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| cornell ms 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 business analytics: I'll Keep You Close Jeska Verstegen, 2021-10-05 Jeska doesn't know why her mother keeps the curtains drawn so tightly every day. And what exactly is she trying to drown out when she floods the house with Mozart? What are they hiding from? When Jeska's grandmother accidentally calls her by a stranger's name, she seizes her first clue to uncovering her family's past, and hopefully to all that's gone unsaid. With the help of an old family photo album, her father's encyclopedia collection, and the unquestioning friendship of a stray cat, the silence begins to melt into frightening clarity: Jeska's family survived a terror that they’ve worked hard to keep secret all her life. And somehow, it has both nothing and everything to do with her, all at once. A true story of navigating generational trauma as a child, I'll Keep You Close is about what comes after disaster: how survivors move forward, what they bring with them when they do, and the promise of beginning again while always keeping the past close. |
| cornell ms business analytics: The Power of Habit Charles Duhigg, 2012-02-28 NEW YORK TIMES BESTSELLER • This instant classic explores how we can change our lives by changing our habits. NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The Wall Street Journal • Financial Times In The Power of Habit, award-winning business reporter Charles Duhigg takes us to the thrilling edge of scientific discoveries that explain why habits exist and how they can be changed. Distilling vast amounts of information into engrossing narratives that take us from the boardrooms of Procter & Gamble to the sidelines of the NFL to the front lines of the civil rights movement, Duhigg presents a whole new understanding of human nature and its potential. At its core, The Power of Habit contains an exhilarating argument: The key to exercising regularly, losing weight, being more productive, and achieving success is understanding how habits work. As Duhigg shows, by harnessing this new science, we can transform our businesses, our communities, and our lives. With a new Afterword by the author “Sharp, provocative, and useful.”—Jim Collins “Few [books] become essential manuals for business and living. The Power of Habit is an exception. Charles Duhigg not only explains how habits are formed but how to kick bad ones and hang on to the good.”—Financial Times “A flat-out great read.”—David Allen, bestselling author of Getting Things Done: The Art of Stress-Free Productivity “You’ll never look at yourself, your organization, or your world quite the same way.”—Daniel H. Pink, bestselling author of Drive and A Whole New Mind “Entertaining . . . enjoyable . . . fascinating . . . a serious look at the science of habit formation and change.”—The New York Times Book Review |
| cornell ms 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 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 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 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 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 business analytics: DAT Joseph DiRienzo, John J. Ference, Nicole D. Cornell, Edwin H. Hines, John Swartwood, 2018-05-15 This brand new manual prepares dental school applicants across the United States and Canada to pass the required admissions test. It features: Three full-length model tests, including a diagnostic test All answers explained in detail Access to video tutorials from the authors, and more Test-takers will also find thorough reviews of all DAT test topics: a general survey of the natural sciences, including biology, chemistry, and organic chemistry, as well as testing for perceptual ability, reading comprehension, and quantitative reasoning. ONLINE PRACTICE TEST: Students will also get access to one additional full-length online DAT test with all questions answered and explained. This online exam can be easily accessed by smartphone, tablet, or computer. |
| cornell ms 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 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 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 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 business analytics: Analytics Across the Enterprise Brenda Dietrich, Emily C. Plachy, Maureen F. Norton, 2014 Analytics systematically informs human judgment with data-driven insight, improving decision-making and enabling greater innovation and creativity in support of strategy. This book hows how IBM has successfully leveraged analytics across the enterprise, worldwide. Through 31 case studies, the book shares real-world perspectives on what does and doesn't work and how to start or accelerate the business transformation. 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; and measuring the immeasurable and filling gaps in imperfect data. |
| cornell ms business analytics: The Analytic Hospitality Executive Kelly A. McGuire, 2016-08-22 Targeted analytics to address the unique opportunities in hospitality and gaming The Analytic Hospitality Executive helps decision makers understand big data and how it can drive value in the industry. Written by a leading business analytics expert who specializes in hospitality and travel, this book draws a direct link between big data and hospitality, and shows you how to incorporate analytics into your strategic management initiative. You'll learn which data types are critical, how to identify productive data sources, and how to integrate analytics into multiple business processes to create an overall analytic culture that turns information into insight. The discussion includes the tools and tips that help make it happen, and points you toward the specific places in your business that could benefit from advanced analytics. The hospitality and gaming industry has unique needs and opportunities, and this book's targeted guidance provides a roadmap to big data benefits. Like most industries, the hospitality and gaming industry is experiencing a rapid increase in data volume, variety, and velocity. This book shows you how to corral this growing current, and channel it into productive avenues that drive better business. Understand big data and analytics Incorporate analytics into existing business processes Identify the most valuable data sources Create a strategic analytic culture that drives value Although the industry is just beginning to recognize the value of big data, it's important to get up to speed quickly or risk losing out on benefits that could drive business to greater heights. The Analytic Hospitality Executive provides a targeted game plan from an expert on the inside, so you can start making your data work for you. |
