Improving The User Experience Through Practical Data Analytics

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• Author : Mike Fritz,Paul D. Berger
• Publisher : Morgan Kaufmann
• Release Date : 2015-03-03
• Total pages : 0
• ISBN : 0128006358
• File Size : 30,5 Mb
• Total Download : 945
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Download Improving the User Experience through Practical Data Analytics in PDF, Epub, and Kindle

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

• Author : Mike Fritz,Paul D. Berger
• Publisher : Morgan Kaufmann
• Release Date : 2015-03-03
• Total pages : 396
• ISBN : 9780128006788
• File Size : 18,7 Mb
• Total Download : 345
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Download Improving the User Experience through Practical Data Analytics in PDF, Epub, and Kindle

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

• Author : Mike Fritz,Paul Berger
• Publisher : Unknown
• Release Date : 2015
• Total pages : 396
• ISBN : OCLC:1105767247
• File Size : 49,9 Mb
• Total Download : 277
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Download Improving the User Experience Through Practical Data Analytics in PDF, Epub, and Kindle

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.

• Author : Michael Beasley
• Publisher : Newnes
• Release Date : 2013-06-21
• Total pages : 256
• ISBN : 9780124046948
• File Size : 22,9 Mb
• Total Download : 806
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Download Practical Web Analytics for User Experience in PDF, Epub, and Kindle

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

• Author : Rochelle King,Elizabeth F Churchill,Caitlin Tan
• Publisher : "O'Reilly Media, Inc."
• Release Date : 2017-03-29
• Total pages : 370
• ISBN : 9781449334956
• File Size : 15,7 Mb
• Total Download : 576
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Download Designing with Data in PDF, Epub, and Kindle

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

• Author : Jeff Sauro,James R Lewis
• Publisher : Elsevier
• Release Date : 2012-03-16
• Total pages : 313
• ISBN : 9780123849694
• File Size : 17,8 Mb
• Total Download : 166
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Download Quantifying the User Experience in PDF, Epub, and Kindle

Quantifying the User Experience: Practical Statistics for User Research offers a practical guide for using statistics to solve quantitative problems in user research. Many designers and researchers view usability and design as qualitative activities, which do not require attention to formulas and numbers. However, usability practitioners and user researchers are increasingly expected to quantify the benefits of their efforts. The impact of good and bad designs can be quantified in terms of conversions, completion rates, completion times, perceived satisfaction, recommendations, and sales. The book discusses ways to quantify user research; summarize data and compute margins of error; determine appropriate samples sizes; standardize usability questionnaires; and settle controversies in measurement and statistics. Each chapter concludes with a list of key points and references. Most chapters also include a set of problems and answers that enable readers to test their understanding of the material. This book is a valuable resource for those engaged in measuring the behavior and attitudes of people during their interaction with interfaces. Provides practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices Show practitioners which test to use, why they work, best practices in application, along with easy-to-use excel formulas and web-calculators for analyzing data Recommends ways for practitioners to communicate results to stakeholders in plain English Resources and tools available at the authors’ site: http://www.measuringu.com/

• Author : Senem Zeybekoglu Sadri,Hourakhsh Ahmad Nia,Yousif Hussien Suleiman,Mustafa Aziz Amen,Ifeanyi Obi,Donia Zhang,Anindita Mandal,Hugh Byrd,Ehsan Valipour,Samira Tayyebisoudkolaei,bdolah Mobaraki,Hossein Sadri
• Publisher : Journal of Contemporary Urban Affairs
• Release Date : 2017-12-01
• Total pages : 82
• ISBN : 1230987654XX
• File Size : 34,7 Mb
• Total Download : 856
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Download Journal of Contemporary Urban Affairs, Vol.1 No.2, 2017 in PDF, Epub, and Kindle

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

• Author : Paul D. Berger,Robert E. Maurer,Giovana B. Celli
• Publisher : Springer
• Release Date : 2017-11-28
• Total pages : 639
• ISBN : 9783319645834
• File Size : 40,8 Mb
• Total Download : 380
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Download Experimental Design in PDF, Epub, and Kindle

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.

