Products related to Analytics:
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Data Analytics Applications in Gaming and Entertainment
The last decade has witnessed the rise of big data in game development as the increasing proliferation of Internet-enabled gaming devices has made it easier than ever before to collect large amounts of player-related data.At the same time, the emergence of new business models and the diversification of the player base have exposed a broader potential audience, which attaches great importance to being able to tailor game experiences to a wide range of preferences and skill levels.This, in turn, has led to a growing interest in data mining techniques, as they offer new opportunities for deriving actionable insights to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation.By now, data mining and analytics have become vital components of game development.The amount of work being done in this area nowadays makes this an ideal time to put together a book on this subject. Data Analytics Applications in Gaming and Entertainment seeks to provide a cross section of current data analytics applications in game production.It is intended as a companion for practitioners, academic researchers, and students seeking knowledge on the latest practices in game data mining.The chapters have been chosen in such a way as to cover a wide range of topics and to provide readers with a glimpse at the variety of applications of data mining in gaming.A total of 25 authors from industry and academia have contributed 12 chapters covering topics such as player profiling, approaches for analyzing player communities and their social structures, matchmaking, churn prediction and customer lifetime value estimation, communication of analytical results, and visual approaches to game analytics.This book’s perspectives and concepts will spark heightened interest in game analytics and foment innovative ideas that will advance the exciting field of online gaming and entertainment.
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Data Analytics Initiatives : Managing Analytics for Success
The categorisation of analytical projects could help to simplify complexity reasonably and, at the same time, clarify the critical aspects of analytical initiatives.But how can this complex work be categorized? What makes it so complex?Data Analytics Initiatives: Managing Analytics for Success emphasizes that each analytics project is different.At the same time, analytics projects have many common aspects, and these features make them unique compared to other projects.Describing these commonalities helps to develop a conceptual understanding of analytical work.However, features specific to each initiative affects the entire analytics project lifecycle.Neglecting them by trying to use general approaches without tailoring them to each project can lead to failure. In addition to examining typical characteristics of the analytics project and how to categorise them, the book looks at specific types of projects, provides a high-level assessment of their characteristics from a risk perspective, and comments on the most common problems or challenges.The book also presents examples of questions that could be asked of relevant people to analyse an analytics project.These questions help to position properly the project and to find commonalities and general project challenges.
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Inventory Analytics : Prescriptive Analytics in Supply Chains
This textbook provides a practice-oriented introduction into Analytics-based inventory management in complex supply chains.In the context of Business Analytics, we concentrate on Prescriptive Analytics.In addition to standard single-level inventory models also multi-level approaches for the optimal allocation of safety inventory are presented.Moreover, dynamic lot sizing problems under random demand and random yield and their relationship to Material Requirements Planning (MRP) are discussed.The models and algorithms are illustrated with the help of numerous examples. The book has been written for students of Supply Chain Management and Operations Management as well as for practitioners who are confronted with inventory management in their daily work.
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Urban Analytics
The economic and political situation of cities has shifted in recent years in light of rapid growth amidst infrastructure decline, the suburbanization of poverty and inner city revitalization.At the same time, the way that data are used to understand urban systems has changed dramatically. Urban Analytics offers a field-defining look at the challenges and opportunities of using new and emerging data to study contemporary and future cities through methods including GIS, Remote Sensing, Big Data and Geodemographics. Written in an accessible style and packed with illustrations and interviews from key urban analysts, this is a groundbreaking new textbook for students of urban planning, urban design, geography, and the information sciences.
Price: 39.99 £ | Shipping*: 0.00 £
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Are Instagram analytics apps legal?
Yes, Instagram analytics apps are legal as long as they comply with Instagram's terms of service and data privacy regulations. These apps provide users with insights and data about their Instagram account performance, such as follower growth, engagement metrics, and audience demographics. It is important to choose a reputable analytics app that prioritizes user privacy and data security to ensure compliance with legal requirements.
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Where can one study Biomedical Analytics?
One can study Biomedical Analytics at various universities and colleges that offer programs in health informatics, bioinformatics, or biomedical data science. Some well-known institutions that offer programs in Biomedical Analytics include Stanford University, Harvard University, Johns Hopkins University, and the University of California, Los Angeles. Additionally, there are online programs and professional certifications available for those looking to specialize in Biomedical Analytics.
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How can I access external YouTube analytics?
To access external YouTube analytics, you can use YouTube's Analytics API. This API allows you to retrieve data and metrics from your YouTube channel and videos programmatically. You will need to set up a project in the Google Developers Console, obtain API credentials, and then use these credentials to make requests to the Analytics API. This will allow you to access detailed analytics data such as views, watch time, and audience demographics for your YouTube content.
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What is the question for evaluation in Google Analytics?
