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Pricing Analytics, Haugom, Erik


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Цена: 7042.00р.
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Автор: Haugom, Erik
Название:  Pricing Analytics
ISBN: 9780367363239
Издательство: Taylor&Francis
Классификация:



ISBN-10: 0367363232
Обложка/Формат: Paperback
Страницы: 224
Вес: 0.45 кг.
Дата издания: 04.12.2020
Серия: Mastering business analytics
Язык: English
Иллюстрации: 44 tables, black and white; 191 line drawings, black and white; 235 illustrations, black and white
Размер: 174 x 245 x 20
Читательская аудитория: Undergraduate
Основная тема: Strategic Management
Подзаголовок: Tools and implementation with excel
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание: 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. It demonstrates implementation using the highly accessible Excel software, analytical tools, real life examples and global case studies.


Predictive HR Analytics: Mastering the HR Metric, 2 ed.

Автор: Edwards Martin, Edwards Kirsten
Название: Predictive HR Analytics: Mastering the HR Metric, 2 ed.
ISBN: 0749484446 ISBN-13(EAN): 9780749484446
Издательство: Kogan Page
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Цена: 10162.00 р.
Наличие на складе: Нет в наличии.

Описание: Confidently use predictive analytic and statistical techniques to identify key relationships and trends in HR-related data to aid strategic organizational decision-making.

Revenue Management and Pricing Analytics

Автор: Guillermo Gallego; Huseyin Topaloglu
Название: Revenue Management and Pricing Analytics
ISBN: 1493996045 ISBN-13(EAN): 9781493996049
Издательство: Springer
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Цена: 13415.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: “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.
Segmentation, Revenue Management and Pricing Analytics

Автор: Bodea
Название: Segmentation, Revenue Management and Pricing Analytics
ISBN: 0415898331 ISBN-13(EAN): 9780415898331
Издательство: Taylor&Francis
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Цена: 11023.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book guides students and professionals in identifying and exploiting revenue management and pricing opportunities to improve profit in different business contexts, using relevant concepts and quantitative methods.

Pricing analytics

Автор: Paczkowski, Walter R. (rutgers University, Usa)
Название: Pricing analytics
ISBN: 1138623938 ISBN-13(EAN): 9781138623934
Издательство: Taylor&Francis
Рейтинг:
Цена: 6430.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

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.

Introduction to Google Analytics

Автор: Todd Kelsey
Название: Introduction to Google Analytics
ISBN: 1484228286 ISBN-13(EAN): 9781484228289
Издательство: Springer
Рейтинг:
Цена: 3048.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Develop your digital/online marketing skills and learn web analytics to understand the performance of websites and ad campaigns. Approaches covered will be immediately useful for business or nonprofit organizations. If you are completely new to Google Analytics and you want to learn the basics, this guide will introduce you to the content quickly.
Web analytics is critical to online marketers as they seek to track return on investment and optimize their websites. Introduction to Google Analytics covers the basics of Google Analytics, starting with creating a blog, and monitoring the number of people who see the blog posts and where they come from.

What You'll Learn

  • Understand basic techniques to generate traffic for a blog or website
  • Review the performance of a website or campaign
  • Set up a Shopify account to track ROI
  • Create and maximize AdWords to track conversion
  • Discover opportunities offered by Google, including the Google Individual Qualification

Who This Book Is For

Those who need to get up to speed on Google Analytics tools and techniques for business or personal use. This book is also suitable as a student reference.
Big data analytics in supply chain management

Автор: Iman Rahimi, Amir H. Gandomi, Simon James Fong
Название: Big data analytics in supply chain management
ISBN: 0367407175 ISBN-13(EAN): 9780367407179
Издательство: Taylor&Francis
Рейтинг:
Цена: 26796.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book discusses the results of a recent large-scale achievement on Big Data Analytics (BDA) topics among Supply Chain Management (SCM) professionals The book intends to show a diversity of supply chain management issues that may benefit from BDA, both in theory and practice.

It`s All Analytics!

Автор: Burk, Scott , Miner, Gary
Название: It`s All Analytics!
ISBN: 0367359685 ISBN-13(EAN): 9780367359683
Издательство: Taylor&Francis
Рейтинг:
Цена: 9492.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject.

Global Entrepreneurship Analytics

Автор: Parra Bernal, Leon Dario , Argote Cusi, Milenka L
Название: Global Entrepreneurship Analytics
ISBN: 0367321173 ISBN-13(EAN): 9780367321178
Издательство: Taylor&Francis
Рейтинг:
Цена: 8420.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This innovative book proposes new methodologies for the measurement of entrepreneurship by applying techniques of demography, engineering, mathematics and statistics. This book will be of value to students at an advanced level, academics, and researchers in the fields of Entrepreneurship, Business analytics and Research Methodology.

Decision Support Systems V – Big Data Analytics for Decision Making

Автор: Boris Deliba?i?; Jorge E. Hern?ndez; Jason Papatha
Название: Decision Support Systems V – Big Data Analytics for Decision Making
ISBN: 3319185322 ISBN-13(EAN): 9783319185323
Издательство: Springer
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Цена: 4879.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 'Big Data' Decision Making Use Cases.- The Roles of Big Data in the Decision-Support Process: An Empirical Investigation.- Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda.- Making Sense of Governmental Activities Over Social Media: A Data-Driven Approach.- Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts.- The Effects of Performance Ratios in Predicting Corporate Bankruptcy: The Italian Case.- A Tangible Collaborative Decision Support System for Various Variants of the Vehicle Routing Problem.- Decision Support Model for Participatory Management of Water Resource.- Modeling Interactions Among Criteria in MCDM Methods: A Review.

Predictive analytics in human resource management

Автор: Nijjer, Shivinder (chitkara Business School, Punjab, India) Raj, Sahil (punjabi University, Patiala, Punjab, India)
Название: Predictive analytics in human resource management
ISBN: 0367460866 ISBN-13(EAN): 9780367460860
Издательство: Taylor&Francis
Рейтинг:
Цена: 7961.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume is a step by step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organizational impact, to aid in strategizing and better decision making.


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