| cornell ms 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 business analytics: Predictive Analytics For Business Using R Russell R Barton, 2024-07-16 The fields of mathematical statistics, statistical graphics, computer science and operations research have created the rich set of methods now called Analytics. Often analytics is characterized along three poles: descriptive analytics (what do data tell us), predictive analytics (what can be forecast based on the data, and with what certainty), and prescriptive analytics (how can the data inform changes to improve system performance).This book focuses on the second pole, predictive analytics. The areas of predicting a number, a class, and dynamic behavior are distinct, with different methods. This text has three parts based on these areas. Topics in predicting a number include simple and multiple linear regression, transformation of variables, analysis of observational data via cross-validation, the generalized linear model, designed experiments, and Gaussian process and neural network regression. Classification methods include neural networks, logistic regression, k-nearest neighbor, and linear discriminant analysis. Methods for predicting dynamic behavior include trend analysis, time series analysis and discrete-event dynamic simulation.Characterizing prediction uncertainty is a key focus of this text. The text provides analytic methods appropriate to each area, with an explicit process for applying such methods. Case data with corresponding R code are used to illustrate each method.Predictive Analytics for Business using R is designed for a hybrid class structure. Class sessions can be a blend of lecture format and flipped classroom case analyses. In a two-meetings-per-week fifteen-week structure, one day per week would be devoted to explaining methodology and presenting a case study, with the second day focused on coaching. Given the case structure, the text does not contain homework problems. Instead, at the end of each chapter there are links to cases posted online. |
| cornell ms 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 business analytics: The Consulting Apprenticeship Steve Shu, 2015-07-16 The Consulting Apprenticeship is written for business professionals and consultants with a focus on nuances passed on during apprenticeship regarding consulting delivery. Business professionals can benefit with a jump-start approach to applying consulting principles to their business. Designed for the busy professional, The Consulting Apprenticeship is a book of forty, quick-read ideas. These forty, short chapters are divided into four sections: Consulting Mindset - This section covers consulting ways of thinking and can be adopted by both company personnel and consultants. Consulting Techniques - This section covers specific tactics and toolkit methods when using consultative approaches in the trenches as either a company- or consulting firm-practitioner. Consulting Mastery - This section covers advanced perspectives on consulting and may be more useful to either company personnel evaluating consultants or mid- to senior-level consultants. Consulting Special Situations - Whereas the prior sections are applicable to a wide variety of situations, this section covers more infrequent, specific business situations involving consultative approaches in the trenches as either a company- or consulting firm-practitioner. Each chapter of the book concludes with an optional, takeaway exercise. The exercises vary widely in terms of level of involvement. For example, in some cases you can refer to online material. In other cases, you can engage in deeper thinking or apply the concepts over an extended period of time. However you choose to use this book, consulting mastery is a lifelong pursuit. I hope this book helps you with your journey. Stephen Shu Praise for The Consulting Apprenticeship When one of the companies I worked for needed help taking its consulting organization to the next level, I hired Steve Shu. His ability to drive our management team - all with different opinions on what we should or should not do - to a 'so-what' conclusion and pragmatic next steps gave us the jump start we needed. He is one of the best and deeply understands how consulting organizations should work. His book provides great techniques as well as tools you can use immediately. - Prakash Panjwani, CEO at WatchGuard Technologies, former President and CEO of SafeNet Steve Shu has put together a comprehensive guide to the all-important nuts and bolts of being a great consultant. The information in Chapter 21, 'Eight Secret Weapons of the Modern Consultant, ' is worth the price of the book. If you're serious about being a more effective consultant, read this book. - Michael McLaughlin, Author of Winning the Professional Services Sale and Principal Consultant at MindShare Consulting LLC; former Partner at Deloitte Steve Shu has written a hands-on, highly practical guide for new management consultants and internal corporate business strategists alike. So many projects fail because they do not practice the basic consulting project management hygiene Steve describes in chapter 11. If you are new to the trade and want to greatly increase your chance of delivering successful consulting projects, read this book. - Robert Reppa, Vice President Strategy at Johnson Controls and former Partner at Booz & Company Steve Shu has written a Rosetta Stone for both new and experienced consultants. Filled with forty power-packed ideas and practical chapter takeaways, Consulting Apprenticeship is structured for busy executives to easily digest each concept. A must read for those who seek to go beyond the shallow bromides of the consulting profession, and hone their skills with deeper, more meaningful approaches. - Adrian C. Ott, Award-winning author of The 24-Hour Customer, and CEO, Exponential Edge Inc, called One of Silicon Valley's most respected strategists by Consulting Magazine |
| cornell ms business analytics: Big Data Science in Finance Irene Aldridge, Marco Avellaneda, 2021-01-08 Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book: Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners. |
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