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The tourism industry is rapidly evolving, driven by technological advancements and the increasing demand for personalized, immersive experiences. However, many businesses need help to effectively harness the power of data analytics and artificial intelligence (AI) to meet these evolving demands. The need for more understanding and expertise in utilizing AI-driven data analytics poses a significant challenge for professionals in the tourism sector, hindering their ability to drive operational efficiency and enhance decision-making. Advancing Smart Tourism Through Analytics provides a revolutionary solution to this pressing challenge. By offering a comprehensive guide that bridges the gap between data analytics, smart tourism, and AI, this book empowers scholars, practitioners, and researchers to unlock the full potential of AI in the tourism industry. With a focus on theoretical foundations and practical implementations, this book equips readers with the skills and knowledge to effectively integrate AI-driven data analytics into their business strategies. This book, targeting practitioners, scholars, and academicians in the field of tourism and hospitality, as well as students in related graduate programs, is an essential resource for those looking to stay ahead in the rapidly changing landscape of smart tourism. Advancing Smart Tourism Through Analytics offers a roadmap for revolutionizing the tourism industry and driving success in the digital age by providing insights into topics such as AI in tourism, intelligent destination management, and sustainable tourism.

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 eBookKey FeaturesEnhance your understanding of qualitative and quantitative analysis for successful UX projectsApply design thinking and use surveys, interviews, and UX analytics tools for better product designOvercome bottlenecks and challenges at each stage of the user experienceBook 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 learnUnderstand the significance of analytics in successful UX projectsApply design thinking as a problem-solving tool in a UX practiceExplore taxonomies, dashboards, KPIs, and data visualizations to understand data enterprise in depthDiscover key considerations to determine which UX analytics tools are best for your projectsCraft a North Star statement and understand how it guides your workDesign and deliver the best research findings collateralGet to grips with heuristics and performing the effective evaluationsWho 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.

In many ways, the appearance of the metaverse is an unparalleled progression. A number of new technologies have come together to enable its vision. Augmented reality (AR) and virtual reality (VR) headsets have become cheaper and more powerful improving the user experience. Blockchain has enabled digital currencies and NFTs. The new methods to transact and own digital goods are allowing creators to monetize their activities through tokens. In addition to monetization, and as a means to exchange value, token-holders can also participate in the platform's governance (e.g., vote on decisions). This democratic ownership economy coupled with the possibility of interoperability could unlock immense economic opportunities whereby digital goods and services are no longer captive to a singular gaming platform or brand. As the world steps into the metaverse, it is imperative to spark conversations with all objects and those interacting within the next dimension. Applying Metalytics to Measure Customer Experience in the Metaverse introduces metalytics, a new perspective on analytics for the new dimension of spatial and immersive Web 3.0. It presents the new conversations in the elements of a new digital age converging at a large scale. Covering topics such as big data analytics, financial services, and network analysis, this premier reference source is an essential resource for business leaders and executives, IT managers, entrepreneurs, financial specialists, consultants, statisticians, marketers, government officials, students and educators of higher education, librarians, researchers, and academicians.

Technology is not just limited to technology companies, it impacts sectors such as healthcare, agriculture, and security. In the last few decades, countries, too, have started developing technologies or integrating technologies into their systems. As a result, all countries, regardless of size, need to understand the management of engineering and technology concepts. Digital Transformations reviews fundamentals and applications through existing and emerging technologies all around the world.Big data availability and the emergence of new tools provide opportunities to detect the emergence of new technologies. Some of the major elements of such analyses include bibliometrics, patent analysis and social network analysis. The authors focus on these three tools and demonstrate their use through applications such as Blockchain, Artificial Intelligence, Robotics, 3D printing, Wireless Power, Autonomous and Electric Driving, and Smart Homes.Through the examination of cases based on emerging technologies, the book provides a spectrum of these recent applications and serves as a reference for professionals, researchers and students on fundamentals of technology utilization tools.

