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Customer Analytics Capabilities A Complete Guide 2020 Edition
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Book Synopsis Marketing Analytics by : Mike Grigsby
Download or read book Marketing Analytics written by Mike Grigsby and published by Kogan Page Publishers. This book was released on 2018-04-03 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Who is most likely to buy and what is the best way to target them? How can businesses improve strategy without identifying the key influencing factors? The second edition of Marketing Analytics enables marketers and business analysts to leverage predictive techniques to measure and improve marketing performance. By exploring real-world marketing challenges, it provides clear, jargon-free explanations on how to apply different analytical models for each purpose. From targeted list creation and data segmentation, to testing campaign effectiveness, pricing structures and forecasting demand, this book offers a welcome handbook on how statistics, consumer analytics and modelling can be put to optimal use. The fully revised second edition of Marketing Analytics includes three new chapters on big data analytics, insights and panel regression, including how to collect, separate and analyze big data. All of the advanced tools and techniques for predictive analytics have been updated, translating models such as tobit analysis for customer lifetime value into everyday use. Whether an experienced practitioner or having no prior knowledge, methodologies are simplified to ensure the more complex aspects of data and analytics are fully accessible for any level of application. Complete with downloadable data sets and test bank resources, this book supplies a concrete foundation to optimize marketing analytics for day-to-day business advantage.
Book Synopsis Guide to Business Data Analytics by : Iiba
Download or read book Guide to Business Data Analytics written by Iiba and published by . This book was released on 2020-08-07 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Guide to Business Data Analytics provides a foundational understanding of business data analytics concepts and includes how to develop a framework; key techniques and application; how to identify, communicate and integrate results; and more. This guide acts as a reference for the practice of business data analytics and is a companion resource for the Certification in Business Data Analytics (IIBA(R)- CBDA). Explore more information about the Certification in Business Data Analytics at IIBA.org/CBDA. About International Institute of Business Analysis International Institute of Business Analysis(TM) (IIBA(R)) is a professional association dedicated to supporting business analysis professionals deliver better business outcomes. IIBA connects almost 30,000 Members, over 100 Chapters, and more than 500 training, academic, and corporate partners around the world. As the global voice of the business analysis community, IIBA supports recognition of the profession, networking and community engagement, standards and resource development, and comprehensive certification programs. IIBA Publications IIBA publications offer a wide variety of knowledge and insights into the profession and practice of business analysis for the entire business community. Standards such as A Guide to the Business Analysis Body of Knowledge(R) (BABOK(R) Guide), the Agile Extension to the BABOK(R) Guide, and the Global Business Analysis Core Standard represent the most commonly accepted practices of business analysis around the globe. IIBA's reports, research, whitepapers, and studies provide guidance and best practices information to address the practice of business analysis beyond the global standards and explore new and evolving areas of practice to deliver better business outcomes. Learn more at iiba.org.
Book Synopsis The Analytics Lifecycle Toolkit by : Gregory S. Nelson
Download or read book The Analytics Lifecycle Toolkit written by Gregory S. Nelson and published by John Wiley & Sons. This book was released on 2018-03-07 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: An evidence-based organizational framework for exceptional analytics team results The Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization. Author Gregory Nelson has encountered hundreds of unique perspectives on analytics optimization from across industries; over the years, successful strategies have proven to share certain practices, skillsets, expertise, and structural traits. In this book, he details the concepts, people and processes that contribute to exemplary results, and shares an organizational framework for analytics team functions and roles. By merging analytic culture with data and technology strategies, this framework creates understanding for analytics leaders and a toolbox for practitioners. Focused on team effectiveness and the design thinking surrounding product creation, the framework is illustrated by real-world case studies to show how effective analytics team leadership works on the ground. Tools and templates include best practices for process improvement, workforce enablement, and leadership support, while guidance includes both conceptual discussion of the analytics life cycle and detailed process descriptions. Readers will be equipped to: Master fundamental concepts and practices of the analytics life cycle Understand the knowledge domains and best practices for each stage Delve into the details of analytical team processes and process optimization Utilize a robust toolkit designed to support analytic team effectiveness The analytics life cycle includes a diverse set of considerations involving the people, processes, culture, data, and technology, and managers needing stellar analytics performance must understand their unique role in the process of winnowing the big picture down to meaningful action. The Analytics Lifecycle Toolkit provides expert perspective and much-needed insight to managers, while providing practitioners with a new set of tools for optimizing results.
