Download or read book Improving the User Experience through Practical Data Analytics written by Mike Fritz and published by Morgan Kaufmann. This book was released on 2015-03-03 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improving the User Experience through Practical Data Analytics shows you how to make UX design decisions based on data—not hunches. Authors Fritz and Berger help the UX professional recognize the enormous potential of user data that is collected as a natural by-product of routine UX research methods, including moderated usability tests, unmoderated usability tests, surveys, and contextual inquiries. Then, step-by-step, they explain how to utilize both descriptive and predictive statistical techniques to gain meaningful insight with that data. By mastering the use of these techniques, you’ll delight your users, increase your bottom line and gain a powerful competitive advantage for your company—and yourself. Key features include: Practical advise on choosing the right data analysis technique for each project. A step-by-step methodology for applying each technique, including examples and scenarios drawn from the UX field. Detailed screen shots and instructions for performing the techniques using Excel (both for PC and Mac) and SPSS. Clear and concise guidance on interpreting the data output. Exercises to practice the techniques Practical guidance on choosing the right data analysis technique for each project. Real-world examples to build a theoretical and practical understanding of key concepts from consumer and financial verticals. A step-by-step methodology for applying each predictive technique, including detailed examples. A detailed guide to interpreting the data output and examples of how to effectively present the findings in a report. Exercises to learn the techniques

Download or read book Improving the User Experience Through Practical Data Analytics written by Mike Fritz and published by . This book was released on 2015 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improving the User Experience through Practical Data Analytics shows you how to make UX design decisions based on data--not hunches. Authors Fritz and Berger help the UX professional recognize the enormous potential of user data that is collected as a natural by-product of routine UX research methods, including moderated usability tests, unmoderated usability tests, surveys, and contextual inquiries. Then, step-by-step, they explain how to utilize both descriptive and predictive statistical techniques to gain meaningful insight with that data. By mastering the use of these techniques, you'll delight your users, increase your bottom line and gain a powerful competitive advantage for your company--and yourself. Key features include: Practical advise on choosing the right data analysis technique for each project. A step-by-step methodology for applying each technique, including examples and scenarios drawn from the UX field. Detailed screen shots and instructions for performing the techniques using Excel (both for PC and Mac) and SPSS. Clear and concise guidance on interpreting the data output. Exercises to practice the techniques Practical guidance on choosing the right data analysis technique for each project. Real-world examples to build a theoretical and practical understanding of key concepts from consumer and financial verticals. A step-by-step methodology for applying each predictive technique, including detailed examples. A detailed guide to interpreting the data output and examples of how to effectively present the findings in a report. Exercises to learn the techniques.

Download or read book Practical Web Analytics for User Experience written by Michael Beasley and published by Newnes. This book was released on 2013-06-21 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Researching UX written by Luke Hay and published by Sitepoint. This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Good UX is based on evidence. Qualitative evidence, such as user testing and field research, can only get you so far. To get the full picture of how users are engaging with your website or app, you'll need to use quantitative evidence in the form of analytics. This book will show you, step by step, how you can use website and app analytics data to inform design choices and definitively improve user experience. Offering practical guidelines, with plenty of detailed examples, this book covers: why you need to gather analytics data for your UX projects getting set up with analytics tools analyzing data how to find problems in your analytics using analytics to aid user research, measure and report on outcomes By the end of this book, you'll have a strong understanding of the important role analytics plays in the UX process. It will inspire you to take an "analytics first" approach to your UX projects.