Learn to develop and deploy dashboards as web apps using the Python programming language, and how to integrate algorithms into web apps. Author Tshepo Chris Nokeri begins by introducing you to the basics of constructing and styling static and interactive charts and tables before exploring the basics of HTML, CSS, and Bootstrap, including an approach to building web pages with HTML. From there, he'll show you the key Python web frameworks and techniques for building web apps with them. You'll then see how to style web apps and incorporate themes, including interactive charts and tables to build dashboards, followed by a walkthrough of creating URL routes and securing web apps. You'll then progress to more advanced topics, like building machine learning algorithms and integrating them into a web app. The book concludes with a demonstration of how to deploy web apps in prevalent cloud platforms. Web App Development and Real-Time Web Analytics with Python isideal for intermediate data scientists, machine learning engineers, and web developers, who have little or no knowledge about building web apps that implement bootstrap technologies. After completing this book, you will have the knowledge necessary to create added value for your organization, as you will understand how to link front-end and back-end development, including machine learning. What You Will Learn Create interactive graphs and render static graphs into interactive ones Understand the essentials of HTML, CSS, and Bootstrap Gain insight into the key Python web frameworks, and how to develop web applications using them Develop machine learning algorithms and integrate them into web apps Secure web apps and deploy them to cloud platforms Who This Book Is For Intermediate data scientists, machine learning engineers, and web developers.

The use of data science and urban analytics has become a defining feature of smart cities. This timely book is a clear guide to the use of social media data for urban analytics. The book presents the foundations of urban analytics with social media data, along with real-world applications and insights on the platforms we use today. It looks at social media analytics platforms, cyberphysical data analytics platforms, crowd detection platforms, City-as-a-Platform, and city-as-a-sensor for platform urbanism. The book provides examples to illustrate how we apply and analyse social media data to determine disaster severity, assist authorities with pandemic policy, and capture public perception of smart cities. This will be a useful reference for those involved with and researching social, data, and urban analytics and informatics.

Create stunning interactive dashboard applications in Python with the Dash visualization and data analysis tool. Build interfaces that make sense of your data, and make it pretty.A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You've seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you'll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code. The book is fast-paced and caters to those entirely new to dashboards. It will talk you through the necessary software, then get straight into building the dashboards themselves. You'll learn the basic format of a Dash app in a Twitter analysis dashboard that tracks numbers of likes over time. You'll then build up skills through three more sophisticated projects. The first compares world data in three areas: volume of internet usage, percentage of parliament seats held by women, and CO2 emissions; the second is a financial portfolio dashboard that models your investments; and the third is visualizesmachine learning algorithms. The final chapter sets you up with some useful final skills, like debugging your code and applying color themes. In this book you will:Create and run your first Dash appsUse the pandas library to manipulate and analyze social media and API dataCreate a variety of stunning and effective charts using PlotlyLearn to use bar charts, chloropleth maps, contour plots, and moreExamine and build on existing apps written by the pros Dash combines several technologies to get you building dashboards quickly and efficiently. This book will do the same.

Applied User Data Collection and Analysis Using JavaScript and PHP is designed to provide the technical skills and competency to gather a wide range of user data from web applications in both active and passive methods. This is done by providing the reader with real-world examples of how a variety of different JavaScript- and PHP-based libraries can be used to gather data using custom feedback forms and embedded data gathering tools. Once data has been gathered, this book explores the process of working with numerical data, text analysis, visualization approaches, statistics, and rolling out developed applications to both data analysts and users alike.Using the collected data, this book aims to provide a deeper understanding of user behavior and interests, allowing application developers to further enhance web-application development. Key Features: Complete real-world examples of gathering data from users and web environments Offers readers the fundamentals of text analysis using JavaScript and PHP Allows the user to understand and harness JavaScript data-visualization tools Integration of new and existing data sources into a single, bespoke web-based analysis environment

