker Prize and The Sundance Institute illuminate how these professionals construct a vital value chain. Highlighting the role of pioneer entrepreneurs—who carve out space for radical, new product categories—Khaire illustrates how creative professionals influence our sense of value, shifting consumer behavior and our culture in deep, surprising ways. |
| cornell ms in business analytics: Foundations of Data Science Avrim Blum, John Hopcroft, Ravindran Kannan, 2020-01-23 This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data. |
| cornell ms in 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. |
| cornell ms in business analytics: Analytics Across the Enterprise Brenda L. Dietrich, Emily C. Plachy, Maureen F. Norton, 2014-05-15 How to Transform Your Organization with Analytics: Insider Lessons from IBM’s Pioneering Experience Analytics is not just a technology: It is a better way to do business. Using analytics, you can systematically inform human judgment with data-driven insight. This doesn’t just improve decision-making: It also enables greater innovation and creativity in support of strategy. Your transformation won’t happen overnight; however, it is absolutely achievable, and the rewards are immense. This book demystifies your analytics journey by showing you how IBM has successfully leveraged analytics across the enterprise, worldwide. Three of IBM’s pioneering analytics practitioners share invaluable real-world perspectives on what does and doesn’t work and how you can start or accelerate your own transformation. This book provides an essential framework for becoming a smarter enterprise and shows through 31 case studies how IBM has derived value from analytics throughout its business. Coverage Includes Creating a smarter workforce through big data and analytics More effectively optimizing supply chain processes Systematically improving financial forecasting Managing financial risk, increasing operational efficiency, and creating business value Reaching more B2B or B2C customers and deepening their engagement Optimizing manufacturing and product management processes Deploying your sales organization to increase revenue and effectiveness Achieving new levels of excellence in services delivery and reducing risk Transforming IT to enable wider use of analytics “Measuring the immeasurable” and filling gaps in imperfect data Whatever your industry or role, whether a current or future leader, analytics can make you smarter and more competitive. Analytics Across the Enterprise shows how IBM did it--and how you can, too. Learn more about IBM Analytics |
| cornell ms in business analytics: Retail Supply Chain Management Narendra Agrawal, Stephen A. Smith, 2015-04-20 This new edition focuses on three crucial areas of retail supply chain management: (1) empirical studies of retail supply chain practices, (2) assortment and inventory planning and (3) integrating price optimization into retail supply chain decisions. The book has been fully updated, expanding on the distinguishing features of the original, while offering three new chapters on recent topics which reflect areas of great interest and relevance to the academic and professional communities alike - inventory management in the presence of data inaccuracies, retail workforce management, and fast fashion retail strategies. The innovations, lessons for practice, and new technological solutions for managing retail supply chains are important not just in retailing, but offer crucial insights and strategies for the ultimate effective management of supply chains in other industries as well. The retail industry has emerged as a fascinating choice for researchers in the field of supply chain management. It presents a vast array of stimulating challenges that have long provided the context of much of the research in the area of operations research and inventory management. However, in recent years, advances in computing capabilities and information technologies, hyper-competition in the retail industry, emergence of multiple retail formats and distribution channels, an ever increasing trend towards a globally dispersed retail network, and a better understanding of the importance of collaboration in the extended supply chain have led to a surge in academic research on topics in retail supply chain management. Many supply chain innovations (e.g., vendor managed inventory) were first conceived and successfully validated in this industry, and have since been adopted in others. Conversely, many retailers have been quick to adopt cutting edge practices that first originated in other industries. Retail Supply Chain Management: Quantitative Models and Empirical Studies, 2nd Ed. is an attempt to summarize the state of the art in this research, as well as offer a perspective on what new applications may lie ahead. |
