Download or read book Pricing Analytics written by Walter R. Paczkowski and published by Routledge. This book was released on 2018-06-27 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theme of this book is simple. The price – the number someone puts on a product to help consumers decide to buy that product – comes from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory conjointly provide the background and framework for the models. Therefore, this book emphasizes two interlocking components of modeling: economic theory and statistical principles. The economic theory component is sufficient to provide understanding of the basic principles for pricing, especially about elasticities, which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of statistical modeling, so attention is paid to the concept and implications of elasticities. The statistical modeling component is advanced and detailed covering choice (conjoint, discrete choice, MaxDiff) and sales data modeling. Experimental design principles, model estimation approaches, and analysis methods are discussed and developed for choice models. Regression fundamentals have been developed for sales model specification and estimation and expanded for latent class analysis.

Download or read book Revenue Management and Pricing Analytics written by Guillermo Gallego and published by Springer. This book was released on 2019-08-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: “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.

Download or read book Essentials of Pricing Analytics written by Erik Haugom and published by Routledge. This book was released on 2020-11-29 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad introduction to the field of pricing as a tactical function in the daily operations of the firm and a toolbox for implementing and solving a wide range of pricing problems. Beyond the theoretical perspectives offered by most textbooks in the field, Essentials of Pricing Analytics supplements the concepts and models covered by demonstrating practical implementations using the highly accessible Excel software, analytical tools, real-life examples and global case studies. The book covers topics on fundamental pricing theory, break-even analysis, price sensitivity, empirical estimations of price–response functions, price optimisation, markdown optimisation, hedonic pricing, revenue management, the use of big data, simulation, and conjoint analysis in pricing decisions, and ethical and legal considerations. This is a uniquely accessible and practical text for advanced undergraduate, MBA and postgraduate students of pricing strategy, entrepreneurship and small business management, marketing strategy, sales and operations. It is also important reading for practitioners looking for accessible methods to implement pricing strategy and maximise profits. Online resources for instructors include Excel templates and PowerPoint slides for each chapter.

Download or read book Segmentation Revenue Management and Pricing Analytics written by Tudor Bodea and published by Routledge. This book was released on 2014-03-21 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The practices of revenue management and pricing analytics have transformed the transportation and hospitality industries, and are increasingly important in industries as diverse as retail, telecommunications, banking, health care and manufacturing. Segmentation, Revenue Management and Pricing Analytics guides students and professionals on how to identify and exploit revenue management and pricing opportunities in different business contexts. Bodea and Ferguson introduce concepts and quantitative methods for improving profit through capacity allocation and pricing. Whereas most marketing textbooks cover more traditional, qualitative methods for determining customer segments and prices, this book uses historical sales data with mathematical optimization to make those decisions. With hands-on practice and a fundamental understanding of some of the most common analytical models, readers will be able to make smarter business decisions and higher profits. This book will be a useful and enlightening read for MBA students in pricing and revenue management, marketing, and service operations.

Download or read book Pricing Online Marketing Behavior and Analytics written by G. Viglia and published by Springer. This book was released on 2014-05-09 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past few decades marketing practices have shifted with the sudden growth of social media and the proliferation of devices, platforms, and applications. This rapidly changing environment presents new opportunities and challenges for marketers, who need to stay up to date with the development of e-marketing. Viglia instructs readers in the theories and practices of online marketing;, detailing the characteristics, consumer behaviors, and differences between platforms, analytics, and pricing strategies of new media. Pricing, Online Marketing Behavior, and Analytics covers many different aspects of how online marketing works and its continuous evolution. Case studies and examples are used throughout the book to outline theories and explain e-marketing characteristics in a practical way.

Download or read book Pricing Segmentation and Analytics written by Tudor Bodea and published by . This book was released on 2012 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pricing analytics uses historical sales data with mathematical optimization to set and update prices offered through various channels in order to maximize profit. A familiar example is the passenger airline industry, where a carrier may sell seats on the same flight at many different prices. Pricing analytics practices have transformed the transportation and hospitality industries, and are increasingly important in industries as diverse as retail, telecommunications, banking, health care and manufacturing. The aim of this book is to guide students and professionals on how to identify and exploit pricing opportunities in different business contexts.