• Author : John Macintyre,Jinghua Zhao,Xiaomeng Ma
• Publisher : Springer Nature
• Release Date : 2021-11-02
• Total pages : 999
• ISBN : 9783030895112
• File Size : 30,8 Mb
• Total Download : 854
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Download The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy in PDF, Epub, and Kindle

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.

• Author : Kolla Bhanu Prakash
• Publisher : John Wiley & Sons
• Release Date : 2022-09-14
• Total pages : 485
• ISBN : 9781119857334
• File Size : 28,5 Mb
• Total Download : 717
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Download Data Science Handbook in PDF, Epub, and Kindle

DATA SCIENCE HANDBOOK This desk reference handbook gives a hands-on experience on various algorithms and popular techniques used in real-time in data science to all researchers working in various domains. Data Science is one of the leading research-driven areas in the modern era. It is having a critical role in healthcare, engineering, education, mechatronics, and medical robotics. Building models and working with data is not value-neutral. We choose the problems with which we work, make assumptions in these models, and decide on metrics and algorithms for the problems. The data scientist identifies the problem which can be solved with data and expert tools of modeling and coding. The book starts with introductory concepts in data science like data munging, data preparation, and transforming data. Chapter 2 discusses data visualization, drawing various plots and histograms. Chapter 3 covers mathematics and statistics for data science. Chapter 4 mainly focuses on machine learning algorithms in data science. Chapter 5 comprises of outlier analysis and DBSCAN algorithm. Chapter 6 focuses on clustering. Chapter 7 discusses network analysis. Chapter 8 mainly focuses on regression and naive-bayes classifier. Chapter 9 covers web-based data visualizations with Plotly. Chapter 10 discusses web scraping. The book concludes with a section discussing 19 projects on various subjects in data science. Audience The handbook will be used by graduate students up to research scholars in computer science and electrical engineering as well as industry professionals in a range of industries such as healthcare.

• Author : Ayanso, Anteneh
• Publisher : IGI Global
• Release Date : 2014-02-28
• Total pages : 305
• ISBN : 9781466651951
• File Size : 44,7 Mb
• Total Download : 694
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Download Harnessing the Power of Social Media and Web Analytics in PDF, Epub, and Kindle

Social media has opened several new marketing channels to assist in business visibility as well as provide real-time customer feedback. With the emergence of new internet technologies, businesses are increasingly recognizing the value of social media and web presence in the promotion of their products and services. Harnessing the Power of Social Media and Web Analytics documents high-quality research to empower businesses to derive intelligence from social media sites. These emerging technological tools have allowed businesses to quantify, understand, and respond to customers’ conversations about their corporate reputation and brands within online communities. This publication is ideal for academic and professional audiences interested in applications and practices of social media and web analytics in various industries.

• Author : Rayan Wali
• Publisher : Rayan Wali
• Release Date : 2021-06-12
• Total pages : 605
• ISBN : 1230987654XX
• File Size : 33,5 Mb
• Total Download : 253
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Download A Practical Guide to Artificial Intelligence and Data Analytics in PDF, Epub, and Kindle

Whether you are looking to prepare for AI/ML/Data Science job interviews or you are a beginner in the field of Data Science and AI, this book is designed for engineers and AI enthusiasts like you at all skill levels. Taking a different approach from a traditional textbook style of instruction, A Practical Guide to AI and Data Analytics touches on all of the fundamental topics you will need to understand deeper into machine learning and artificial intelligence research, literature, and practical applications with its four parts: Part I: Concept Instruction Part II: 8 Full-Length Case Studies Part III: 50+ Mixed Exercises Part IV: A Full-Length Assessment With an illustrative approach to instruction, worked examples, and case studies, this easy-to-understand book simplifies many of the AI and Data Analytics key concepts, leading to an improvement of AI/ML system design skills.

