Profit Optimization Using Advanced Analytics in the Airline and Travel Industry
Profit Optimization Using Advanced Analytics in the Airline and Travel Industry

Author: Gopal Ranganathan

Publisher: Createspace Independent Publishing Platform

Published: 2016-11-19

Total Pages: 202

ISBN-13: 9781533184849

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The airline industry has come a long way since deregulation in 1978. Yet its ROI to investors is lowest among all industries. This book provides the secrets of how advanced analytics helps profit optimization. It is written with candor to show the limitations of today's most widely used systems and how new futuristic systems are needed for optimized decision making. It describes the systems, process and governance that align the entire management from the CEO down to the managers in making profitable decisions every time. Using numerous cases from the commercial functions of sales, revenue management, marketing and network planning, the book provides an insider look into the sub-optimal decision processes today. It shows how embedding advanced analytics from enterprise perspective optimizes the decisions. It provides a playbook for the CIO and C-Suite to build and ensure governance of the models, data and process for enterprise analytics. Commercial airlines that adopt the advanced analytics paradigm shift will see direct competitive advantage and lasting change in profits. This is the type of change recommended by Gopal Ranganathan, industry consultant and founder of Quad Optima Analytics, a company dedicated to helping airlines have this advantage.

Airline Revenue Management
Airline Revenue Management

Author: Curt Cramer

Publisher: Springer Nature

Published: 2021-11-10

Total Pages: 122

ISBN-13: 3658337214

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The book provides a comprehensive overview of current practices and future directions in airline revenue management. It explains state-of-the-art revenue management approaches and outlines how these will be augmented and enhanced through modern data science and machine learning methods in the future. Several practical examples and applications will make the reader familiar with the relevance of the corresponding ideas and concepts for an airline commercial organization. The book is ideal for both students in the field of airline and tourism management as well as for practitioners and industry experts seeking to refresh their knowledge about current and future revenue management approaches, as well as to get an introductory understanding of data science and machine learning methods. Each chapter closes with a checkpoint, allowing the reader to deepen the understanding of the contents covered.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.

Making Websites Win
Making Websites Win

Author: Karl Blanks

Publisher: Conversion Rate Experts

Published: 2017-10-17

Total Pages:

ISBN-13: 9781544500539

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Most websites lose. Almost all of them. Many never make a profit. Others are successful at first, and then get crushed by competitors. This book is about how to buck the trend--to make websites that customers love and that are outrageously profitable. The methodology is based on the authors' award-winning work growing many of the world's biggest web companies--plus hundreds of smaller, market-leading companies in over eighty different industries. In this book, you'll get What successful web businesses do differently (and others get wrong) How to easily identify your website's biggest opportunities A treasure trove of proven solutions for growing businesses Discover how to grow your profits--by making winning websites that people love.

Analytics and Dynamic Customer Strategy
Analytics and Dynamic Customer Strategy

Author: John F. Tanner, Jr.

Publisher: John Wiley & Sons

Published: 2014-06-17

Total Pages: 256

ISBN-13: 1118919777

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Key decisions determine the success of big data strategy Dynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily be big data savvy. With expert insight and clear analysis, the book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance. Nearly seventy-five percent of marketers plan to adopt a big data analytics solution within two years, but many are likely to fail. Despite intensive planning, generous spending, and the best intentions, these initiatives will not succeed without a manager at the helm who is capable of handling the nuances of big data projects. This requires a new way of marketing, and a new approach to data. It means applying new models and metrics to brand new consumer behaviors. Dynamic Customer Strategy clarifies the situation, and highlights the key decisions that have the greatest impact on a company's big data plan. Topics include: Applying the elements of Dynamic Customer Strategy Acquiring, mining, and analyzing data Metrics and models for big data utilization Shifting perspective from model to customer Big data is a tremendous opportunity for marketers and may just be the only factor that will allow marketers to keep pace with the changing consumer and thus keep brands relevant at a time of unprecedented choice. But like any tool, it must be wielded with skill and precision. Dynamic Customer Strategy: Big Profits from Big Data helps marketers shape a strategy that works.

