Products related to Data:
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Qualitative Data Analysis : Practical Strategies
Balancing theoretical foundations with practical strategies, this book helps you develop an approach to your qualitative analysis that is both systematic and insightful. It demonstrates the importance of tying analysis into every aspect of research, from design, through data collection and management, to writing up, and provides step-by-step guidance on how to embed analysis from start to finish.Grounded in the reality of doing research, this second edition: • Presents visual and text-based methods for analysis, using manual and digital tools • Inspires confidence as you code, connect and interrogate observational, text and visual data • Showcases best practice and helps you navigate real-life dilemmas using case studies of research from across the social sciences. Together with rich online resources including videos, datasets and journal articles, this is an important new edition for all students undertaking qualitative research, with a focus on analysis and design.
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Data Mesh : Principles, patterns, architecture, and strategies for data-driven decision making
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Data, Matter, Design : Strategies in Computational Design
Data, Matter, Design presents a comprehensive overview of current design processes that rely on the input of data and use of computational design strategies, and their relationship to an array of outputs. Technological changes, through the use of computational tools and processes, have radically altered and influenced our relationship to cities and the methods by which we design architecture, urban, and landscape systems.This book presents a wide range of curated projects and contributed texts by leading architects, urbanists, and designers that transform data as an abstraction, into spatial, experiential, and performative configurations within urban ecologies, emerging materials, robotic agents, adaptive fields, and virtual constructs. Richly illustrated with over 200 images, Data, Matter, Design is an essential read for students, academics, and professionals to evaluate and discuss how data in design methodologies and theoretical discourses have evolved in the last two decades and why processes of data collection, measurement, quantification, simulation, algorithmic control, and their integration into methods of reading and producing spatial conditions, are becoming vital in academic and industry practices.
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Future-Proof Accounting : Data and Technology Strategies
In today's rapidly evolving accounting landscape, success hinges on embracing cutting-edge technologies.Data analytics and blockchain technology have become indispensable tools for accountants as businesses increasingly digitize their operations.To remain at the forefront of the profession, accountants must possess the ability to decipher complex data and uncover emerging trends.Moreover, understanding the inner workings of blockchain technology is paramount for providing sound advice to clients.By continuously staying abreast of these groundbreaking technologies, accountants can secure their position as highly sought-after professionals. Future-Proof Accounting: Data and Technology Strategies equips accounting students, professors, and industry experts with the knowledge needed to navigate the dynamic realm of accounting.This essential resource provides readers with a comprehensive understanding of the latest technologies and their practical applications.Whether you seek to enhance your skills for the classroom or the workplace, this indispensable guide offers the tools necessary for triumph. Future-Proof Accounting: Data and Technology Strategies bridges the gap between theoretical knowledge and practical expertise, delving into the latest technological advancements and empowering students to cultivate proficiency in technologies that will shape their future careers.
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What books are there about war strategies and tactics?
There are numerous books about war strategies and tactics, ranging from historical accounts to modern military analysis. Some well-known titles include "The Art of War" by Sun Tzu, "On War" by Carl von Clausewitz, "The 33 Strategies of War" by Robert Greene, and "The Book of Five Rings" by Miyamoto Musashi. These books offer insights into the principles of warfare, leadership, and decision-making on the battlefield. Additionally, there are many contemporary military strategy books written by military leaders and scholars that provide valuable perspectives on modern warfare.
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Do active mobile data consume data volume?
Yes, active mobile data does consume data volume. When your mobile data is turned on and you are using apps, browsing the internet, streaming videos, or downloading files, data is being consumed from your data plan. It is important to monitor your data usage to avoid exceeding your data limit and potentially incurring extra charges from your mobile service provider.
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Do activated mobile data consume data volume?
Yes, activated mobile data does consume data volume. When mobile data is turned on, it allows your device to connect to the internet using your cellular network, and any data used during this connection will be deducted from your data plan. Activities such as browsing the web, streaming videos, or using apps that require an internet connection will all consume data volume when mobile data is activated. It's important to monitor your data usage to avoid exceeding your plan's limits and incurring additional charges.
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What are master data and transactional data?
Master data refers to the core data entities of an organization, such as customer, product, employee, and supplier information. This data is typically static and does not change frequently. Master data is used as a reference point for transactional data. On the other hand, transactional data refers to the detailed records of day-to-day business activities, such as sales orders, purchase orders, invoices, and payments. This data is dynamic and changes frequently as business transactions occur. Transactional data is used to track and record the specific activities and events within an organization.