Book Synopsis The Definitive Guide to DAX by : Alberto Ferrari
Download or read book The Definitive Guide to DAX written by Alberto Ferrari and published by Microsoft Press. This book was released on 2015-10-14 with total page 1515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens under the hood when you run a DAX expression, how DAX behaves differently from other languages, and how to use this knowledge to write fast, robust code. If you want to leverage all of DAX’s remarkable power and flexibility, this no-compromise “deep dive” is exactly what you need. Perform powerful data analysis with DAX for Microsoft SQL Server Analysis Services, Excel, and Power BI Master core DAX concepts, including calculated columns, measures, and error handling Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions Perform time-based calculations: YTD, MTD, previous year, working days, and more Work with expanded tables, complex functions, and elaborate DAX expressions Perform calculations over hierarchies, including parent/child hierarchies Use DAX to express diverse and unusual relationships Measure DAX query performance with SQL Server Profiler and DAX Studio
Download or read book Lean Analytics written by Alistair Croll and published by "O'Reilly Media, Inc.". This book was released on 2024-02-23 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products
Download or read book Lean CX written by Robert Dew and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-04-06 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, many companies have realised customer experience (CX) is the new marketing battle ground. Substantial investments have been made to map customer journeys, identify pain points and improve CX to try and create cut-through. Using real world applications to introduce next generation design tools based on proven concepts from strategy, marketing, psychology and creative problem solving, Lean CX: How to Differentiate at Low Cost and Least Risk discusses how to use Lean Management approaches to innovate your customer experience. This practical book describes how the tools from Lean Management can be applied to the CX innovation problem. The authors draw on hundreds of CX design and strategic innovation projects across a range of industries, both B2B and B2C, from primary research through client work and secondary case studies available in the public domain. The examples include many different vertical industry sectors, including those involving hybrid business models. The cases included share what worked really well and where CX failed. The content goes beyond what actually happened to present an idea of what might be possible with the right design approach and committed resources.
Book Synopsis HBR Guide to Data Analytics Basics for Managers (HBR Guide Series) by : Harvard Business Review
Download or read book HBR Guide to Data Analytics Basics for Managers (HBR Guide Series) written by Harvard Business Review and published by Harvard Business Press. This book was released on 2018-03-13 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others. You'll learn how to: Identify the metrics you need to measure Run experiments and A/B tests Ask the right questions of your data experts Understand statistical terms and concepts Create effective charts and visualizations Avoid common mistakes
Book Synopsis A Complete Guide to the Futures Markets by : Jack D. Schwager
Download or read book A Complete Guide to the Futures Markets written by Jack D. Schwager and published by John Wiley & Sons. This book was released on 1984-06-29 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition will be available in January 2017 Focusing on price-forecasting in the commodity futures market, this is the most comprehensive examination of fundamental and technical analysis available. Treats both approaches in depth, with forecasting examined in conjunction with practical trading considerations.