Over the last two decades, researchers are looking at imbalanced data learning as a prominent research area. Many critical real-world application areas like finance, health, network, news, online advertisement, social network media, and weather have imbalanced data, which emphasizes the research necessity for real-time implications of precise fraud/defaulter detection, rare disease/reaction prediction, network intrusion detection, fake news detection, fraud advertisement detection, cyber bullying identification, disaster events prediction, and more. Machine learning algorithms are based on the heuristic of equally-distributed balanced data and provide the biased result towards the majority data class, which is not acceptable considering imbalanced data is omnipresent in real-life scenarios and is forcing us to learn from imbalanced data for foolproof application design. Imbalanced data is multifaceted and demands a new perception using the novelty at sampling approach of data preprocessing, an active learning approach, and a cost perceptive approach to resolve data imbalance. Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance offers new aspects for imbalanced data learning by providing the advancements of the traditional methods, with respect to big data, through case studies and research from experts in academia, engineering, and industry. The chapters provide theoretical frameworks and the latest empirical research findings that help to improve the understanding of the impact of imbalanced data and its resolving techniques based on data preprocessing, active learning, and cost perceptive approaches. This book is ideal for data scientists, data analysts, engineers, practitioners, researchers, academicians, and students looking for more information on imbalanced data characteristics and solutions using varied approaches.

Data Mining and Analytics provides a broad and interactive overview of a rapidly growing field. The exponentially increasing rate at which data is generated creates a corresponding need for professionals who can effectively handle its storage, analysis, and translation.

Audience and media analytics is more important now than ever, and this latest volume in the cutting-edge BEA Electronic Media Research Series collects some of the top scholars working with big data and analytics today. These chapters describe the development and help define media analytics as an academic discipline and professional practice. Understanding audiences is integral to creating and distributing media messages and the study of media analytics requires knowing a range of skills including research methods, the necessary tools available, familiarity with statistical procedures, and a mindset to provide insights and apply findings. This book summarizes the insights of analytics practitioners regarding the current state of legacy media analysis and social media analytics. Topics covered include the evolution of media technologies, the teaching of media measurement and analytics, the transition taking place in media research, and the use of media analytics to answer meaningful questions, drive content creation, and engage with audiences.

This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more. The book explains how advancements in the world of the web have been achieved and how the experiences of users can be analyzed. It looks at data gathering by the various electronic means and explores techniques for analysis and management, how to manage voluminous data, user responses, and more.This volume provides an abundance of valuable information for professionals and researchers working in the field of business analytics, big data, social network data, computer science, analytical engineering, and forensic analysis. Moreover, the book provides insights and support from both practitioners and academia in order to highlight the most debated aspects in the field.

Analyzing Analytics: Disrupting Journalism One Click at a Time critically examines how journalists use web analytics in their work and the implications of that use. Now that web analytics has become deeply embedded in newsrooms, its impact on journalism is even more potent. Documenting the different ways web analytics has disrupted traditional journalism, the book provides a timely review of what we know so far about the place of web analytics in reporting, and maps a future research agenda. It conceptualizes web analytics as an object of journalism where audiences, businesses, technologists, and journalists confront one another, negotiating the contours of digital journalism in the process.Including newly developed theoretical frameworks as well as case studies and empirical projects, the book is ideal for journalism students, researchers, and professional journalists.

Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you'll examine how to analyze data at scale to derive insights from large datasets efficiently.Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you're not familiar with or prefer to focus on specific tasks, this reference is indispensable.

Use Adobe Analytics as a marketer —not a programmer! If you're a marketer in need of a non-technical, beginner's reference to using Adobe Analytics, this book is the perfect place to start. Adobe Analytics For Dummies arms you with a basic knowledge of the key features so that you can start using it quickly and effectively. Even if you're a digital marketer who doesn't have their hands in data day in and day out, this easy-to-follow reference makes it simple to utilize Adobe Analytics. With the help of this book, you'll better understand how your marketing efforts are performing, converting, being engaged with, and being shared in the digital space. Evaluate your marketing strategies and campaigns Explore implementation fundamentals and report architecture Apply Adobe Analytics to multiple sources Succeed in the workplace and expand your marketing skillset The marketing world is continually growing and evolving, and Adobe Analytics For Dummies will help you stay ahead of the curve.