| cornell ms in business analytics: Behold the Dreamers Imbolo Mbue, 2016-08-23 A compulsively readable debut novel about marriage, immigration, class, race, and the trapdoors in the American Dream—the unforgettable story of a young Cameroonian couple making a new life in New York just as the Great Recession upends the economy New York Times Bestseller • Winner of the PEN/Faulkner Award • Longlisted for the PEN/Open Book Award • An ALA Notable Book NAMED ONE OF THE BEST BOOKS OF THE YEAR BY NPR • The New York Times Book Review • San Francisco Chronicle • The Guardian • St. Louis Post-Dispatch • Chicago Public Library • BookPage • Refinery29 • Kirkus Reviews Jende Jonga, a Cameroonian immigrant living in Harlem, has come to the United States to provide a better life for himself, his wife, Neni, and their six-year-old son. In the fall of 2007, Jende can hardly believe his luck when he lands a job as a chauffeur for Clark Edwards, a senior executive at Lehman Brothers. Clark demands punctuality, discretion, and loyalty—and Jende is eager to please. Clark’s wife, Cindy, even offers Neni temporary work at the Edwardses’ summer home in the Hamptons. With these opportunities, Jende and Neni can at last gain a foothold in America and imagine a brighter future. However, the world of great power and privilege conceals troubling secrets, and soon Jende and Neni notice cracks in their employers’ façades. When the financial world is rocked by the collapse of Lehman Brothers, the Jongas are desperate to keep Jende’s job—even as their marriage threatens to fall apart. As all four lives are dramatically upended, Jende and Neni are forced to make an impossible choice. Praise for Behold the Dreamers “A debut novel by a young woman from Cameroon that illuminates the immigrant experience in America with the tenderhearted wisdom so lacking in our political discourse . . . Mbue is a bright and captivating storyteller.”—The Washington Post “A capacious, big-hearted novel.”—The New York Times Book Review “Behold the Dreamers’ heart . . . belongs to the struggles and small triumphs of the Jongas, which Mbue traces in clean, quick-moving paragraphs.”—Entertainment Weekly “Mbue’s writing is warm and captivating.”—People (book of the week) “[Mbue’s] book isn’t the first work of fiction to grapple with the global financial crisis of 2007–2008, but it’s surely one of the best. . . . It’s a novel that depicts a country both blessed and doomed, on top of the world, but always at risk of losing its balance. It is, in other words, quintessentially American.”—NPR “This story is one that needs to be told.”—Bust “Behold the Dreamers challenges us all to consider what it takes to make us genuinely content, and how long is too long to live with our dreams deferred.”—O: The Oprah Magazine “[A] beautiful, empathetic novel.”—The Boston Globe “A witty, compassionate, swiftly paced novel that takes on race, immigration, family and the dangers of capitalist excess.”—St. Louis Post-Dispatch “Mbue [is] a deft, often lyrical observer. . . . [Her] meticulous storytelling announces a writer in command of her gifts.”—Minneapolis Star Tribune |
| cornell ms in business analytics: Essentials of Business Analytics Bhimasankaram Pochiraju, Sridhar Seshadri, 2019-07-10 This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter. |
| cornell ms in business analytics: Healthcare Data Analytics Chandan K. Reddy, Charu C. Aggarwal, 2015-06-23 At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available |
| cornell ms 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. |
| cornell ms in business analytics: Business Intelligence Roadmap Larissa Terpeluk Moss, S. Atre, 2003 This software will enable the user to learn about business intelligence roadmap. |
| cornell ms in business analytics: Global Logistics and Supply Chain Strategies for the 2020s Rico Merkert, Kai Hoberg, 2022-12-08 Logistics and supply chain management is facing disruptive economic, technological and climate change developments that require new strategies. New technologies such as the Internet-of-Things, digital manufacturing or blockchain are emerging quickly and could provide competitive advantage to those companies that leverage the technologies smartly while managers that do not adopt and embrace change could be left behind. Last but perhaps most important for mankind, sustainability aspects such as low-carbon transportation, closed loop supply chains or socially-responsible supply chain setups will become essential to operate successfully in the future. All these aspects will affect logistics and supply chains as a whole as well as different functional areas such as air cargo, maritime logistics or sourcing/procurement. This book aims to dive into several of these functional topics to highlight the key developments in the next decade predicted by leading global experts in the field. It features contributions and key insights of globally leading scholars and senior industry experts. Their forward-looking perspectives on the anticipated trends are aimed at informing the reader about how logistics and supply chain management will evolve in the next decade and which academic qualities and skills will be required to succeed in the new normal environment that will be characterized by volatile and increasingly disrupted business eco-systems. Future scenarios are envisaged to provide both practitioners and students with insights that will help them to adapt and succeed in a fast changing world. |
| cornell ms 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. |
