| Practical Web Analytics for User Experience Posted: 06 Sep 2013 06:16 AM PDT 
Book Description Practical Web Analytics for User Experience teaches you how to use web analytics to help answer the complicated questions facing UX professionals. Within this book, you’ll find a quantitative approach for measuring a website’s effectiveness and the methods for posing and answering specific questions about how users navigate a website. The book is organized according to the concerns UX practitioners face. Chapters are devoted to traffic, clickpath, and content use analysis, measuring the effectiveness of design changes, including A/B testing, building user profiles based on search habits, supporting usability test findings with reporting, and more. This is the must-have resource you need to start capitalizing on web analytics and analyze websites effectively. - Discover concrete information on how web analytics data support user research and user-centered design
- Learn how to frame questions in a way that lets you navigate through massive amounts of data to get the answer you need
- Learn how to gather information for personas, verify behavior found in usability testing, support heuristic evaluation with data, analyze keyword data, and understand how to communicate these findings with business stakeholders
Table of Contents
Chapter 1. Introduction
Chapter 2. Analysis Process
Chapter 3. How it Works
Chapter 4. Goals
Chapter 5. Visitor Analysis
Chapter 6. Traffic Analysis
Chapter 7. How People Use Content
Chapter 8. Clickpath Analysis
Chapter 9. Segmentation
Chapter 10. Putting it Together
Chapter 11. Testing
Chapter 12. Measuring Behavior within Pages
Chapter 13. AB Testing
Chapter 14. Profiles
Chapter 15. Culture
Chapter 16. Conclusion Book Details - Paperback: 256 pages
- Publisher: Morgan Kaufmann (August 2013)
- Language: English
- ISBN-10: 0124046193
- ISBN-13: 978-0124046191
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| Measuring the User Experience, 2nd Edition Posted: 06 Sep 2013 06:12 AM PDT 
Book Description Measuring the User Experience was the first book that focused on how to quantify the user experience. Now in the second edition, the authors include new material on how recent technologies have made it easier and more effective to collect a broader range of data about the user experience. As more UX and web professionals need to justify their design decisions with solid, reliable data, Measuring the User Experience provides the quantitative analysis training that these professionals need. The second edition presents new metrics such as emotional engagement, personas, keystroke analysis, and net promoter score. It also examines how new technologies coming from neuro-marketing and online market research can refine user experience measurement, helping usability and user experience practitioners make business cases to stakeholders. The book also contains new research and updated examples, including tips on writing online survey questions, six new case studies, and examples using the most recent version of Excel. - Learn which metrics to select for every case, including behavioral, physiological, emotional, aesthetic, gestural, verbal, and physical, as well as more specialized metrics such as eye-tracking and clickstream data.
- Find a vendor-neutral examination of how to measure the user experience with web sites, digital products, and virtually any other type of product or system.
- Discover in-depth global case studies showing how organizations have successfully used metrics and the information they revealed.
- Companion site, www.measuringux.com, includes articles, tools, spreadsheets, presentations, and other resources to help you effectively measure the user experience
Table of Contents
Chapter 1. Introduction
Chapter 2. Background
Chapter 3. Planning
Chapter 4. Performance Metrics
Chapter 5. Issue-Based Metrics
Chapter 6. Self-Reported Metrics
Chapter 7. Behavioral and Physiological Metrics
Chapter 8. Combined and Comparative Metrics
Chapter 9. Special Topics
Chapter 10. Case Studies
Chapter 11. Ten Keys to Success Book Details - Series: Interactive Technologies
- Paperback: 320 pages
- Publisher: Morgan Kaufmann; 2nd Edition (July 2013)
- Language: English
- ISBN-10: 0124157815
- ISBN-13: 978-0124157811
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| Principles of Big Data Posted: 06 Sep 2013 06:07 AM PDT 
Book Description Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. - Learn general methods for specifying Big Data in a way that is understandable to humans and to computers.
- Avoid the pitfalls in Big Data design and analysis.
- Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources.