Analyze, communicate, and design your own sophisticated and interactive web applications using the R (v 3.4) Shiny (1.1.0) packageKey FeaturesExplore the power of R Shiny to make interactive web applications easilyCreate engaging user interfaces using elements such as HTML5 shiny tags and TtabsetsBuild and deploy your interactive Shiny web application using shinyapps.ioBook DescriptionWeb Application Development with R Using Shiny helps you become familiar with the complete R Shiny package. The book starts with a quick overview of R and its fundamentals, followed by an exploration of the fundamentals of Shiny and some of the things that it can help you do. You'll learn about the wide range of widgets and functions within Shiny and how they fit together to make an attractive and easy to use application. Once you have understood the basics, you'll move on to studying more advanced UI features, including how to style apps in detail using the Bootstrap framework or and Shiny's inbuilt layout functions. You'll learn about enhancing Shiny with JavaScript, ranging from adding simple interactivity with JavaScript right through to using JavaScript to enhance the reactivity between your app and the UI. You'll learn more advanced Shiny features of Shiny, such as uploading and downloading data and reports, as well as how to interact with tables and link reactive outputs. Lastly, you'll learn how to deploy Shiny applications over the internet, as well as and how to handle storage and data persistence within Shiny applications, including the use of relational databases. By the end of this book, you'll be ready to create responsive, interactive web applications using the complete R (v 3.4) Shiny (1.1.0) suite. What you will learnHarness the power of JavaScript to customize your applicationsBuild dashboards with predefined UI and layoutsEngage your users and build better analytics using interactive plotsLearn advanced code patterns to make your applications easy to write and maintain.Develop a full understanding of Shiny s UI functions to give you the power to build a wide variety of attractive applications.Store data and interact with databases with Shiny.Learn how to share your Shiny applicationsUnderstand reactivity at the conceptual level to build more efficient and robust appsWho this book is forWeb Application Development with R Using Shiny is for you if you are interested in creating compelling web applications and interactive data visualization over the web using Shiny. Programming experience with R is required.

Untangle your web scraping complexities and access web data with ease using Python scriptsKey FeaturesHands-on recipes for advancing your web scraping skills to expert levelOne-stop solution guide to address complex and challenging web scraping tasks using PythonUnderstand web page structures and collect data from a website with easeBook DescriptionPython Web Scraping Cookbook is a solution-focused book that will teach you techniques to develop high-performance scrapers and deal with crawlers, sitemaps, forms automation, Ajax-based sites, caches, and more. You'll explore a number of real-world scenarios where every part of the development/product life cycle will be fully covered. You will not only develop the skills needed to design and develop reliable performance data flows, but also deploy your codebase to AWS. If you are involved in software engineering, product development, or data mining (or are interested in building data-driven products), you will find this book useful as each recipe has a clear purpose and objective. Right from extracting data from the websites to writing a sophisticated web crawler, the book's independent recipes will be a godsend. This book covers Python libraries, requests, and BeautifulSoup. You will learn about crawling, web spidering, working with Ajax websites, paginated items, and more. You will also learn to tackle problems such as 403 errors, working with proxy, scraping images, and LXML. By the end of this book, you will be able to scrape websites more efficiently and able to deploy and operate your scraper in the cloud.What you will learnUse a variety of tools to scrape any website and data, including BeautifulSoup, Scrapy, Selenium and many moreMaster expression languages, such as XPath and CSS, and regular expressions to extract web dataDeal with scraping traps such as hidden form fields, throttling, pagination, and different status codesBuild robust scraping pipelines with SQS and RabbitMQScrape assets like image media and learn what to do when Scraper fails to runExplore ETL techniques of building a customized crawler, parser, and convert structured and unstructured data from websitesDeploy and run your scraper as a service in AWS Elastic Container ServiceWho this book is forThis book is ideal for Python programmers, web administrators, security professionals, and anyone who wants to perform web analytics. Familiarity with Python and basic understanding of web scraping will be useful to make the best of this book.