The Evolution of Yield Management in the Airline Industry
The Evolution of Yield Management in the Airline Industry

Author: Ben Vinod

Publisher: Springer Nature

Published: 2021-05-28

Total Pages: 417

ISBN-13: 3030704246

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This book chronicles airline revenue management from its early origins to the last frontier. Since its inception revenue management has now become an integral part of the airline business process for competitive advantage. The field has progressed from inventory control of the base fare, to managing bundles of base fare and air ancillaries, to the precise inventory control at the individual seat level. The author provides an end-to-end view of pricing and revenue management in the airline industry covering airline pricing, advances in revenue management, availability, and air shopping, offer management and product distribution, agency revenue management, impact of revenue management across airline planning and operations, and emerging technologies is travel. The target audience of this book is practitioners who want to understand the basics and have an end-to-end view of revenue management.

Quantitative Problem Solving Methods in the Airline Industry
Quantitative Problem Solving Methods in the Airline Industry

Author: Cynthia Barnhart

Publisher: Springer Science & Business Media

Published: 2011-12-21

Total Pages: 461

ISBN-13: 1461416078

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This book reviews operations research theory, applications and practice in airline planning and operations. It examines the business and technical landscape, details best practices, and identifies open questions and areas for future research.

Air Transport and Tourism
Air Transport and Tourism

Author: M.R. Dileep

Publisher: Routledge

Published: 2021-09-30

Total Pages: 566

ISBN-13: 1000451240

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Air Transport and Tourism: Interrelationship, Operations and Strategies is a comprehensive textbook covering all major aspects of air transport from operational and managerial perspectives, as well as exploring the intricate relationship that exists between the air transport and tourism industries. The book introduces and provides in-depth coverage of the complexities of the airline industry and the tourism industry and the ways in which they are connected and impact on each other, for example, the destination–airport–airline nexus, and the roles of air transport and airlines in tourism and vice versa. Emphasis is placed on current and future trends, the impact of COVID-19, sustainability and environmental challenges throughout. Comprehensive coverage of airline operations, strategic management and planning, airport operations and air transport information technology is also provided, offering a practical viewpoint on these vital aspects of the subject. This will be the ideal introductory textbook for students of tourism and hospitality studying courses in aviation and air travel.

Big Data and Innovation in Tourism, Travel, and Hospitality
Big Data and Innovation in Tourism, Travel, and Hospitality

Author: Marianna Sigala

Publisher: Springer

Published: 2019-02-26

Total Pages: 227

ISBN-13: 9811363390

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This book brings together multi-disciplinary research and practical evidence about the role and exploitation of big data in driving and supporting innovation in tourism. It also provides a consolidated framework and roadmap summarising the major issues that both researchers and practitioners have to address for effective big data innovation. The book proposes a process-based model to identify and implement big data innovation strategies in tourism. This process framework consists of four major parts: 1) inputs required for big data innovation; 2) processes required to implement big data innovation; 3) outcomes of big data innovation; and 4) contextual factors influencing big data exploitation and advances in big data exploitation for business innovation.

Nature-inspired Metaheuristic Algorithms
Nature-inspired Metaheuristic Algorithms

Author: Xin-She Yang

Publisher: Luniver Press

Published: 2010

Total Pages: 148

ISBN-13: 1905986289

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Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms. We also briefly introduce the photosynthetic algorithm, the enzyme algorithm, and Tabu search. Worked examples with implementation have been used to show how each algorithm works. This book is thus an ideal textbook for an undergraduate and/or graduate course. As some of the algorithms such as the harmony search and firefly algorithms are at the forefront of current research, this book can also serve as a reference book for researchers.

Big Data
Big Data

Author: Balamurugan Balusamy

Publisher: John Wiley & Sons

Published: 2021-04-13

Total Pages: 370

ISBN-13: 1119701821

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Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book.