Download or read book Unleashing the Power of UX Analytics written by Jeff Hendrickson and published by Packt Publishing Ltd. This book was released on 2023-08-18 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimize UX analytics for your design workflow and discover effective techniques and strategies to craft unforgettable, impactful user experiences Purchase of the print or Kindle book includes a free PDF eBook Key Features Enhance your understanding of qualitative and quantitative analysis for successful UX projects Apply design thinking and use surveys, interviews, and UX analytics tools for better product design Overcome bottlenecks and challenges at each stage of the user experience Book DescriptionUX analytics is a field that recognizes the significance of understanding human behavior and emotions in designing user experiences. It goes beyond mere metrics and embraces a people-centric approach. With the help of this comprehensive guide, you’ll acquire essential skills, knowledge, and techniques to establish a top-notch UX analytics practice. Unleashing the Power of UX Analytics will equip you with the strategies and tactics necessary to effectively collect, analyze, and interpret data, empowering you to make informed decisions that enhance the overall user experience. It emphasizes the importance of empathy in comprehending user needs and desires, enabling you to create meaningful and impactful design solutions. As you advance, this book walks you through the entire UX analytics process, from setting goals and defining key performance indicators (KPIs) to implementing various research methods and tools. You'll gain insights into user interview best practices, usability testing, and techniques for gathering qualitative and quantitative data. Armed with the knowledge of data analysis and interpretation, you'll be able to uncover patterns, trends, and user preferences to make data-driven decisions.What you will learn Understand the significance of analytics in successful UX projects Apply design thinking as a problem-solving tool in a UX practice Explore taxonomies, dashboards, KPIs, and data visualizations to understand data enterprise in depth Discover key considerations to determine which UX analytics tools are best for your projects Craft a North Star statement and understand how it guides your work Design and deliver the best research findings collateral Get to grips with heuristics and performing the effective evaluations Who this book is forThis book is for product managers, UX researchers, designers, and anyone involved in UX and business development, both in management roles and as individual contributors. If you are looking to master the methodologies, principles, and best practices for driving product design decisions through UX analytics, this book is absolutely the right pick for you. While a basic understanding of user experience principles is beneficial, it is not a prerequisite, as everything you need to know will be explained.

Download or read book Designing with Data written by Rochelle King and published by "O'Reilly Media, Inc.". This book was released on 2017-03-29 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data. This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow. Understand the relationship between data, business, and design Get a firm grounding in data, data types, and components of A/B testing Use an experimentation framework to define opportunities, formulate hypotheses, and test different options Create hypotheses that connect to key metrics and business goals Design proposed solutions for hypotheses that are most promising Interpret the results of an A/B test and determine your next move

Download or read book Designing with Data written by Rochelle King and published by "O'Reilly Media, Inc.". This book was released on 2017-03-29 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data. This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow. Understand the relationship between data, business, and design Get a firm grounding in data, data types, and components of A/B testing Use an experimentation framework to define opportunities, formulate hypotheses, and test different options Create hypotheses that connect to key metrics and business goals Design proposed solutions for hypotheses that are most promising Interpret the results of an A/B test and determine your next move

Download or read book Researching UX Analytics written by Luke Hay and published by SitePoint Pty Ltd. This book was released on 2017-01-10 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Good UX is based on evidence. Qualitative evidence, such as user testing and field research, can only get you so far. To get the full picture of how users are engaging with your website or app, you'll need to use quantitative evidence in the form of analytics. This book will show you, step by step, how you can use website and app analytics data to inform design choices and definitively improve user experience. Offering practical guidelines, with plenty of detailed examples, this book covers: why you need to gather analytics data for your UX projects getting set up with analytics tools analyzing data how to find problems in your analytics using analytics to aid user research, measure and report on outcomes By the end of this book, you'll have a strong understanding of the important role analytics plays in the UX process. It will inspire you to take an "analytics first" approach to your UX projects.

Download or read book Search Analytics for Your Site written by Louis Rosenfeld and published by Rosenfeld Media. This book was released on 2011-07-06 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Any organization that has a searchable web site or intranet is sitting on top of hugely valuable and usually under-exploited data: logs that capture what users are searching for, how often each query was searched, and how many results each query retrieved. Search queries are gold: they are real data that show us exactly what users are searching for in their own words. This book shows you how to use search analytics to carry on a conversation with your customers: listen to and understand their needs, and improve your content, navigation and search performance to meet those needs.