| cornell ms in business analytics: Indian Economic Superpower Jayashankar M. Swaminathan, 2009 India is an emerging economy that intersects the supply chain of many companies and industries. This is the first book that allows you to learn about the state of the art of supply chain practices, innovative approaches, and the future outlook for India and its neighbors. The content is exceedingly rich and interesting, and will be highly valuable to academics and practitioners. |
| cornell ms in business analytics: Ask, Measure, Learn Lutz Finger, Soumitra Dutta, 2014-01-23 You can measure practically anything in the age of social media, but if you don’t know what you’re looking for, collecting mountains of data won’t yield a grain of insight. This non-technical guide shows you how to extract significant business value from big data with Ask-Measure-Learn, a system that helps you ask the right questions, measure the right data, and then learn from the results. Authors Lutz Finger and Soumitra Dutta originally devised this system to help governments and NGOs sift through volumes of data. With this book, these two experts provide business managers and analysts with a high-level overview of the Ask-Measure-Learn system, and demonstrate specific ways to apply social media analytics to marketing, sales, public relations, and customer management, using examples and case studies. |
| cornell ms in business analytics: Business Analytics Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, 2018-03-08 Build valuable skills that are in high demand in today’s businesses with Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' market-leading BUSINESS ANALYTICS, 3E. Readers master the full range of analytics while strengthening descriptive, predictive and prescriptive analytic skills. Real-world examples and visuals help illustrate data and results for each topic. Clear, step-by-step instructions guide readers through using various software programs, including Microsoft Excel, Analytic Solver, and JMP Pro, to perform the analyses discussed. Practical, relevant problems at all levels of difficulty reinforce and teach readers to apply the concepts learned. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version. |
| cornell ms in business analytics: Managerial Analytics Michael Watson, Derek Nelson, 2014 Analytics and Big Data Demystified, The up-to-the-minute introduction for every manager, Everything you need to know to get results!, Concepts, applications, tools, techniques, and pitfalls to avoid, How to derive more value from tools and data you already own, Want to start leveraging analytics and Big Data for profit? Managerial Analytics is your ideal first resource. Whatever your industry or management role, this up-to-date guide will help you get started fast, get started right, and quickly start driving value. Book jacket. |
| cornell ms in business analytics: Finance Without Fear William S. Hettinger, John Dolan-Heitlinger, 2011 Finance Without Fear should be read by anyone starting or managing a business. The easy-to-read style helps remove the fear of finance for the entrepreneur, the small business owner, and the manager. Finance does not need to be mysterious and intimidating. Basic business finance is not hard to understand, and the business owner or manager who understands finance has a leg up on the competition. Finance Without Fear explains the key financial statements the cash flow statement, profit and loss statement, and balance sheet and provides the tools to analyze these financial statements. Genuine case studies of small businesses a retail shop, small manufacturing business, and medical office - are used throughout, so you can compare the way your business works to the case studies, and to industry norms. In the short amount of time it will take to read Finance Without Fear, you will learn the basics of finance, and the keys to creating and managing a profitable business. |
| cornell ms in business analytics: Applied Conjoint Analysis Vithala R. Rao, 2014-02-20 Conjoint analysis is probably the most significant development in marketing research in the past few decades. It can be described as a set of techniques ideally suited to studying customers’ decision-making processes and determining tradeoffs. Though this book is oriented towards methods and applications of conjoint analysis in marketing, conjoint methods are also applicable for other business and social sciences. After an introduction to the basic ideas of conjoint analysis the book describes the steps involved in designing a ratings-based conjoint study, it covers various methods for estimating partworth functions from preference ratings data, and dedicates a chapter on methods of design and analysis of conjoint-based choice experiments, where choice is measured directly. Chapter 5 describes several methods for handling a large number of attributes. Chapters 6 through 8 discuss the use of conjoint analysis for specific applications like product and service design or product line decisions, product positioning and market segmentation decisions, and pricing decisions. Chapter 9 collates miscellaneous applications of marketing mix including marketing resource allocation or store location decisions. Finally, Chapter 10 reviews more recent developments in experimental design and data analysis and presents an assessment of future developments. |