Book Synopsis AWS Certified Data Analytics Study Guide with Online Labs by : Asif Abbasi
Download or read book AWS Certified Data Analytics Study Guide with Online Labs written by Asif Abbasi and published by John Wiley & Sons. This book was released on 2021-04-13 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Virtual, hands-on learning labs allow you to apply your technical skills in realistic environments. So Sybex has bundled AWS labs from XtremeLabs with our popular AWS Certified Data Analytics Study Guide to give you the same experience working in these labs as you prepare for the Certified Data Analytics Exam that you would face in a real-life application. These labs in addition to the book are a proven way to prepare for the certification and for work as an AWS Data Analyst. AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam is intended for individuals who perform in a data analytics-focused role. This UPDATED exam validates an examinee's comprehensive understanding of using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data. It assesses an examinee's ability to define AWS data analytics services and understand how they integrate with each other; and explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and visualization. The book focuses on the following domains: • Collection • Storage and Data Management • Processing • Analysis and Visualization • Data Security This is your opportunity to take the next step in your career by expanding and validating your skills on the AWS cloud. AWS is the frontrunner in cloud computing products and services, and the AWS Certified Data Analytics Study Guide: Specialty exam will get you fully prepared through expert content, and real-world knowledge, key exam essentials, chapter review questions, and much more. Written by an AWS subject-matter expert, this study guide covers exam concepts, and provides key review on exam topics. Readers will also have access to Sybex's superior online interactive learning environment and test bank, including chapter tests, practice exams, a glossary of key terms, and electronic flashcards. And included with this version of the book, XtremeLabs virtual labs that run from your browser. The registration code is included with the book and gives you 6 months of unlimited access to XtremeLabs AWS Certified Data Analytics Labs with 3 unique lab modules based on the book.
Book Synopsis Elasticsearch: The Definitive Guide by : Clinton Gormley
Download or read book Elasticsearch: The Definitive Guide written by Clinton Gormley and published by "O'Reilly Media, Inc.". This book was released on 2015-01-23 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships. If you’re a newcomer to both search and distributed systems, you’ll quickly learn how to integrate Elasticsearch into your application. More experienced users will pick up lots of advanced techniques. Throughout the book, you’ll follow a problem-based approach to learn why, when, and how to use Elasticsearch features. Understand how Elasticsearch interprets data in your documents Index and query your data to take advantage of search concepts such as relevance and word proximity Handle human language through the effective use of analyzers and queries Summarize and group data to show overall trends, with aggregations and analytics Use geo-points and geo-shapes—Elasticsearch’s approaches to geolocation Model your data to take advantage of Elasticsearch’s horizontal scalability Learn how to configure and monitor your cluster in production
Book Synopsis Jumpstart Snowflake by : Dmitry Anoshin
Download or read book Jumpstart Snowflake written by Dmitry Anoshin and published by Apress. This book was released on 2019-12-20 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the modern market of data analytics platforms and the benefits of using Snowflake computing, the data warehouse built for the cloud. With the rise of cloud technologies, organizations prefer to deploy their analytics using cloud providers such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Cloud vendors are offering modern data platforms for building cloud analytics solutions to collect data and consolidate into single storage solutions that provide insights for business users. The core of any analytics framework is the data warehouse, and previously customers did not have many choices of platform to use. Snowflake was built specifically for the cloud and it is a true game changer for the analytics market. This book will help onboard you to Snowflake, present best practices to deploy, and use the Snowflake data warehouse. In addition, it covers modern analytics architecture and use cases. It provides use cases of integration with leading analytics software such as Matillion ETL, Tableau, and Databricks. Finally, it covers migration scenarios for on-premise legacy data warehouses. What You Will Learn Know the key functionalities of Snowflake Set up security and access with cluster Bulk load data into Snowflake using the COPY command Migrate from a legacy data warehouse to Snowflake integrate the Snowflake data platform with modern business intelligence (BI) and data integration tools Who This Book Is For Those working with data warehouse and business intelligence (BI) technologies, and existing and potential Snowflake users
Book Synopsis Technical Analysis, Study Guide by : Jack D. Schwager
