Products related to Data:
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Data Culture : Develop An Effective Data-Driven Organization
Organizations often start their data journey by either procuring the technology or hiring the people.However, without an effective data-driven culture in place, they can struggle to derive value from their investments. Data Culture explores how data leaders can develop and nurture a data-driven culture tailored to their organization's needs.It outlines the types of data leadership and teams needed and the key building blocks for success, such as team recruitment, building and training, leadership, process, behavioural change management, developing, sustaining and measuring a data culture, company values and everyday decision making.It also explores the nuances of how different types of data cultures work with different types of companies, what to avoid and the differences between building a data culture from scratch and changing an existing data culture from within. With this hands-on guide, senior data leader Shorful Islam takes readers through how to successfully establish or change a data culture, sharing his expertise in behavioural change psychology and two decades of experience in fostering data culture in organizations.Supported throughout by real-world examples and cases, this will be an essential read for all data leaders and anyone involved in developing a data-driven organizational culture.
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Understanding Data, Culture and Society
- How is data shaping our identities?- What was the 'data revolution', and how did it happen?- How will AI change our societies?We live in the age of datafication: every aspect of our lives has been captured and transformed into data, from our sleeping patterns and step counts to our buying habits and political views. In this exciting new textbook, you will discover the intricate ways in which data and society are interwoven. Explaining key concepts such as 'big data' and putting theory into practice throughout, this book will make you a better expert in data and society, offering an interdisciplinary overview of a rapidly evolving field. This textbook tackles the implications of big data for democracy, identity and the global economy, showing how we cannot view our lives as separate from the technologies we have come to rely on. With learning objectives, case studies, further reading and extra resources provided in each chapter, this book is the ideal companion for students in the digital humanities and social sciences looking to deepen their understanding of data, culture and society.
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Becoming Data Literate : Building a great business, culture and leadership through data and analytics
Data is a must-have for any business looking to thrive.So is having leadership who 'get' data and use it to support their decision-making.But how do you embed the use of data and analytics across your organisation so they truly support every process end-to-end?Becoming data literate in this way is a journey that involves vision, strategy, value creation, culture and data foundations.With an evidence-based framework to guide you, this book lays out a roadmap to ensure you get where you need to go.
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Technology and Social Transformations in Hospitality, Tourism and Gastronomy : South Asia Perspectives
This book explores the relationship between technology and social transformation in tourism, hospitality and gastronomy.It presents research and case studies, elaborating on benchmark practices adopted by tourism and hospitality professionals.In recent years, technology has transformed the tourism and hospitality industry; the chapters in this book cover areas such as guest experience and service quality, as well as operational areas such as housekeeping and waste management.Further social transformation in tourism is a result of drivers such as a growing interest in gastronomy and the use of social media; this is covered in the first part of the book.The second part outlines how communities may learn from these events.With contributions from academics, entrepreneurs, destination managers and government officials from the South Asia region, this book offers a real insight in to these areas of growing interest and provide a useful resource for those researching and studying within the areas of tourism development and hospitality.
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Does Snapchat history display incorrect data?
Snapchat history does not display incorrect data. The app is designed to accurately record and display the user's activity, such as sent and received snaps, chats, and stories. However, there may be instances where the user's perception of their own activity differs from the data displayed, which could be due to memory lapses or misunderstandings of the app's features. Overall, Snapchat history is intended to provide an accurate record of the user's interactions within the app.
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Do mobile data save search history?
Mobile data itself does not save search history. Search history is typically saved by the browser or search engine you are using on your mobile device. When you are connected to mobile data, your browsing history may be stored by the browser or search engine, but the mobile data service provider does not save this information. It is always a good idea to regularly clear your browsing history and cookies to maintain privacy and security.
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What is the browsing history of mobile data?
Browsing history of mobile data refers to the record of websites and online content that a user has accessed on their mobile device. This information includes the URLs of websites visited, the time and date of each visit, and sometimes even the duration of time spent on each site. Mobile data browsing history is typically stored locally on the device and can be accessed by the user or by certain applications for various purposes such as personalization of content or targeted advertising.
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What is the search history of mobile data?
The search history of mobile data refers to a record of all the searches and online activities conducted on a mobile device. This includes the websites visited, keywords searched, and any interactions on social media platforms or apps. Mobile data search history can provide valuable insights into a user's interests, preferences, and behavior, which can be used for targeted advertising, personalized recommendations, and improving user experience. It is important to protect the privacy and security of this data to prevent unauthorized access or misuse.
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Tourism Innovation in the Digital Era : Big Data, AI and Technological Transformation
Digitalization and artificial intelligence are increasingly influencing modes of travel planning, exploration of new destinations, and promotion of them.The potential of new technologies to completely overhaul the tourism and hospitality industry is emerging; new generations of tourists will have radically different expectations and requirements in relation to today's tourists.The sharing economy and the experience economy strongly influence the creation of new business models in tourism.Many low-income economies can potentially benefit from this digital transformation and others are at risk of being left behind if they fail to embrace this moment. To explore how and why, ten chapters are presented here in Tourism Innovation in the Digital Era, ranging from topics as diverse as big data analytics in tourism marketing to the impact of AI to the use of CSR in competitiveness amongst hotel groups.Providing multidisciplinary approaches, readers will learn more about the organizational impacts of digitalization and artificial intelligence in tourism and hospitality. The book series New Perspectives in Tourism and Hospitality Management positions organizational change and behavior in the tourism and hospitality sector at its heart, providing interdisciplinary research in this field and joining the areas of organizational studies and tourism/hospitality management.