| cornell ms in business analytics: The History Of Marketing Science Russell S Winer, Scott A Neslin, 2014-06-27 The field of marketing science has a rich history of modeling marketing phenomena using the disciplines of economics, statistics, operations research, and other related fields. Since it is roughly 50 years from its origins, The History of Marketing Science is a timely review of the accomplishments of marketing scientists in a number of research areas.Different research areas of marketing science, such as Pricing, Internet Marketing, Diffusion Models, and Advertising, are treated to a highly readable and easy-to-digest historical analysis by the contributing authors. Each chapter provides a chronological timeline of key historical developments in the area of marketing science covered. Readers of other disciplinary backgrounds outside of economics, statistics, and operations research will be more than able to appreciate the development of marketing science as a field of research and its pioneers through the book. |
| cornell ms in business analytics: Investing in Financial Research Cheryl Strauss Einhorn, 2019-03-15 Finalist in the Business/Personal Finance category of the 2019 International Book Awards Every day, people around the world make financial decisions. They choose to invest in a stock, sell their holdings in a mutual fund or buy a condominium. These decisions are complex and financially tricky—even for financial professionals. But the literature available on financial research is dated and narrowly focused without any real practical application. Until now there's been a gap in the literature: a book that shows you how to conduct a step by step comprehensive financial investigation that ends in a decision. This book gives you that how. Investing in Financial Research is a guidebook for conducting financial investigations and lays out Cheryl Strauss Einhorn's AREA Method—a research and decision-making system that uniquely controls for bias, focuses on the incentives of others and expands knowledge while improving judgement—and applies it to investigating financial situations. AREA is applicable to all sorts of financial sleuthing, whether for investment analysis or investigative journalism. It allows you to be the expert in your own life. The AREA Method provides you with: *Defined tasks that guide and focus your research on your vision of success; *A structure that isolates your sources, giving you insight into their perspectives, biases and incentives; *Investigative resources, tips and techniques to upgrade your research and analysis beyond document-based sources; *Exercises to foster creativity and originality in your thinking; *A sequence and framework that brings your disparate pieces of research together to build your confidence and conviction about your financial decision. |
| cornell ms in business analytics: Revenue Management and Pricing Analytics Guillermo Gallego, Huseyin Topaloglu, 2019-08-14 “There is no strategic investment that has a higher return than investing in good pricing, and the text by Gallego and Topaloghu provides the best technical treatment of pricing strategy and tactics available.” Preston McAfee, the J. Stanley Johnson Professor, California Institute of Technology and Chief Economist and Corp VP, Microsoft. “The book by Gallego and Topaloglu provides a fresh, up-to-date and in depth treatment of revenue management and pricing. It fills an important gap as it covers not only traditional revenue management topics also new and important topics such as revenue management under customer choice as well as pricing under competition and online learning. The book can be used for different audiences that range from advanced undergraduate students to masters and PhD students. It provides an in-depth treatment covering recent state of the art topics in an interesting and innovative way. I highly recommend it. Professor Georgia Perakis, the William F. Pounds Professor of Operations Research and Operations Management at the Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts. “This book is an important and timely addition to the pricing analytics literature by two authors who have made major contributions to the field. It covers traditional revenue management as well as assortment optimization and dynamic pricing. The comprehensive treatment of choice models in each application is particularly welcome. It is mathematically rigorous but accessible to students at the advanced undergraduate or graduate levels with a rich set of exercises at the end of each chapter. This book is highly recommended for Masters or PhD level courses on the topic and is a necessity for researchers with an interest in the field.” Robert L. Phillips, Director of Pricing Research at Amazon “At last, a serious and comprehensive treatment of modern revenue management and assortment optimization integrated with choice modeling. In this book, Gallego and Topaloglu provide the underlying model derivations together with a wide range of applications and examples; all of these facets will better equip students for handling real-world problems. For mathematically inclined researchers and practitioners, it will doubtless prove to be thought-provoking and an invaluable reference.” Richard Ratliff, Research Scientist at Sabre “This book, written by two of the leading researchers in the area, brings together in one place most of the recent research on revenue management and pricing analytics. New industries (ride sharing, cloud computing, restaurants) and new developments in the airline and hotel industries make this book very timely and relevant, and will serve as a critical reference for researchers.” Professor Kalyan Talluri, the Munjal Chair in Global Business and Operations, Imperial College, London, UK. |