Download or read book Technical Analysis, Study Guide written by Jack D. Schwager and published by John Wiley & Sons. This book was released on 1997-10-02 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive guide to technical analysis . . . written from a trader's perspective With the keen insight and perspective that have made him a market legend, Jack D. Schwager explores, explains, and examines the application of technical analysis in futures trading. In the most in-depth, comprehensive book available, the bestselling investment writer demonstrates why he is one of today's foremost authorities. Here is the one volume no trader should be without. "Jack Schwager has accomplished the rarest of feats in this book. He has presented material in a way that both the professional and layman can profit from. It is a must read for traders on all levels." - Stanley Druckenmillern Managing Director, Soros Fund Management "Jack Schwager's Technical Analysis is exactly what one should expect from this expert on futures. The book is comprehensive, thoroughly insightful, and highly educational. I recommend it to the beginner as well as the expert." - Leo Melamed Chairman, Sakura Dellsher, Inc. "Jack Schwager possesses a remarkable ability to extract the important elements of complex, market-timing approaches, and distill that into something intelligible and useful. Not only is he able to present these ideas cleverly in an easily understood format, but he also demonstrates their application to the markets with clarity and precision." - Thomas R. DeMark Author, The New Science of Technical Analysis "Jack Schwager's book, A Complete Guide to the Futures Markets, was one of the best books I have read on futures trading. We give a copy of it to all our new analysts. Jack's latest work, Technical Analysis, looks like a gold mine of information, adding significantly to the existing investment literature." - Monroe Trout President, Trout Trading Management Co. Jack Schwager is one of the most important and visible figures in the futures industry today. His Market Wizards and The New Market Wizards are two of the bestselling finance titles of all time. Now, in the latest volume in the Schwager on Futures series, Technical Analysis, Schwager has created the most comprehensive guide ever for using technical analysis for futures trading. What makes Technical Analysis unique, besides its in-depth coverage, is that it is written from a trader's perspective. Schwager doesn't merely cover the subject, he explores what works and doesn't work in the real world of trading. Contains a comprehensive guide to chart analysis written with a particular focus on trading applications * Includes a separate 200+ page section illustrating the use of chart analysis in the real world * Details and illustrates several original trading systems * Includes a self-contained primer on cyclical analysis * Describes popular oscillators, the pitfalls in their common use, and guidelines to their successful application in trading * Explains the concept and use of "continuous futures" and compares 10-year continuous futures charts with conventional nearest futures charts for all major U.S. futures markets * Contains a section on trading strategy and philosophy, including over 100 trading tips Hundreds of charts, tables, and examples illustrate key points throughout, while the text is written in the informative, insightful, and nontechnical style that has made Jack Schwager one of the most highly regarded and bestselling investment authors ever. This invaluable book by one of the world's foremost authorities is destined to become the premier industry guide on technical analysis for many years to come.
Book Synopsis Marketing Analytics by : Mike Grigsby
Download or read book Marketing Analytics written by Mike Grigsby and published by Kogan Page Publishers. This book was released on 2015-06-03 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Who is most likely to buy and what is the best way to target them? Marketing Analytics enables marketers and business analysts to answer these questions by leveraging proven methodologies to measure and improve upon the effectiveness of marketing programs. Marketing Analytics demonstrates how statistics, analytics and modeling can be put to optimal use to increase the effectiveness of every day marketing activities, from targeted list creation and data segmentation to testing campaign effectiveness and forecasting demand. The author explores many common marketing challenges and demonstrates how to apply different data models to arrive at viable solutions. Business cases and critical analysis are included to illustrate and reinforce key concepts throughout. Beginners will benefit from clear, jargon-free explanations of methodologies relating to statistics, marketing strategy and consumer behaviour. More experienced practitioners will appreciate the more complex aspects of data analytics and data modeling, discovering new applications of various techniques in every day practice. Readers of Marketing Analytics will come away with a firm foundation in markets analytics and the tools they need to gain competitive edge and increase market share. Online supporting resources for this book include a bank of test questions as well as data sets relating to many of the chapters.