The question for evaluation in Google Analytics is typically focused on understanding user behavior and website performance. It could be something like "What are the top pages on my website in terms of traffic and engagement?" or "How are users finding my website and what are the most effective acquisition channels?" These questions help businesses and website owners to analyze and optimize their online presence for better performance and user experience.
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Business Analytics
Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 4E.You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills.Real examples and memorable visuals illustrate data and results for each topic.Step-by-step instructions guide you through using Microsoft® Excel, Tableau, R, and JMP Pro software to perform even advanced analytics concepts.Practical, relevant problems at all levels of difficulty further help you apply what you've learned.This edition assists you in becoming proficient in topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving.MindTap digital learning resources with an interactive eBook, algorithmic practice problems with solutions and Exploring Analytics visualizations strengthen your understanding of key concepts.
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Cultural Analytics
A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data.How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on social media every day, the hundreds of millions of songs created by twenty million musicians on Soundcloud, the content of four billion Pinterest boards?In Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data.Drawing on more than a decade of research and projects from his own lab, Manovich offers a gentle, nontechnical introduction to the core ideas of data analytics and discusses the ways that our society uses data and algorithms.
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Prior Analytics
"This volume is an impressive tour de force. It is state-of-the-art Aristotle: it employs the most recent philological, philosophical, and logical advances which since the 1970’s at least have rendered previous translations and commentaries obsolete.The translation is the first to take account of the recent epistemically orientated natural-deduction approach, which restores Aristotle’s reputation as a consummate logician and reveals much more of Aristotle’s method than previous approaches.Every page of Robin Smith’s commentary shows extensive learning, taste, imagination, and skill. . . . An important and lasting contribution, not only to Aristotle scholarship and to the history of logic, but also to the history of philosophy itself." --John Corcoran, SUNY Buffalo
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Augmented Analytics : Enabling Analytics Transformation for Data-Informed Decisions
Augmented Analytics isn't just another book on data and analytics; it's a holistic resource for reimagining how your entire organization interacts with information so that it becomes insight-driven. Go beyond traditional, limited ways of making sense of data.Augmented Analytics provides a dynamic, actionable strategy for improving your organization's analytical capabilities.With this book, you can infuse your workflows with intelligent automation and modern artificial intelligence, empowering more team members to make informed, data-driven decisions. Be aware: This book is not just about adding another forecast to your dashboard.It goes deeper, presenting a holistic approach to fostering a data-driven culture of analytics excellence throughout your organization. You'll explore:Key elements and building blocks of augmented analytics, including its benefits, potential challenges, and relevance in today's business landscapeBest practices for preparing and implementing augmented analytics in your organization, including analytics roles, mindset, toolset, and skill setBest practices for data enablement, liberalization, trust, and accessibilityHow to apply a use case approach to drive business value and use augmented analytics as an enabler, with selected case studiesDrawing on extensive, real-world experience leading large organizations through this transformation, the authors provide a clear, actionable path to accelerate your organization's journey to analytical excellence.
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Can someone explain to me what Google Analytics is?
Google Analytics is a web analytics service offered by Google that allows website owners to track and analyze their website traffic. It provides valuable insights into how users interact with a website, including information about the number of visitors, their demographics, the pages they visit, and how they found the website. This data can help website owners make informed decisions about their marketing strategies, content, and user experience to improve their website's performance. Overall, Google Analytics is a powerful tool for understanding and optimizing website traffic.
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How can the Google Analytics cookie be a first-party cookie?
The Google Analytics cookie can be a first-party cookie because it is set by the website domain that the user is visiting. When a user visits a website that uses Google Analytics, the website sets the Google Analytics cookie on the user's browser. This means that the cookie is considered a first-party cookie because it is set by the same domain that the user is interacting with. As a result, the cookie can be used to track and analyze user behavior on that specific website.
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How can one use plausible analytics with a web app on a server?
Plausible analytics can be used with a web app on a server by integrating the Plausible tracking code into the web app's codebase. This tracking code will then collect data on user interactions and behavior on the web app. The data collected can be analyzed to gain insights into user engagement, popular features, and areas for improvement. By using Plausible analytics, developers can make data-driven decisions to optimize the web app for better user experience and performance.
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Do you know what the difference is between the study programs Biomedical Analytics and Medical Biology?
The study program Biomedical Analytics focuses on the use of data analysis and technology to understand biological systems and medical processes. It involves the application of computational and statistical methods to analyze biological data and make informed decisions in healthcare and biomedical research. On the other hand, Medical Biology is a broader field that encompasses the study of living organisms, their functions, and interactions at the molecular, cellular, and organismal levels. It also includes the study of diseases, genetics, and the development of new medical treatments. In summary, Biomedical Analytics is more focused on data analysis and technology in the context of biomedical research and healthcare, while Medical Biology covers a wider range of biological and medical topics.
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