| cornell ms in business analytics: Computational Intelligence Applications in Business Intelligence and Big Data Analytics Vijayan Sugumaran, Arun Kumar Sangaiah, Arunkumar Thangavelu, 2017-06-26 There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book. |
| cornell ms in business analytics: Handbook of Pricing Research in Marketing Vithala R. Rao, 2009 Pricing is an essential aspect of the marketing mix for brands and products. Further, pricing research in marketing is interdisciplinary, utilizing economic and psychological concepts with special emphasis on measurement and estimation. This unique Handbook provides current knowledge of pricing in a single, authoritative volume and brings together new cutting-edge research by established marketing scholars on a range of topics in the area. The environment in which pricing decisions and transactions are implemented has changed dramatically, mainly due to the advent of the Internet and the practices of advance selling and yield management. Over the years, marketing scholars have incorporated developments in game theory and microeconomics, behavioral decision theory, psychological and social dimensions and newer market mechanisms of auctions in their contributions to pricing research. These chapters, specifically written for this Handbook, cover these various developments and concepts as applied to tackling pricing problems. Academics and doctoral students in marketing and applied economics, as well as pricing-focused business practitioners and consultants, will appreciate the state-of-the-art research herein. |
| cornell ms in business analytics: The Cambridge Handbook of Compliance Benjamin van Rooij, D. Daniel Sokol, 2021-05-20 Compliance has become key to our contemporary markets, societies, and modes of governance across a variety of public and private domains. While this has stimulated a rich body of empirical and practical expertise on compliance, thus far, there has been no comprehensive understanding of what compliance is or how it influences various fields and sectors. The academic knowledge of compliance has remained siloed along different disciplinary domains, regulatory and legal spheres, and mechanisms and interventions. This handbook bridges these divides to provide the first one-stop overview of what compliance is, how we can best study it, and the core mechanisms that shape it. Written by leading experts, chapters offer perspectives from across law, regulatory studies, management science, criminology, economics, sociology, and psychology. This volume is the definitive and comprehensive account of compliance. |
| cornell ms in business analytics: Sleep for Success! Everything You Must Know About Sleep but Are Too Tired to Ask Dr. James B. Maas, Rebecca S. Robbins, 2011-01-28 Given the present, stress-inducing state of the economy and the world, there has never been a better time to provide a wake-up call on how to relax, get centered, get 8 hours of sleep and be happier and more successful. Recent research has shown us that when we get enough sleep, we are able to accomplish more in less time and with less stress and greater health. We dont need a 26-hour day. With more efficient and effective sleep habits, in our book, 24 hours is more than adequate. Our proposition is simple and compelling. Do you want to be healthier, more productive, energetic, creative, organized, efficient, and constantly expanding your potential? Do you want to be less stressed, happier, have a better relationship with yourself and others, and a deeper sense of well-being? What if you could take a few small steps every day that would enable you to eventually achieve all these things? You can. In fact, its easy. Sleep for Success!, a convincing, psychological approach to changing attitudes and behaviors, is written for anyone who wants to get a great nights sleep, feel wide-awake and be a peak performer all day. It pertains to executives, students, parents, athletes, children and senior citizens. If youre human, chances are that you are at least somewhat sleep deprived. Sleep for Success! can change your life literally overnight. |