• Author : Martin Newman,Malcolm McDonald
• Publisher : Kogan Page Publishers
• Release Date : 2018-08-03
• Total pages : 304
• ISBN : 9780749482688
• File Size : 18,5 Mb
• Total Download : 503
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Download 100 Practical Ways to Improve Customer Experience in PDF, Epub, and Kindle

Virtually all consumer-facing businesses talk about putting the customer first, but in reality, few deliver on this as effectively as they could. 100 Practical Ways to Improve Customer Experience walks readers through a wealth of practical tips, tools, guidelines and frameworks, for implementing customer-focused marketing strategies at every step of the customer journey. By ensuring that the customer remains the key focus, companies can identify areas in need of improvement and implement relevant steps throughout the value chain to transform their business. A unique blend of strategy and best practice, 100 Practical Ways to Improve Customer Experience has a particular focus on multi-channel industries such as retail, FMCG, travel, financial services, leisure, food and beverage, and automotive. These industries are all facing major disruption from trendsetting brands such as Uber, AirBnB and Amazon, and as such, now face more pressure than ever to adopt new practices and remain relevant in a continually competitive marketplace. Featuring case studies packed full of practical examples, this book is a unique and valuable resource for both senior industry professionals looking to transform their business and MBA students. Online resources include a best practice checklist to optimize mobile apps.

• Author : Ofer Mendelevitch,Casey Stella,Douglas Eadline
• Publisher : Addison-Wesley Professional
• Release Date : 2016-12-08
• Total pages : 256
• ISBN : 9780134029726
• File Size : 21,8 Mb
• Total Download : 680
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Download Practical Data Science with Hadoop and Spark in PDF, Epub, and Kindle

The Complete Guide to Data Science with Hadoop—For Technical Professionals, Businesspeople, and Students Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop® and Spark is your complete guide to doing just that. Drawing on immense experience with Hadoop and big data, three leading experts bring together everything you need: high-level concepts, deep-dive techniques, real-world use cases, practical applications, and hands-on tutorials. The authors introduce the essentials of data science and the modern Hadoop ecosystem, explaining how Hadoop and Spark have evolved into an effective platform for solving data science problems at scale. In addition to comprehensive application coverage, the authors also provide useful guidance on the important steps of data ingestion, data munging, and visualization. Once the groundwork is in place, the authors focus on specific applications, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language processing (NLP). This guide provides a strong technical foundation for those who want to do practical data science, and also presents business-driven guidance on how to apply Hadoop and Spark to optimize ROI of data science initiatives. Learn What data science is, how it has evolved, and how to plan a data science career How data volume, variety, and velocity shape data science use cases Hadoop and its ecosystem, including HDFS, MapReduce, YARN, and Spark Data importation with Hive and Spark Data quality, preprocessing, preparation, and modeling Visualization: surfacing insights from huge data sets Machine learning: classification, regression, clustering, and anomaly detection Algorithms and Hadoop tools for predictive modeling Cluster analysis and similarity functions Large-scale anomaly detection NLP: applying data science to human language

• Author : David Travis,Philip Hodgson
• Publisher : CRC Press
• Release Date : 2019-01-10
• Total pages : 294
• ISBN : 9780429774010
• File Size : 33,9 Mb
• Total Download : 637
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Download Think Like a UX Researcher in PDF, Epub, and Kindle

Think Like a UX Researcher will challenge your preconceptions about user experience (UX) research and encourage you to think beyond the obvious. You’ll discover how to plan and conduct UX research, analyze data, persuade teams to take action on the results and build a career in UX. The book will help you take a more strategic view of product design so you can focus on optimizing the user’s experience. UX Researchers, Designers, Project Managers, Scrum Masters, Business Analysts and Marketing Managers will find tools, inspiration and ideas to rejuvenate their thinking, inspire their team and improve their craft. Key Features A dive-in-anywhere book that offers practical advice and topical examples. Thought triggers, exercises and scenarios to test your knowledge of UX research. Workshop ideas to build a development team’s UX maturity. War stories from seasoned researchers to show you how UX research methods can be tailored to your own organization.