Focusing on digital analytics principles and concepts, this book walks you through the many tools available, including step-by-step examples for typical library needs.

How well do you really know your users? With properly conducted user research, you can discover what really makes your audience tick. This practical guide will show you, step-by-step, how to gain proper insight about your users so that you can base design decisions on solid evidence. You'll not only learn the different methodologies that you can employ in user research, but also gain insight into important set-up activities, such as recruiting users and equipping your lab, and acquire analysis skills so that you can make the most of the data you've gathered. And finally, you'll learn how to communicate findings and deploy evidence, to boost your design rationale and persuade skeptical colleagues. Design your researchCost justify user researchRecruit and incentivise usersDiscover how to run your research sessionsAnalyze your resultsReporting on results and acting in your findings

Web Usage Mining, also known as Web Log Mining, is the result of user interaction with a Web server including Web logs, click streams and database transaction or the visits of search engine crawlers at a Website. Log files provide an immense source of information about the behavior of users as well as search engine crawlers. Web Usage Mining concerns the usage of common browsing patterns, i.e. pages requested in sequence from Web logs. These patterns can be utilized to enhance the design and modification of a Website. Analyzing and discovering user behavior is helpful for understanding what online information users inquire and how they behave. The analyzed result can be used in intelligent online applications, refining Websites, improving search accuracy when seeking information and lead decision makers towards better decisions in changing markets, for instance by putting advertisements in ideal places. Similarly, the crawlers or spiders are accessing the Websites to index new and updated pages. These traces help to analyze the behavior of search engine crawlers. The log files are unstructured files and of huge size. These files need to be extracted and pre-processed before any data mining functionality to follow. Pre-processing is done in unique ways for each application. Two pre-processing algorithms are proposed based on indiscernibility relations in rough set theory which generates Equivalence Classes. The first algorithm generates a pre-processed file with successful user requests while the second one generates a pre-processed file for pre-fetching and caching purposes. Two algorithms are proposed to extract usage analytics. The first algorithm identifies the origin of visits, the top referring sites and the most popular keywords used by the visitor to arrive at a Website. The second algorithm extracts user agents like browsers and operating systems used by a visitor to access a Website. In this study, clustering of users based on Entry Pages to a Website is done to analyze the deep linked traffic at a Website. The Top Ten Entry Pages, the traffic and the temporal information of the Top Ten Entry Pages are also studied.

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 projectsgetting set up with analytics toolsanalyzing datahow to find problems in your analyticsusing 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.

This book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand analytics focuses on conceptualizing and implementing travel demand modeling using big data. It illustrates new ways to identify, generate and utilize large quantities of data in tourism demand forecasting and modeling. Part two focuses on analytics in travel and everyday life, presenting recent developments in wearable computers and physiological measurement devices, and the implications for our understanding of on-the-go travelers and tourism design. Part three embraces tourism geoanalytics, correlating social media and geo-based data with tourism statistics. Part four discusses web-based and social media analytics and presents the latest developments in utilizing user-generated content on the Internet to understand a number of managerial problems. The final part is a collection of case studies using web-based and social media analytics, with examples from the Sochi Olympics on Twitter, leveraging online reviews in the hotel industry, and evaluating destination communications and market intelligence with online hotel reviews. The chapters in this section collectively describe a range of different approaches to understanding market dynamics in tourism and hospitality.

Develop your digital/online marketing skills and learn web analytics to understand the performance of websites and ad campaigns. Approaches covered will be immediately useful for business or nonprofit organizations. If you are completely new to Google Analytics and you want to learn the basics, this guide will introduce you to the content quickly.Web analytics is critical to online marketers as they seek to track return on investment and optimize their websites. Introduction to Google Analytics covers the basics of Google Analytics, starting with creating a blog, and monitoring the number of people who see the blog posts and where they come from. What You'll Learn Understand basic techniques to generate traffic for a blog or websiteReview the performance of a website or campaignSet up a Shopify account to track ROICreate and maximize AdWords to track conversionDiscover opportunities offered by Google, including the Google Individual Qualification Who This Book Is ForThose who need to get up to speed on Google Analytics tools and techniques for business or personal use. This book is also suitable as a student reference.