| cornell ms in business analytics: The Agile Business Analyst Ryland Leyton, 2015-07-25 Written with special attention to the challenges facing the IT business analyst, The Agile Business Analyst is a fresh, comprehensive introduction to the concepts and practices of Agile software development. It is also an invaluable reference for anyone in the organization who interacts with, influences, or is affected by the Agile development team. Business analysts will learn the key Agile principles plus valuable tools and techniques for the transition to Agile, including: Card writing Story decomposition How to manage cards in an Agile workflow How to successfully respond to challenges about the value of the BA practice (with an elevator pitch for quick reference) Scrum masters, iteration managers, product owners, and developers who have been suddenly thrust into a work environment with a BA will find answers to the many questions they're facing: What does a BA actually do? What's their role on the team? What should I expect from a BA? How and when should I involve a BA, and what are the limits of their responsibility? How can they help my team increase velocity and/or quality? People managers and supervisors will discover: How the BA fits into the Agile team and SDLC Crucial skills and abilities a BA will need to be successful in Agile How to get the team and the new BA off on the right foot How to explain the BA's value proposition to others How adding a BA can solve problems in an established team Executives and directors will find answers to critical questions: In an Agile world, are BAs a benefit or just a cost to my organization? How do I get value from a BA in the transition to Agile? Can I get more from my development team by using the BA as a force multiplier? What expectations should I be setting for my discipline managers? With a foreword by Barbara Carkenord, The Agile Business Analyst is a must-read for any analyst working in an Agile environment. Fresh insights, practical recommendations, and detailed examples, all presented with an entertaining and enjoyable style. Leyton shares his experience, mentoring his reader to be a more effective analyst. He has hit a home run with this book! --Barbara Carkenord, Director, Business Analysis/RMC Learning Solutions Leyton does a great job explaining the value of analysis in an Agile environment. If you are a business-analysis practitioner and need help figuring out how you add value to your team, you'll find this book valuable. --Kupe Kupersmith, President, B2T Training |
| cornell ms in business analytics: Privacy in Context Helen Nissenbaum, 2009-11-24 Privacy is one of the most urgent issues associated with information technology and digital media. This book claims that what people really care about when they complain and protest that privacy has been violated is not the act of sharing information itself—most people understand that this is crucial to social life —but the inappropriate, improper sharing of information. Arguing that privacy concerns should not be limited solely to concern about control over personal information, Helen Nissenbaum counters that information ought to be distributed and protected according to norms governing distinct social contexts—whether it be workplace, health care, schools, or among family and friends. She warns that basic distinctions between public and private, informing many current privacy policies, in fact obscure more than they clarify. In truth, contemporary information systems should alarm us only when they function without regard for social norms and values, and thereby weaken the fabric of social life. |
| cornell ms in business analytics: Predictive Analytics for Business Strategy Jeff Prince, 2018 Reasoning with data -- Reasoning from sample to population -- The scientific method : the gold standard for establishing causality -- Linear regression as a fundamental descriptive tool -- Correlation vs. causality in regression analysis -- Basic methods for establishing causal inference -- Advanced methods for establishing causal inference -- Prediction for a dichotomous variable -- Identification and data assessment -- Applications data analysis critiques, write-ups, and projects -- Glossary |
| cornell ms in business analytics: Problem Solved Cheryl Strauss Einhorn, 2017-04-17 *International Book Awards Finalist It can be messy and overwhelming to figure out how to solve thorny problems. Where do you start? How do you know where to look for information and evaluate its quality and bias? How can you feel confident that you are making a careful and thoroughly researched decision? Whether you are deciding between colleges, navigating a career decision, helping your aging parents find the right housing, or expanding your business, Problem Solved will show you how to use the powerful AREA Method to make complex personal and professional decisions with confidence and conviction. Cheryl’s AREA Method coaches you to make smarter, better decisions because it: Recognizes that research is a fundamental part of decision making and breaks down the process into a series of easy-to-follow steps. Solves for problematic mental shortcuts such as bias, judgment, and assumptions. Builds in strategic stops that help you chunk your learning, stay focused, and make your work work for you. Provides a flexible and repeatable process that acts as a feedback loop. Life is filled with uncertainty, but that uncertainty needn’t hobble us. Problem Solved offers a proactive way to work with, and work through, ambiguity to make thoughtful, confident decisions despite our uncertain and volatile world. |