• Author : Tareq Z. Ahram,Waldemar Karwowski,Jay Kalra
• Publisher : Springer Nature
• Release Date : 2021-07-07
• Total pages : 535
• ISBN : 9783030806248
• File Size : 39,7 Mb
• Total Download : 467
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Download Advances in Artificial Intelligence, Software and Systems Engineering in PDF, Epub, and Kindle

This book addresses emerging issues concerning the integration of artificial intelligence systems in our daily lives. It focuses on the cognitive, visual, social and analytical aspects of computing and intelligent technologies, and highlights ways to improve the acceptance, effectiveness, and efficiency of said technologies. Topics such as responsibility, integration and training are discussed throughout. The book also reports on the latest advances in systems engineering, with a focus on societal challenges and next-generation systems and applications for meeting them. Further, it covers some cutting-edge issues in energy, including intelligent control systems for power plant, and technology acceptance models. Based on the AHFE 2021 Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, held virtually on 25–29 July, 2021, from USA, this book provides readers with extensive information on current research and future challenges in these fields, together with practical insights into the development of innovative services for various purposes.

• Author : Rex Hartson,Pardha S. Pyla
• Publisher : Elsevier
• Release Date : 2012-01-25
• Total pages : 968
• ISBN : 9780123852427
• File Size : 40,9 Mb
• Total Download : 892
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Download The UX Book in PDF, Epub, and Kindle

The UX Book: Process and Guidelines for Ensuring a Quality User Experience aims to help readers learn how to create and refine interaction designs that ensure a quality user experience (UX). The book seeks to expand the concept of traditional usability to a broader notion of user experience; to provide a hands-on, practical guide to best practices and established principles in a UX lifecycle; and to describe a pragmatic process for managing the overall development effort. The book provides an iterative and evaluation-centered UX lifecycle template, called the Wheel, for interaction design. Key concepts discussed include contextual inquiry and analysis; extracting interaction design requirements; constructing design-informing models; design production; UX goals, metrics, and targets; prototyping; UX evaluation; the interaction cycle and the user action framework; and UX design guidelines. This book will be useful to anyone interested in learning more about creating interaction designs to ensure a quality user experience. These include interaction designers, graphic designers, usability analysts, software engineers, programmers, systems analysts, software quality-assurance specialists, human factors engineers, cognitive psychologists, cosmic psychics, trainers, technical writers, documentation specialists, marketing personnel, and project managers. A very broad approach to user experience through its components—usability, usefulness, and emotional impact with special attention to lightweight methods such as rapid UX evaluation techniques and an agile UX development process Universal applicability of processes, principles, and guidelines—not just for GUIs and the Web, but for all kinds of interaction and devices: embodied interaction, mobile devices, ATMs, refrigerators, and elevator controls, and even highway signage Extensive design guidelines applied in the context of the various kinds of affordances necessary to support all aspects of interaction Real-world stories and contributions from accomplished UX practitioners A practical guide to best practices and established principles in UX A lifecycle template that can be instantiated and tailored to a given project, for a given type of system development, on a given budget

• Author : Ron S. Kenett,Fabrizio Ruggeri,Frederick W. Faltin
• Publisher : John Wiley & Sons
• Release Date : 2018-06-20
• Total pages : 568
• ISBN : 9781119487364
• File Size : 18,5 Mb
• Total Download : 916
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Download Analytic Methods in Systems and Software Testing in PDF, Epub, and Kindle