Download or read book Pricing and Profitability Management written by Julie Meehan and published by John Wiley & Sons. This book was released on 2011-06-28 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: The practical guide to using pricing and profitability management to build a better business A comprehensive reference for any business professional looking to understand the capabilities and competencies required for effectively managing pricing and profitability, Pricing and Profitability Management explains how to determine the right approach, tools, and techniques for each of six key categories (pricing strategy, price execution, advanced analytics and optimization, organizational alignment and governance, pricing technology and data management, and tax and regulatory effectiveness). Exploring each category in detail, the book addresses how an integrated approach to pricing improvement can give a sustainable, competitive advantage to any organization. The ultimate "how to" manual for any executive or manager interested in price management, the book presents a holistic, comprehensive framework that shows how integrating these pricing categories into a cohesive program leads to impressive gains that cannot be achieved through a single-pronged approach. Presents a comprehensive framework for more effectively managing pricing and profitability Identities the six key categories of pricing and profitability management Shows you how to gain a competitive edge by managing pricing and profitability Taking a comprehensive view of pricing, companies can position themselves to tap a vast source of shareholder value—the ability to set and enforce profitable prices, not just once, but again and again in response to marketplace changes and evolving business needs—and this book will show you how.

Download or read book Pricing and Revenue Optimization written by Robert Phillips and published by Stanford University Press. This book was released on 2005-08-05 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive introduction to the concepts, theories, and applications of pricing and revenue optimization. From the initial success of "yield management" in the commercial airline industry down to more recent successes of markdown management and dynamic pricing, the application of mathematical analysis to optimize pricing has become increasingly important across many different industries. But, since pricing and revenue optimization has involved the use of sophisticated mathematical techniques, the topic has remained largely inaccessible to students and the typical manager. With methods proven in the MBA courses taught by the author at Columbia and Stanford Business Schools, this book presents the basic concepts of pricing and revenue optimization in a form accessible to MBA students, MS students, and advanced undergraduates. In addition, managers will find the practical approach to the issue of pricing and revenue optimization invaluable. Solutions to the end-of-chapter exercises are available to instructors who are using this book in their courses. For access to the solutions manual, please contact [email protected].

Download or read book Marketing Analytics written by Rajkumar Venkatesan and published by University of Virginia Press. This book was released on 2021-01-13 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors of the pioneering Cutting-Edge Marketing Analytics return to the vital conversation of leveraging big data with Marketing Analytics: Essential Tools for Data-Driven Decisions, which updates and expands on the earlier book as we enter the 2020s. As they illustrate, big data analytics is the engine that drives marketing, providing a forward-looking, predictive perspective for marketing decision-making. The book presents actual cases and data, giving readers invaluable real-world instruction. The cases show how to identify relevant data, choose the best analytics technique, and investigate the link between marketing plans and customer behavior. These actual scenarios shed light on the most pressing marketing questions, such as setting the optimal price for one’s product or designing effective digital marketing campaigns. Big data is currently the most powerful resource to the marketing professional, and this book illustrates how to fully harness that power to effectively maximize marketing efforts.

Download or read book Analytics at Work written by Thomas H. Davenport and published by Harvard Business Press. This book was released on 2010 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a follow-up to the successful Competing on Analytics, authors Tom Davenport, Jeanne Harris, and Robert Morison provide practical frameworks and tools for all companies that want to use analytics as a basis for more effective and more profitable decision making. Regardless of your company's strategy, and whether or not analytics are your company's primary source of competitive differentiation, this book is designed to help you assess your organization's analytical capabilities, provide the tools to build these capabilities, and put analytics to work. The book helps you answer these pressing questions: What assets do I need in place in my organization in order to use analytics to run my business? Once I have these assets, how do I deploy them to get the most from an analytic approach? How do I get an analytic initiative off the ground in the first place, and then how do I sustain analytics in my organization over time? Packed with tools, frameworks, and all new examples, Analytics at Work makes analytics understandable and accessible and teaches you how to make your company more analytical.

Download or read book Sport Business Analytics written by C. Keith Harrison and published by CRC Press. This book was released on 2016-11-18 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing and implementing a systematic analytics strategy can result in a sustainable competitive advantage within the sport business industry. This timely and relevant book provides practical strategies to collect data and then convert that data into meaningful, value-added information and actionable insights. Its primary objective is to help sport business organizations utilize data-driven decision-making to generate optimal revenue from such areas as ticket sales and corporate partnerships. To that end, the book includes in-depth case studies from such leading sports organizations as the Orlando Magic, Tampa Bay Buccaneers, Duke University, and the Aspire Group. The core purpose of sport business analytics is to convert raw data into information that enables sport business professionals to make strategic business decisions that result in improved company financial performance and a measurable and sustainable competitive advantage. Readers will learn about the role of big data and analytics in: Ticket pricing Season ticket member retention Fan engagement Sponsorship valuation Customer relationship management Digital marketing Market research Data visualization. This book examines changes in the ticketing marketplace and spotlights innovative ticketing strategies used in various sport organizations. It shows how to engage fans with social media and digital analytics, presents techniques to analyze engagement and marketing strategies, and explains how to utilize analytics to leverage fan engagement to enhance revenue for sport organizations. Filled with insightful case studies, this book benefits both sports business professionals and students. The concluding chapter on teaching sport analytics further enhances its value to academics.