Table of Contents
Chapter 1. Big Data Moves to the Center of the Universe
Chapter 2. Measurement
Chapter 3. Annotation
Chapter 4. Identification, De-identification, and Re-identification
Chapter 5. Ontologies and Semantics: How information is endowed with meaning
Chapter 6. Standards and their Versions
Chapter 7. Legacy Data
Chapter 8. Hypothesis Testing
Chapter 9. Prediction
Chapter 10. Software
Chapter 11. Complexity
Chapter 12. Vulnerabilities
Chapter 13. Legalities
Chapter 14. Social and Ethical Issues Book Details - Paperback: 288 pages
- Publisher: Morgan Kaufmann (May 2013)
- Language: English
- ISBN-10: 0124045766
- ISBN-13: 978-0124045767
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| Implementing Analytics Posted: 06 Sep 2013 06:03 AM PDT 
Book Description Implementing Analytics demystifies the concept, technology and application of analytics and breaks its implementation down to repeatable and manageable steps, making it possible for widespread adoption across all functions of an organization. Implementing Analytics simplifies and helps democratize a very specialized discipline to foster business efficiency and innovation without investing in multi-million dollar technology and manpower. A technology agnostic methodology that breaks down complex tasks like model design and tuning and emphasizes business decisions rather than the technology behind analytics. - Simplifies the understanding of analytics from a technical and functional perspective and shows a wide array of problems that can be tackled using existing technology
- Provides a detailed step by step approach to identify opportunities, extract requirements, design variables and build and test models. It further explains the business decision strategies to use analytics models and provides an overview for governance and tuning
- Helps formalize analytics projects from staffing, technology and implementation perspectives
- Emphasizes machine learning and data mining over statistics and shows how the role of a Data Scientist can be broken down and still deliver the value by building a robust development process
Table of Contents
Chapter 1. Introduction
Chapter 2. What is Analytics?
Chapter 3. Analytics Project Lifecycle
Chapter 4. Analytics Project Business Case
Chapter 5. Analytics Project Architecture
Chapter 6. Analytics Project Team
Chapter 7. Analytics Project Development Methodology
Chapter 8. Existing Technology
Chapter 9. Specialized Databases
Chapter 10. Statistical Tools
Chapter 11. Scoring and Rating Engine
Chapter 12. Strategy Design Tool Book Details - Paperback: 234 pages
- Publisher: Morgan Kaufmann (May 2013)
- Language: English
- ISBN-10: 0124016960
- ISBN-13: 978-0124016965
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| Data Warehousing in the Age of Big Data Posted: 06 Sep 2013 05:59 AM PDT 
Book Description Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn’t have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data-ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory. Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse. - Learn how to leverage Big Data by effectively integrating it into your data warehouse.
- Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies
- Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements
Table of Contents
Part 1: Big Data
Chapter 1. Introduction to Big Data
Chapter 2. Complexity of Big Data
Chapter 3. Big Data Processing Architectures
Chapter 4. Big Data Technologies
Chapter 5. Big Data Business Value Part 2: The Data Warehouse
Chapter 6. Data Warehouse
Chapter 7. Re-Engineering the Data Warehouse
Chapter 8 –Workload Management in the Data Warehouse
Chapter 9. New Technology Approaches Part 3: Extending Big Data into the Data Warehouse
Chapter 10. Integration of Big Data and Data Warehouse
Chapter 11. Data Driven Architecture
Chapter 12. Information Management and Lifecycle
Chapter 13. Big Data Analytics, Visualization and Data Scientist
Chapter 14. Implementing The “Big Data” Data Warehouse Appendix A. Customer Case Studies From Vendors
Appendix B. Building The HealthCare Information Factory Book Details - Paperback: 370 pages
- Publisher: Morgan Kaufmann (May 2013)
- Language: English
- ISBN-10: 0124058914
- ISBN-13: 978-0124058910
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| Digital Outcasts Posted: 06 Sep 2013 05:56 AM PDT 
Book Description The blind person who tries to make an online purchase. The young girl who cannot speak due to a cognitive disability. The man confined to his home due to permanent injury. The single mother with a long-term illness who struggles to feed her family. With one in seven people worldwide currently living with a disability, the term “outcast” covers numerous scenarios. Digital outcasts rely on technology for everyday services that many people take for granted. However, poorly designed products risk alienating this important (and growing) population. Through a “grass roots” approach to innovation, digital outcasts are gradually taking action to transform their lives and communities. This emerging trend provides exciting learning opportunities for all of us. Citing real-world case studies from healthcare to social science, this book examines the emerging legal and cultural impact of inclusive design. - Gain a better understanding of how people with disabilities use technology
- Discover pitfalls and approaches to help you stay current in your UX practices
- Anticipate a future in which ambient benefit can be achieved for people of all abilities and backgrounds
Table of Contents
Chapter 1. Who Are Digital Outcasts?
Chapter 2. Interpreting Ability
Chapter 3. Why Accessibility Alone Isn't Enough
Chapter 4. Accessibility and the Real World
Chapter 5. Defining Inclusive Innovation
Chapter 6. Playing for Health
Chapter 7. Virtual Reality, Universal Life
Chapter 8. Inclusive Design is the New Green
Chapter 9. Designing for Tomorrow's Digital Outcasts
Chapter 10. The Future is Already Here Book Details - Paperback: 288 pages
- Publisher: Morgan Kaufmann (April 2013)
- Language: English
- ISBN-10: 012404705X
- ISBN-13: 978-0124047051
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