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A History of Data Visualization and Graphic Communication
A comprehensive history of data visualization—its origins, rise, and effects on the ways we think about and solve problems. With complex information everywhere, graphics have become indispensable to our daily lives.Navigation apps show real-time, interactive traffic data.A color-coded map of exit polls details election balloting down to the county level.Charts communicate stock market trends, government spending, and the dangers of epidemics.A History of Data Visualization and Graphic Communication tells the story of how graphics left the exclusive confines of scientific research and became ubiquitous.As data visualization spread, it changed the way we think. Michael Friendly and Howard Wainer take us back to the beginnings of graphic communication in the mid-seventeenth century, when the Dutch cartographer Michael Florent van Langren created the first chart of statistical data, which showed estimates of the distance from Rome to Toledo.By 1786 William Playfair had invented the line graph and bar chart to explain trade imports and exports.In the nineteenth century, the “golden age” of data display, graphics found new uses in tracking disease outbreaks and understanding social issues.Friendly and Wainer make the case that the explosion in graphical communication both reinforced and was advanced by a cognitive revolution: visual thinking.Across disciplines, people realized that information could be conveyed more effectively by visual displays than by words or tables of numbers. Through stories and illustrations, A History of Data Visualization and Graphic Communication details the 400-year evolution of an intellectual framework that has become essential to both science and society at large.
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Data versus Democracy : How Big Data Algorithms Shape Opinions and Alter the Course of History
Human attention is in the highest demand it has ever been.The drastic increase in available information has compelled individuals to find a way to sift through the media that is literally at their fingertips.Content recommendation systems have emerged as the technological solution to this social and informational problem, but they’ve also created a bigger crisis in confirming our biases by showing us only, and exactly, what it predicts we want to see.Data versus Democracy investigates and explores how, in the era of social media, human cognition, algorithmic recommendation systems, and human psychology are all working together to reinforce (and exaggerate) human bias.The dangerous confluence of these factors is driving media narratives, influencing opinions, and possibly changing election results.In this book, algorithmic recommendations, clickbait, familiarity bias, propaganda, and other pivotal concepts are analyzed and then expanded upon via fascinating and timely case studies: the 2016 US presidential election, Ferguson, GamerGate, international political movements, and more events that come to affect every one of us.What are the implications of how we engage with information in the digital age?Data versus Democracy explores this topic and an abundance of related crucial questions.We live in a culture vastly different from any that has come before.In a society where engagement is currency, we are the product.Understanding the value of our attention, how organizations operate based on this concept, and how engagement can be used against our best interests is essential in responsibly equipping ourselves against the perils of disinformation. Who This Book Is ForIndividuals who are curious about how social media algorithms work and how they can be manipulated to influence culture.Social media managers, data scientists, data administrators, and educators will find this book particularly relevant to their work.
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Deciphering Data Architectures : Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse.These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion.This practical book provides a guided tour of each architecture to help data professionals understand its pros and cons. In the process, James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features.You'll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality.Best of all, you'll be able to determine the most appropriate data architecture for your needs.By reading this book, you'll:Gain a working understanding of several data architecturesKnow the pros and cons of each approachDistinguish data architecture theory from the realityLearn to pick the best architecture for your use caseUnderstand the differences between data warehouses and data lakesLearn common data architecture concepts to help you build better solutionsAlleviate confusion by clearly defining each data architectureKnow what architectures to use for each cloud provider
Price: 63.99 £ | Shipping*: 0.00 £
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How can the internet history be tracked over mobile data?
Internet history can be tracked over mobile data through various means. Mobile carriers can track the websites and apps that a user accesses through their network. Additionally, mobile devices themselves often keep a record of browsing history, which can be accessed by anyone with physical access to the device. Furthermore, there are various software and tools available that can track and monitor internet usage on mobile devices, allowing for the tracking of internet history over mobile data.
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How can I view the search history using mobile data?
To view your search history using mobile data, you can open your mobile browser and tap on the menu icon (usually three dots) in the top right corner. Then, select "History" from the menu to view your recent searches. If you are using a search engine app, you can usually find your search history within the app settings or by tapping on your profile icon. Keep in mind that viewing your search history using mobile data may consume data, so it's important to be mindful of your data usage.
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Can you see the usage history when using data volume?
Yes, when using data volume, you can see the usage history of your data. Most mobile carriers and internet service providers provide a way for customers to track their data usage over a certain period of time. This allows users to monitor their data consumption and avoid exceeding their data limits, which could result in additional charges or slower internet speeds. By keeping track of usage history, users can better manage their data volume and make informed decisions about their data plans.
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Can you read the private search history when using mobile data?
No, mobile data providers do not have access to your private search history. Your search history is stored locally on your device and is not shared with your mobile data provider. However, it is important to note that your internet service provider may have access to your browsing history if you are using their network.
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