Download or read book Benchmarking the User Experience written by Jeff Sauro and published by Measuringu Press. This book was released on 2018-06-25 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This is a practical book about how to measure the user experience of websites, software, mobile apps, products, or just anything people use. This book is for UX researchers, designers, product owners, or anyone that has a vested interest in improving experience of websites and products"--Introduction.

Download or read book Quantifying the User Experience written by Jeff Sauro and published by Morgan Kaufmann. This book was released on 2016-07-12 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantifying the User Experience: Practical Statistics for User Research, Second Edition, provides practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data. The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. It addresses questions users face every day, including, Is the current product more usable than our competition? Can we be sure at least 70% of users can complete the task on their first attempt? How long will it take users to purchase products on the website? This book provides a foundation for statistical theories and the best practices needed to apply them. The authors draw on decades of statistical literature from human factors, industrial engineering, and psychology, as well as their own published research, providing both concrete solutions (Excel formulas and links to their own web-calculators), along with an engaging discussion on the statistical reasons why tests work and how to effectively communicate results. Throughout this new edition, users will find updates on standardized usability questionnaires, a new chapter on general linear modeling (correlation, regression, and analysis of variance), with updated examples and case studies throughout. Completely updated to provide practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices Includes new and revised information on standardized usability questionnaires Includes a completely new chapter introducing correlation, regression, and analysis of variance Shows practitioners which test to use, why they work, and best practices for application, along with easy-to-use Excel formulas and web-calculators for analyzing data Recommends ways for researchers and practitioners to communicate results to stakeholders in plain English

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.

Download or read book Journal of Contemporary Urban Affairs Vol 1 No 2 2017 written by Senem Zeybekoglu Sadri and published by Journal of Contemporary Urban Affairs. This book was released on 2017-12-01 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Oeuvre vs. Abstract Space: Appropriation of Gezi Park in Istanbul Senem Zeybekoglu Sadri, Dr. 1-10 DOI https://doi.org/10.25034/ijcua.2017.3643 Identity in Changing Context: Factors of losing Identity in new developed part of the city of Famagusta, North Cyprus Hourakhsh Ahmad Nia, Dr., Yousif Hussien Suleiman, MA. 11-20 DOI https://doi.org/10.25034/ijcua.2017.3644 The inspiration of Bauhaus principles on the modern housing in Cyprus Mustafa Aziz Amen, Ph.D. Candidate 21-32 DOI https://doi.org/10.25034/ijcua.2017.3645 An agenda for the Management of contemporary Sustainable houses Ifeanyi Obi, Dr. 33-37 DOI https://doi.org/10.25034/ijcua.2017.3646 Courtyard Housing in China: Chinese Quest for Harmony Donia Zhang, Dr. 38-56 DOI https://doi.org/10.25034/ijcua.2017.3647 Density, Energy and Metabolism of a proposed smart city Anindita Mandal, Dr., Hugh Byrd, Dr. 57-68 DOI https://doi.org/10.25034/ijcua.2017.3648 Establishment of space syntax to read urban road network; the case of Sari, Iran Ehsan Valipour, Ph.D. Candidate, Samira Tayyebisoudkolaei, MA., Abdolah Mobaraki, Ph.D. Candidate 69-75 DOI https://doi.org/10.25034/ijcua.2017.3649 Profession vs Ethics Hossein Sadri, Dr. 76-82 DOI https://doi.org/10.25034/ijcua.2017.3650

Download or read book Experimental Design written by Paul D. Berger and published by Springer. This book was released on 2017-11-28 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout.