| cornell ms in business analytics: Hotel Revenue Management Dave Roberts, 2022-01-27 This book guides the reader from the building blocks of revenue management, to pricing science and merchandising, and to broader issues of setting objectives in support of a revenue strategy. The discipline is evolving, and that evolution has been accelerated by the COVID-19 pandemic. Leaders in hotel revenue management, and more broadly in sales & marketing, need to understand these changes, and lead and adapt accordingly. This will require a strong foundation in analytics–not just modeling, but also business analytics in support of a holistic strategy. As more of the tactics of revenue management are executed through automation, and powered by machine learning, revenue managers will become more focused on strategy and will need to think about revenue management in the context of marketing, loyalty, and distribution. As the strategy component of the discipline increases, so too must the breadth of knowledge of revenue managers. |
| cornell ms in business analytics: From Big Data to Big Profits Russell Walker, 2015-07-01 Technological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate. In recent years, leading analytical companies have begun to realize the value in their vast holdings of customer data and have found ways to leverage this untapped potential. Now, more firms are following suit and looking to monetize Big Data for big profits. Such changes will have implications for both businesses and consumers in the coming years. In From Big Data to Big Profits, Russell Walker investigates the use of Big Data to stimulate innovations in operational effectiveness and business growth. Walker examines the nature of Big Data and how businesses can use it to create new monetization opportunities. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of Big Data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way Big Data is created and used by companies. Such changes, as Walker points out, will require careful consideration of legal and unspoken business practices as they affect consumer privacy. Companies looking to develop a Big Data strategy will find great value in the SIGMA framework, which he has developed to assess companies for Big Data readiness and provide direction on the steps necessary to get the most from Big Data. Rigorous and meticulous, From Big Data to Big Profits is a valuable resource for students, researchers, and professionals with an interest in Big Data, digital platforms, and analytics |
| cornell ms in business analytics: Internet Auctions Ernan Haruvy, Peter T. L. Popkowski Leszczyc, 2010 Internet Auctions reviews recent empirical and theoretical works on internet auctions with a focus on internet auction design, formats, and features that are currently debated in the marketing literature. |
| cornell ms in business analytics: Thinking at Every Desk: Four Simple Skills to Transform Your Classroom Derek Cabrera, Laura Colosi, 2012-09-10 Cutting-edge skills for twenty-first-century learners and educators. Designed to transform teaching practice, this book provides the tools to understand thinking patterns and how learning actually happens. It empowers teachers to structure learning in the most meaningful way, helping students explore new paths to knowledge. |
| cornell ms in business analytics: IBM Smart Analytics Cloud Lydia Parziale, Andrey Avramenko, Simon Chan, Foulques de Valence, Christopher Dziekan, Michael Dziekan, Andrea Greggo, Christian Hagen, Douglas Lin, James Machung, Nicole Roik, IBM Redbooks, 2010-09-30 This IBM Redbooks® publication presents a Smart Analytics Cloud. The IBM Smart Analytics Cloud is an IBM offering to enable delivery of business intelligence and analytics at the customer location in a private cloud deployment. The offering leverages a combination of IBM hardware, software and services to offer customers a complete solution that is enabled at their site. In this publication, we provide the background and product information for decision-makers to proceed with a cloud solution. The content ranges from an introduction to cloud computing to details about our lab implementation. The core of the book discusses the business value, architecture, and functionality of a Smart Analytics Cloud. To provide deeper perspective, documentation is also provided about implementation of one specific Smart Analytics Cloud solution that we created in our lab environment. Additionally, we also describe the IBM Smart Analytics Cloud service offering that can help you create your own Smart Analytics cloud solution that is tailored to your business needs. |
| cornell ms in business analytics: Statistical Foundations of Data Science Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou, 2020-09-21 Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning. |
| cornell ms in business analytics: The Best 294 Business Schools Princeton Review (Firm), 2016 Provides a detailed overview of the best business schools across North America, including information on each school's academic program, competitiveness, financial aid, admissions requirements, and social scenes |