Download or read book Essentials of Business Analytics written by Bhimasankaram Pochiraju and published by Springer. This book was released on 2019-07-10 with total page 971 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Fixed Income Analytics written by Kenneth D. Garbade and published by MIT Press. This book was released on 1996 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bringing together 20 papers written by, and for, practitioners in the US treasury, this text on fixed income analysis, focuses on applicable techniques, and presents quantitative methodologies for the analysis of fixed income securities.

Download or read book Predictive Analytics written by Eric Siegel and published by John Wiley & Sons. This book was released on 2016-01-13 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

Download or read book Implementing Value Pricing written by Ronald J. Baker and published by John Wiley & Sons. This book was released on 2010-11-29 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for IMPLEMENTING VALUE PRICING A Radical Business Model for Professional Firms "Ron Baker is the most prolific and best writer when it comes to pricing services. This is a must-read for executives and partners in small to large firms. Ron provides the basics, the advanced ideas, the workbooks, the case studies everything. This is a must-have and a terrific book." Reed K. Holden founder and CEO, Holden Advisors, Corp., Associate Professor, Columbia University www.holdenadvisors.com "We've known through Ron Baker's earlier books that he's not just an extraordinary thinker and truly brilliant writer he's a mover and a shaker on a mission. This is the End of Time! Brilliant." Paul Dunn Chairman, B1G1® www.b1g1.com "Implementing Value Pricing is a powerful blend of theory, strategy, and tactics. Ron Baker's most recent offering is ambitious in scope, exploring topics that include economic theory, customer orientation, value identification, service positioning, and pricing strategy. He weaves all of them together seamlessly, and includes numerous examples to illustrate his primary points. I have applied the knowledge I've gained from his body of work, and the benefits to me and to my customers have been immediate, significant, and ongoing." Brent Uren Principal, Valuation & Business Modeling Ernst & Young® www.ey.com "Ron Baker is a revolutionary. He is on a radical crusade to align the interests of service providers with those of their customers by having lawyers, accountants, and consultants charge based on the value they provide, rather than the effort it takes. Implementing Value Pricing is a manifesto that establishes a clear case for the revolution. It provides detailed guidance that includes not only strategies and tactics, but key predictive indicators for success. It is richly illustrated by the successes of firms that have embraced value-based pricing to make their services not only more cost-effective for their customers, but more profitable as well. The hallmark of a manifesto is an unyielding sense of purpose and a call to action. Let the revolution begin." Robert G. Cross, Chairman and CEO, Revenue Analytics, Inc. Author, Revenue Management: Hard-Core Tactics for Market Domination

Download or read book The Pricing Puzzle written by Jan Y. Yang and published by Springer Nature. This book was released on 2020-08-24 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: The price of virtually any product or service can reveal intriguing stories. The author looks back at his own decade-long pricing journey and shares some of the most exciting and insightful pricing stories, allowing readers to see the world from a different angle. From pricing a chilled Coke in Tehran, to iPhone, to explaining the fall of MUJI, this book reveals the rationales behind and outcomes of various pricing strategies. The author also presents a number of stories from China, a "price wonderland" in which he, both as a consumer and a pricing consultant, has observed unconventional pricing practices rarely found elsewhere, such as the frequent use of negative prices among tech unicorns, i.e., sellers paying consumers to use their products. Structured as a collection of short stories, the book offers a delightful and eye-opening reading experience for business owners, managers, and anyone interested in understanding what prices are, and how pricing works and interacts with us as customers.

Download or read book Price Analytics written by Stephan Sorger and published by . This book was released on 2020-08-14 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Price Analytics: Strategy, Tactics and Execution offers pricing students and professionals a practical, structured and comprehensive guide to price analytics. The book covers a number of price models, considerations, and industry examples to guide students and professionals in their pricing efforts. The insight gained from the content can drive organizational profitability and customer satisfaction. Chapters include: Chapter 1: Introduction; Chapter 2: Price and Economics; Chapter 3: Price and Value; Chapter 4: Price Sensitivity; Chapter 5: Price Psychology; Chapter 6: Basic Price Techniques; Chapter 7: Price Segmentation; Chapter 8: Price Competition; Chapter 9: Price Changes; Chapter 10: Price and Product Management; Chapter 11: Pricing Online; Chapter 12: Price for Business to Business; Chapter 13: Price and Profitability; Chapter 14: Pricing Internationally; Chapter 15: Price Laws and Ethics; Chapter 16: Price Implementation