A comprehensive treatment of systems and software testing using state of the art methods and tools This book provides valuable insights into state of the art software testing methods and explains, with examples, the statistical and analytic methods used in this field. Numerous examples are used to provide understanding in applying these methods to real-world problems. Leading authorities in applied statistics, computer science, and software engineering present state-of-the-art methods addressing challenges faced by practitioners and researchers involved in system and software testing. Methods include: machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability modeling. Analytic Methods in Systems and Software Testing presents its comprehensive collection of methods in four parts: Part I: Testing Concepts and Methods; Part II: Statistical Models; Part III: Testing Infrastructures; and Part IV: Testing Applications. It seeks to maintain a focus on analytic methods, while at the same time offering a contextual landscape of modern engineering, in order to introduce related statistical and probabilistic models used in this domain. This makes the book an incredibly useful tool, offering interesting insights on challenges in the field for researchers and practitioners alike. Compiles cutting-edge methods and examples of analytical approaches to systems and software testing from leading authorities in applied statistics, computer science, and software engineering Combines methods and examples focused on the analytic aspects of systems and software testing Covers logistic regression, machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability models Written by leading researchers and practitioners in the field, from diverse backgrounds including research, business, government, and consulting Stimulates research at the theoretical and practical level Analytic Methods in Systems and Software Testing is an excellent advanced reference directed toward industrial and academic readers whose work in systems and software development approaches or surpasses existing frontiers of testing and validation procedures. It will also be valuable to post-graduate students in computer science and mathematics.

• Author : Nicholas Kelly
• Publisher : Kogan Page Publishers
• Release Date : 2021-12-03
• Total pages : 232
• ISBN : 9781398602953
• File Size : 17,6 Mb
• Total Download : 762
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Download Delivering Data Analytics in PDF, Epub, and Kindle

The importance of data analytics is well known, but how can you get end users to engage with analytics and business intelligence (BI) when adoption of new technology can be frustratingly slow or may not happen at all? Avoid wasting time on dashboards and reports that no one uses with this practical guide to increasing analytics adoption by focusing on people and process, not technology. Pulling together agile, UX and change management principles, Delivering Data Analytics outlines a step-by-step, technology agnostic process designed to shift the organizational data culture and gain buy-in from users and stakeholders at every stage of the project. This book outlines how to succeed and build trust with stakeholders amid the politics, ambiguity and lack of engagement in business. With case studies, templates, checklists and scripts based on the author's considerable experience in analytics and data visualisation, this book covers the full cycle from requirements gathering and data assessment to training and launch. Ensure lasting adoption, trust and, most importantly, actionable business value with this roadmap to creating user-centric analytics projects.

• Author : Aaron Marcus,Wentao Wang
• Publisher : Springer
• Release Date : 2018-07-10
• Total pages : 811
• ISBN : 9783319917979
• File Size : 10,8 Mb
• Total Download : 590
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Download Design, User Experience, and Usability: Theory and Practice in PDF, Epub, and Kindle

The three-volume set LNCS 10918, 10919, and 10290 constitutes the proceedings of the 7th International Conference on Design, User Experience, and Usability, DUXU 2018, held as part of the 20th International Conference on Human-Computer Interaction, HCII 2018, in Las Vegas, NV, USA in July 2018. The total of 1171 papers presented at the HCII 2018 conferences were carefully reviewed and selected from 4346 submissions. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of applications areas. The total of 165 contributions included in the DUXU proceedings were carefully reviewed and selected for inclusion in this three-volume set. The 55 papers included in this volume are organized in topical sections on design thinking, methods and practice, usability and user experience evaluation methods and tools, and DUXU in software development.

• Author : Andreas François Vermeulen
• Publisher : Apress
• Release Date : 2018-02-21
• Total pages : 821
• ISBN : 9781484230541
• File Size : 10,7 Mb
• Total Download : 395
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Download Practical Data Science in PDF, Epub, and Kindle

Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions. What You'll Learn Become fluent in the essential concepts and terminology of data science and data engineering Build and use a technology stack that meets industry criteria Master the methods for retrieving actionable business knowledge Coordinate the handling of polyglot data types in a data lake for repeatable results Who This Book Is For Data scientists and data engineers who are required to convert data from a data lake into actionable knowledge for their business, and students who aspire to be data scientists and data engineers