Book Synopsis The Agile Guide to Business Analysis and Planning by : Howard Podeswa
Download or read book The Agile Guide to Business Analysis and Planning written by Howard Podeswa and published by Addison-Wesley Professional. This book was released on 2021-04-05 with total page 1163 pages. Available in PDF, EPUB and Kindle. Book excerpt: How Product Owners and Business Analysts can maximize the value delivered to stakeholders by integrating BA competencies with agile methodologies "This book will become a staple reference that both product owners and business analysis practitioners should have by their side." -- From the Foreword by Alain Arseneault, former IIBA Acting President & CEO "[This book] is well organized in bite-sized chunks and structured for ready access to the essential concepts, terms, and practices that can help any agile team be more successful." -- Karl Wiegers The Agile Guide to Business Analysis and Planning provides practical guidance for eliminating unnecessary errors and delays in agile product development through effective planning, backlog refinement and acceptance criteria specification ---with hard-to-find advice on how and when to analyze the context for complex changes within an agile approach---including when to use Journey Maps, Value Stream Mapping, Personas, Story Maps, BPMN, Use Cases and other UML models. Renowned author and consultant Howard Podeswa teaches best practices drawn from agile and agile-adjacent frameworks, including ATDD, BDD, DevOps, CI/CD, Kanban, Scrum, SAFe, XP, Lean Thinking, Lean Startup, Circumstance-Based Market Segmentation, and theories of disruptive innovation. He offers a comprehensive agile roadmap for analyzing customer needs and planning product development, including discussion of legacy business analysis tools that still offer immense value to agile teams. Using a running case study, Podeswa walks through the full agile product lifecycle, from visioning through release and continuous value delivery. You learn how to carry out agile analysis and planning responsibilities more effectively, using tools such as Kano analysis, minimum viable products (MVPs), minimum marketable features (MMFs), story maps, product roadmaps, customer journey mapping, value stream mapping, spikes, and the definition of ready (DoR). Podeswa presents each technique in context: what you need to know and when to apply each tool. Read this book to Master principles, frameworks, concepts, and practices of agile analysis and planning in order to maximize value delivery throughout the product's lifecycle Explore planning and analysis for short-term, long-term, and scaled agile initiatives using MVPs and data-informed learning to test hypotheses and find high-value features Split features into MMFs and small stories that deliver significant value and enable quick wins Refine, estimate, and specify features, stories, and their acceptance criteria, following ATDD/BDD guidance Address the unique analysis and planning challenges of scaled agile organizations Implement 13 practices for optimizing enterprise agility Supported by 175+ tools, techniques, examples, diagrams, templates, checklists, and other job aids, this book is a complete toolkit for every practitioner. Whatever your role, you'll find indispensable guidance on agile planning and analysis responsibilities so you can help your organization respond more nimbly to a fast-changing environment. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Book Synopsis Dyadic Data Analysis by : David A. Kenny
Download or read book Dyadic Data Analysis written by David A. Kenny and published by Guilford Publications. This book was released on 2020-11-26 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interpersonal phenomena such as attachment, conflict, person perception, learning, and influence have traditionally been studied by examining individuals in isolation, which falls short of capturing their truly interpersonal nature. This book offers state-of-the-art solutions to this age-old problem by presenting methodological and data-analytic approaches useful in investigating processes that take place among dyads: couples, coworkers, parent and child, teacher and student, or doctor and patient, to name just a few. Rich examples from psychology and across the behavioral and social sciences help build the researcher's ability to conceptualize relationship processes; model and test for actor effects, partner effects, and relationship effects; and model and control for the statistical interdependence that can exist between partners. The companion website provides clarifications, elaborations, corrections, and data and files for each chapter.
Book Synopsis The Economics of Data, Analytics, and Digital Transformation by : Bill Schmarzo
Download or read book The Economics of Data, Analytics, and Digital Transformation written by Bill Schmarzo and published by Packt Publishing Ltd. This book was released on 2020-11-30 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning Key Features Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset Acquire implementable knowledge on digital transformation through 8 practical laws Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly Book Description In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization's digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: "Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon." What you will learn Train your organization to transition from being data-driven to being value-driven Navigate and master the big data business model maturity index Learn a methodology for determining the economic value of your data and analytics Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used Become aware of digital transformation misconceptions and pitfalls Create empowered and dynamic teams that fuel your organization's digital transformation Who this book is for This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.
Download or read book Web Analytics written by Avinash Kaushik and published by John Wiley & Sons. This book was released on 2007-07-30 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by an in-the-trenches practitioner, this step-by-step guide shows you how to implement a successful Web analytics strategy. Web analytics expert Avinash Kaushik, in his thought-provoking style, debunks leading myths and leads you on a path to gaining actionable insights from your analytics efforts. Discover how to move beyond clickstream analysis, why qualitative data should be your focus, and more insights and techniques that will help you develop a customer-centric mindset without sacrificing your company’s bottom line. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