Metriken analysieren und interpretieren Besucherverhalten verstehen und auswerten Digital-Ziele definieren, Webauftritt optimieren und den Erfolg steigern Digital Analytics bezeichnet die Sammlung, Analyse und Auswertung von Daten der Nutzung aller digitalen Kanäle. Das Ziel dabei ist, diese Informationen zum besseren Verständnis des Besucherverhaltens sowie zur Optimierung der gesamten digitalen Internetpräsenz zu nutzen. Je nach Ausrichtung des jeweiligen Digitalkanals – z.B. die Steigerung der Anzahl von Kontaktanfragen, Leads oder Bestellungen auf einer Website oder auch die Vermittlung eines Markenwerts – können Sie anhand von Analytics herausfinden, wo sich Schwachstellen befinden und wie Sie Ihre eigenen Ziele durch entsprechende Optimierungen besser erreichen. Marco Hassler gibt Ihnen sowohl eine schrittweise Einführung als auch einen umfassenden Einblick in die Tiefe der Analytics-Metriken. Mit diesem Buch finden Sie z.B. heraus, welche Traffic-Quelle die wertvollsten Besucher bringt oder welche Bereiche der Website besonders verkaufsfördernd wirken. Auf diese Weise werden Sie Ihre Besucher sowie deren Verhalten und Motivation besser kennenlernen, Ihre Digitalkanäle darauf abstimmen und somit Ihren digitalen Erfolg steigern können. Darüber hinaus schlägt das Buch auch die Brücke zu angrenzenden Themenbereichen wie Usability, User Centered Design, Customer Journey, Online Branding, Social Media, Digital Marketing und Suchmaschinenoptimierung. Ziel dieses Buches ist es, konkrete Digital-Analytics-Kenntnisse zu vermitteln. Marco Hassler gibt Ihnen klare Ratschläge und Anleitungen, wie Sie Ihre Ziele erreichen, sowie wertvolle praxisorientierte Tipps Aus dem Inhalt: Teil I: Basis schaffen und Website-Nutzung messen Funktionsweise von Digital-Analytics-Systemen Datensammlung, -speicherung, -auswertung Teil II: Metriken analysieren und interpretieren Traffic-Quellen Besuchereigenschaften Besucherverhalten: Besuchsdauer und -tiefe, Klickverhalten, Besucherfluss Inhaltsnutzung: Ein- und Ausstiegsseiten, Attraktivität einer Seite Digitalkanäle: Website, Mobile Apps, Social Media, Blogs, Videos, One-Pagers Metriken nutzen: Beobachten, Vergleichen, Nachforschen und Segmentieren Teil III: Website optimieren und den Erfolg steigern Digital-Ziele definieren Zielerreichung und Conversion Key Performance Indicators Trichteranalyse

Cult of Analytics enables professionals to build an analytics driven culture into their business or organization. Marketers will learn how to turn tried and tested tactics into an actionable plan to change their culture to one that uses web analytics on a day to day basis.Through use of the fictitious ACME PLC case, Steve Jackson provides working examples based on real life situations from the various companies he has worked with, such as Nokia, KONE, Rovio, Amazon, Expert, IKEA, Vodafone, and EMC. These examples will give the reader practical techniques for their own business regardless of size or situation making Cult of Analytics a must have for any would-be digital marketer.This new edition has been thoroughly updated, now including examples out of how to get the best from Google analytics, as well as ways to use social media data, big data, tag management and advanced persona segmentation to drive real value in your organisation. It's also been expanded to include exercises and new cases for students and tutors using the book as a text.

Analyzing and Securing Social Networks focuses on the two major technologies that have been developed for online social networks (OSNs): (i) data mining technologies for analyzing these networks and extracting useful information such as location, demographics, and sentiments of the participants of the network, and (ii) security and privacy technolo