Download or read book Practical Data Analytics for BFSI written by Bharat Sikka and published by Orange Education Pvt Ltd. This book was released on 2023-09-02 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revolutionizing BFSI with Data Analytics KEY FEATURES ● Real-world examples and exercises will ground you in the practical application of analytics techniques specific to BFSI. ● Master Python for essential coding, SQL for data manipulation, and industry-leading tools like IBM SPSS and Power BI for sophisticated analyses. ● Understand how data-driven strategies generate profits, mitigate risks, and redefine customer support dynamics within the BFSI sphere. DESCRIPTION Are you looking to unlock the transformative potential of data analytics in the dynamic world of Banking, Financial Services, and Insurance (BFSI)? This book is your essential guide to mastering the intricate interplay of data science and analytics that underpins the BFSI landscape. Designed for intermediate-level practitioners, as well as those aspiring to join the ranks of BFSI analytics professionals, this book is your compass in the data-driven realm of banking. Address the unique challenges and opportunities of the BFSI sector using Artificial Intelligence and Machine Learning models for a data driven analysis. This book is a step by step guide to utilize tools like IBM SPSS and Microsoft Power BI. Hands-on examples that utilize Python and SQL programming languages make this an essential guide. The book features numerous case studies that illuminate various use cases of Analytics in BFSI. Each chapter is enriched with practical insights and concludes with a valuable multiple-choice questionnaire, reinforcing understanding and engagement. This book will uncover how these solutions not only pave the way for increased profitability but also navigate risks with precision and elevate customer support to unparalleled heights. WHAT WILL YOU LEARN ● Delve into the world of Data Science, including Artificial Intelligence and Machine Learning, with a focus on their application within BFSI. ● Explore hands-on examples and step-by-step tutorials that provide practical solutions to real-world challenges faced by banking institutions. ● Develop skills in essential programming languages such as Python (fundamentals) and SQL (intermediate), crucial for effective data manipulation and analysis. ● Gain insights into how businesses adapt data-driven strategies to make informed decisions, leading to improved operational efficiency. ● Stay updated on emerging trends, technologies, and innovations shaping the future of data analytics in the BFSI industry. WHO IS THIS BOOK FOR? This book is tailored for professionals already engaged in or seeking roles within Data Analytics in the BFSI industry. Additionally, it serves as a strategic resource for business leaders and upper management, guiding them in shaping data platforms and products within their organizations. The book also serves as a starting point for individuals interested in the BFSI sector. Prior experience with coding tools such as Python, SQL, Power BI is beneficial but not required as it covers all dimensions from the basics. TABLE OF CONTENTS 1. Introduction to BFSI and Data Driven Banking 2. Introduction to Analytics and Data Science 3. Major Areas of Analytics Utilization 4. Understanding Infrastructures behind BFSI for Analytics 5. Data Governance and AI/ML Model Governance in BFSI 6. Domains of BFSI and team planning 7. Customer Demographic Analysis and Customer Segmentation 8. Text Mining and Social Media Analytics 9. Lead Generation Through Analytical Reasoning and Machine Learning 10. Cross Sell and Up Sell of Products through Machine Learning 11. Pricing Optimization 12. Data Envelopment Analysis 13. ATM Cash Forecasting 14. Unstructured Data Analytics 15. Fraud Modelling 16. Detection of Money Laundering and Analysis 17. Credit Risk and Stressed Assets 18. High Performance Architectures: On-Premises and Cloud 19. Growing Trends in the Data-Driven Future of BFSI

Download or read book The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy written by John Macintyre and published by Springer Nature. This book was released on 2021-11-02 with total page 999 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

Download or read book User Research written by Stephanie Marsh and published by Kogan Page Publishers. This book was released on 2022-02-03 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite businesses often being based on creating desirable experiences, products and services for consumers, many fail to consider the end user in their planning and development processes. This book is here to change that. User experience research, also known as UX research, focuses on understanding user behaviours, needs and motivations through a range of observational techniques, task analysis and other methodologies. User Research is a practical guide that shows readers how to use the vast array of user research methods available. Written by one of the UK's leading UX research professionals, readers can benefit from in-depth knowledge that explores the fundamentals of user research. Covering all the key research methods including face-to-face user testing, card sorting, surveys, A/B testing and many more, the book gives expert insight into the nuances, advantages and disadvantages of each, while also providing guidance on how to interpret, analyze and share the data once it has been obtained. Now in its second edition, User Research provides a new chapter on research operations and infrastructure as well as new material on combining user research methodologies.