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Data & AI Imperative : Designing Strategies for Exponential Growth
Unlock predictable bottom line growth through tailored data and AI strategies.In The Data & AI Imperative: Designing Strategies for Exponential Growth, celebrated data-driven growth leader, Lillian Pierson, delivers a masterclass in developing custom strategies to harness the full potential of data and AI within your organization.This book offers a clear, actionable roadmap for leveraging your company's data and technology assets to drive significant, reliable growth.With over two decades of experience, Pierson unveils her proprietary STAR framework through which you'll learn to survey, take stock of, and assess your company's current state.Finally, you'll be guided on how to recommend strategies that drive growth via the execution of optimally positioned data- and AI- intensive projects or products that directly improve your business bottom line.From conception to execution, learn to: Identify high-impact opportunities for data or AI interventions within your business. Assess your organization's readiness and data literacy to ensure successful outcomes. Implement practical, effective tactics for overseeing your data-intensive projects, from strategic plans to profitable realities. Develop and deploy AI and data strategies that exceed your business goals. While ideal for executives, managers, and other leaders of data- or AI-intensive companies, The Data & AI Imperative is also invaluable to data and technical professionals who aspire to elevate their impact by turning technical expertise into strategic leadership success.
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digitalSTRUCTURES : Data and Urban Strategies of the Civic Future
digitalSTRUCTURES: Data and Urban Strategies of the Civic Future provokes a larger body of work that engages with digital property and data infrastructures.Digital currencies (cryptocurrencies) and digital property require large amounts of land, resources, and data centers and infrastructures to store these “supplies.” There is a larger architectural and urban infrastructural challenge and urgency on how these various kinds of digital exchanges are mediated, to limit the detrimental use of our everyday resources.If our everyday objects are digital and no longer physical, how does it challenge ecological questions?How does this affect the future of urban living? The case-studies, interviews, and guest contributions prompt discussions that were part of the CityX Venice, Sezione del Padiglione Italia, at the 17th La Biennale di Venezia.Guest contributors were prompted to challenge and provoke the topics that are questioning the issues of open innovation models that operate a city, robotics and artificial intelligent systems, supply chains affected by digital storage, and data infrastructural arguments that play a large role within our Web 3.0 urban digital and real landscapes.Using a mixed-media approach, the book couples a novel exploration of XR (mixed-reality) and AR (augmented reality) into diagrammatic mapping and graphical cartography, and how data interacts with various open innovation models in digital property and real property.
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Data-Driven Customer Engagement : Mastering MarTech Strategies for Success
Embark on a journey through the rapidly evolving landscape of Marketing Technology (MarTech) with this comprehensive guide.From understanding the strategic imperatives driving MarTech adoption to navigating the intricacies of data-driven customer interaction, this book provides invaluable insights and practical strategies.Explore topics ranging from budget allocation and market potential to data readiness and GDPR compliance, gaining a deep understanding of key concepts and best practices.Whether you're grappling with the complexities of AI integration or seeking to optimize measurement and KPIs, this book equips you with the knowledge and tools needed to thrive in today's digital marketing environment.With decades of industry experience, Ralf Strauss offers in this book a roadmap for success, empowering marketers to navigate the challenges and seize the opportunities presented by MarTech innovation.
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Managerial Economics : Applications, Strategies and Tactics
Learn how to think analytically and make better business decisions as a future business leader with the insights found in MANAGERIAL ECONOMICS: APPLICATIONS, STRATEGIES AND TACTICS, 14E.This timely edition illustrates how today’s effective managers apply economic theory and techniques to solve real-world everyday decision problems.The concise new edition offers a comprehensive current approach with cutting-edge coverage of important and relevant management topics.
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Is data volume the same as mobile data?
No, data volume and mobile data are not the same. Data volume refers to the amount of data being used or transferred, which can include various types of data such as text, images, videos, etc. On the other hand, mobile data specifically refers to the internet data that is used on a mobile device, typically through a cellular network. Mobile data is a subset of data volume, as data volume can also include data used on other devices or networks.
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What do Data Science and Data Engineering mean?
Data Science involves extracting insights and knowledge from data using various techniques such as statistics, machine learning, and data visualization. Data Scientists are responsible for analyzing and interpreting complex data sets to inform business decisions and solve problems. Data Engineering, on the other hand, focuses on the design and construction of systems for collecting, storing, and processing data. Data Engineers build and maintain the infrastructure that enables data to be accessed and utilized by Data Scientists and other stakeholders. They are also responsible for ensuring the reliability, scalability, and efficiency of data pipelines and storage systems.
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How do you compare experimental data with theoretical data?
Experimental data is collected through direct observation or measurement, while theoretical data is derived from mathematical models or theoretical predictions. To compare the two, one can analyze the agreement or disagreement between the experimental and theoretical results. This can involve statistical analysis, such as calculating the percent difference or correlation coefficient, as well as visual comparison through graphs or plots. Additionally, one can also consider the sources of error in the experimental data and assess the validity of the theoretical model in explaining the observed results.
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How can one study data analysis and data management?
One can study data analysis and data management through a variety of methods. This can include enrolling in formal education programs such as a degree in data science, statistics, or computer science. Additionally, there are many online courses and tutorials available that cover data analysis and data management. Practical experience can also be gained through internships or working on real-world projects. It's important to continuously practice and apply the concepts learned through these methods to gain a deeper understanding of data analysis and data management.
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