| cornell ms in business analytics: The Cornell School of Hotel Administration on Hospitality Michael C. Sturman, Jack B. Corgel, Rohit Verma, 2011-03-31 This cutting edge and comprehensive book with contributions from the star faculty of Cornell University's School of Hotel Administration offers the latest thinking on the best practices and strategies for hospitality management. A must for students and professionals seeking to enter or expand their reach in the hospitality industry, The Cornell School of Hotel Administration on Hospitality delivers the authoritative advice you need to: Develop and manage a multinational career and become a leader in the hospitality industry Maximize profits from franchise agreements, management contracts, and leases Understand and predict customer choices, and motivate your staff to provide outstanding service Manage hospitality businesses and the real estate underlying the businesses Control costs, coordinate branding strategy, and manage operations across multiple locations |
| cornell ms in business analytics: Stochastic Networks Paul Glasserman, Karl Sigman, David D. Yao, 2012-12-06 Two of the most exciting topics of current research in stochastic networks are the complementary subjects of stability and rare events - roughly, the former deals with the typical behavior of networks, and the latter with significant atypical behavior. Both are classical topics, of interest since the early days of queueing theory, that have experienced renewed interest mo tivated by new applications to emerging technologies. For example, new stability issues arise in the scheduling of multiple job classes in semiconduc tor manufacturing, the so-called re-entrant lines; and a prominent need for studying rare events is associated with the design of telecommunication systems using the new ATM (asynchronous transfer mode) technology so as to guarantee quality of service. The objective of this volume is hence to present a sample - by no means comprehensive - of recent research problems, methodologies, and results in these two exciting and burgeoning areas. The volume is organized in two parts, with the first part focusing on stability, and the second part on rare events. But it is impossible to draw sharp boundaries in a healthy field, and inevitably some articles touch on both issues and several develop links with other areas as well. Part I is concerned with the issue of stability in queueing networks. |
| cornell ms in business analytics: Global, Regional and Local Perspectives on the Economies of Southeastern Europe Alexandra Horobet, Lucian Belascu, Persefoni Polychronidou, Anastasios Karasavvoglou, 2020-12-12 This book includes papers presented at the 11th International Conference “Economies of the Balkan and Eastern European Countries” (EBEEC), held in Bucharest, Romania, in May 2019. It sheds new light on the micro- and macroeconomic developments in the Eastern European and Balkan countries, while at the same time taking into account the broader regional and global factors influencing these developments. By examining how the decisions and the performance of economic, social and political actors in the region are intertwined with wider regional and global events, the contributions highlight the dynamic development in Eastern Europe and the Balkans region. Further, the book demonstrates how the region has overcome numerous challenges in the past and is evolving within the framework of European economic integration and the global effervescent economy. |
| cornell ms in business analytics: Analysis For Strategic Marketing Vithala R.Rao, 2006-09 |
在康奈尔大学 (Cornell University) 就读是种怎样的体验？ - 知乎
但这里就分享一个好玩的经历吧，这件事我觉得真心是Cornell这样的名校才能给我的，而且是我看完《阿拉伯的劳伦斯》后一直神往的地方，那就是我在读书期间获得了沙特阿拉伯政府全额奖学金参加了 …
大家怎么看位于纽约市的 Cornell Tech（康奈尔科技校区）项目？
因为我在Cornell本部也读过，应该比较有发言权，我就来解释下这个事。Cornell一直因为它较偏僻的地理位置被诟病，所以Cornell长期以来都有在纽约的分校，而且分校和本部之间联系紧密。除 …
硕士毕业论文是深度学习相关，需要自己做数据集，但我做出来的 …
盲审的话有两个点可以毙掉你的论文： （1）自己做的数据集。一般算法创新需要在公开数据集上测试效果，如果需要特殊数据集，应该先在公开数据集上证明自己方法的有效性，然后再在自己数据集上展 …
常春藤、25所新常春藤、公立常春藤都是哪些学校？ - 知乎
康奈尔大学（Cornell University）#18; 新常春藤（25所） 范德堡大学（Vanderbilt University）#14; 圣路易斯华盛顿大学（Washington University in St. Louis）#16; 莱斯大学（Rice University）#16; …
如何评价英伟达发布的 Tesla V100 计算卡？ - 知乎
原文：Cornell University -> Cornell Virtual Workshop -> Understanding GPU Architecture -> GPU Example: Tesla V100. It's fine to have a general understanding of what graphics processing units …
致久坐腰疼的年轻人——七年总结的办公久坐护腰指南
Oct 24, 2023 · 根据2:1的规律，每天仍有至少有6小时以上的坐姿时间，更何况996的老哥门，每天至少有8小时需要坐在椅子上。
在康奈尔大学 (Cornell University) 就读是种怎样的体验？ - 知乎
但这里就分享一个好玩的经历吧，这件事我觉得真心是Cornell这样的名校才能给我的，而且是我看完《阿拉伯的劳伦斯》后一直神往的地方，那就是我在读书期间获得了沙特阿拉伯政府全额奖 …
大家怎么看位于纽约市的 Cornell Tech（康奈尔科技校区）项目？
因为我在Cornell本部也读过，应该比较有发言权，我就来解释下这个事。Cornell一直因为它较偏僻的地理位置被诟病，所以Cornell长期以来都有在纽约的分校，而且分校和本部之间联系紧密。 …
硕士毕业论文是深度学习相关，需要自己做数据集，但我做出来的 …
盲审的话有两个点可以毙掉你的论文： （1）自己做的数据集。一般算法创新需要在公开数据集上测试效果，如果需要特殊数据集，应该先在公开数据集上证明自己方法的有效性，然后再在自 …
常春藤、25所新常春藤、公立常春藤都是哪些学校？ - 知乎
康奈尔大学（Cornell University）#18; 新常春藤（25所） 范德堡大学（Vanderbilt University）#14; 圣路易斯华盛顿大学（Washington University in St. Louis）#16; 莱斯大 …
如何评价英伟达发布的 Tesla V100 计算卡？ - 知乎
原文：Cornell University -> Cornell Virtual Workshop -> Understanding GPU Architecture -> GPU Example: Tesla V100. It's fine to have a general understanding of what graphics processing …
致久坐腰疼的年轻人——七年总结的办公久坐护腰指南
Oct 24, 2023 · 根据2:1的规律，每天仍有至少有6小时以上的坐姿时间，更何况996的老哥门，每天至少有8小时需要坐在椅子上。
