Products related to Data:
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Data Governance : Governing data for sustainable business
Data is fundamentally changing the nature of businesses and organisations and the mechanisms for delivering products and services.This book is a practical guide to developing strategy and policy for data governance, in line with the developing ISO 38505 governance of data standards.It will assist an organisation wanting to become more of a data driven business by explaining how to assess the value, risks and constraints associated with collecting, using and distributing data.
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Data Justice
"The definitive book on the social, political, and economic dimensions of data." - Vincent Mosco, author of The Smart City in a Digital World "An essential handbook for those invested in reclaiming our digital space." - Payal Arora, author of The Next Billion Users and FemLab Co-Founder In an age of datafication, the systematic collection, analysis and exploitation of data impacts all aspects of our social lives. Crucially, there are winners and losers in this.From access to services, to the risk of being wrongfully targeted, to our very understanding of the social world and what we think matters in it. Data Justice is a cutting-edge exploration of the power relations that lay at the heart of our datafied lives.It outlines the intricate relationship between datafication and social justice, exploring how societies are, will, and should be affected by data-driven technology and automation. From data capitalism and data colonialism, to data harms and data activism – this book is an expert guide to the debates central to understanding the injustices of life in a datafied society. It is also an urgent and impassioned call to challenge and reimagine these injustices.To work collectively to achieve a fairer and more just future. Data Justice is an essential resource for anyone working and studying across critical data studies, and anyone interested in the social consequences of big data, smart technology and AI. Dr Lina Dencik, Dr Arne Hintz, Dr Joanna Redden and Dr Emiliano Treré are co-Directors of the Data Justice Lab at Cardiff University.
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Data Governance For Dummies
How to build and maintain strong data organizations—the Dummies way Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves results and doesn't disrupt.Prep your organization to handle the data explosion (if you know, you know) and learn how to manage this valuable asset.Take full control of your organization’s data with all the info and how-tos you need.This book walks you through making accurate data readily available and maintaining it in a secure environment.It serves as your step-by-step guide to extracting every ounce of value from your data.Identify the impact and value of data in your businessDesign governance programs that fit your organizationDiscover and adopt tools that measure performance and needAddress data needs and build a more data-centric business cultureThis is the perfect handbook for professionals in the world of data analysis and business intelligence, plus the people who interact with data on a daily basis. And, as always, Dummies explains things in terms anyone can understand, making it easy to learn everything you need to know.
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Data Governance : How to Design, Deploy, and Sustain an Effective Data Governance Program
Managing data continues to grow as a necessity for modern organizations.There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services.It has become apparent that none of these opportunities can happen smoothly without data governance.The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk.The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program.It is required to ensure consistent, accurate and reliable data across their organization.This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable.This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses.With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program.
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"Equality before, but justice first?"
"Equality before, but justice first" suggests that while equality is important, it should not come at the expense of justice. This phrase emphasizes the need to address systemic injustices and inequalities in order to achieve true equality. It implies that simply treating everyone the same does not necessarily address the underlying issues of discrimination and oppression. Instead, it calls for prioritizing justice in order to create a more equitable society for all.
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What is the difference between justice and equality?
Justice refers to the fair and impartial treatment of individuals based on their actions and circumstances. It involves ensuring that individuals receive what they deserve based on their conduct and the law. On the other hand, equality refers to the state of being equal, especially in status, rights, and opportunities. It focuses on ensuring that everyone has the same access to resources and opportunities, regardless of their background or circumstances. While justice emphasizes fairness and impartiality, equality emphasizes equal treatment and access to resources.
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Can there be justice and equality at the same time?
Justice and equality are interconnected concepts, but achieving both at the same time can be challenging. Justice often involves addressing historical and systemic inequalities, while equality aims to ensure fairness and equal opportunities for all. Striking a balance between the two requires addressing underlying power dynamics and creating policies that promote both justice and equality. It is possible to work towards achieving justice and equality simultaneously, but it requires a comprehensive and inclusive approach that addresses the complexities of social, economic, and political systems.
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What is more important to you: freedom, equality, or justice?
As an AI language model, I don't have personal preferences, but I can provide an analysis. The importance of freedom, equality, and justice can vary depending on the context and individual perspectives. However, all three values are essential for a fair and just society. Freedom allows individuals to express themselves and pursue their goals, while equality ensures that everyone has the same opportunities and rights. Justice is crucial for holding individuals and institutions accountable and ensuring that everyone is treated fairly under the law. Ultimately, a balance of all three values is necessary for a functioning and equitable society.
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Data Stewardship : An Actionable Guide to Effective Data Management and Data Governance
Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality.Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship into project management, handling Data Stewardship in large international companies, handling "big data" and Data Lakes, and a pivot in the overall thinking around the best way to align data stewardship to the data—moving from business/organizational function to data domain.Furthermore, the role of process in data stewardship is now recognized as key and needed to be covered.Data Stewardship, Second Edition provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on organizational/company structure, business functions, and data ownership.The book shows data managers how to gain support for a stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort.It includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards.
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The Enterprise Data Catalog : Improve Data Discovery, Ensure Data Governance, and Enable Innovation
Combing the web is simple, but how do you search for data at work?It's difficult and time-consuming, and can sometimes seem impossible.This book introduces a practical solution: the data catalog.Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog.You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog.Written from a data management perspective and from a library and information science perspective, this book helps you:Learn what a data catalog is and how it can help your organizationOrganize data and its sources into domains and describe them with metadataSearch data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphsManage the data in your company via a data catalogImplement a data catalog in a way that exactly matches the strategic priorities of your organizationUnderstand what the future has in store for data catalogs
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Data Governance and Policy in Africa
This open access book examines data governance and its implications for policymaking in Africa.Bringing together economists, lawyers, statisticians, and technology experts, it assesses gaps in both the availability and use of existing data across the continent, and argues that data creation, management and governance need to improve if private and public sectors are to reap the benefits of big data and digital technologies.It also considers lessons from across the globe to assess principles, norms and practices that can guide the development of data governance in Africa.The book will appeal to scholars and students of data governance, technology and public policy, as well as practitioners and policy makers.
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Global Digital Data Governance : Polycentric Perspectives
This book provides a nuanced exploration of contemporary digital data governance, highlighting the importance of cooperation across sectors and disciplines in order to adapt to a rapidly evolving technological landscape.Most of the theory around global digital data governance remains scattered and focused on specific actors, norms, processes, or disciplinary approaches.This book argues for a polycentric approach, allowing readers to consider the issue across multiple disciplines and scales. Polycentrism, this book argues, provides a set of lenses that tie together the variety of actors, issues, and processes intertwined in digital data governance at subnational, national, regional, and global levels.Firstly, this approach uncovers the complex array of power centers and connections in digital data governance.Secondly, polycentric perspectives bridge disciplinary divides, challenging assumptions and drawing together a growing range of insights about the complexities of digital data governance.Bringing together a wide range of case studies, this book draws out key insights and policy recommendations for how digital data governance occurs and how it might occur differently. Written by an international and interdisciplinary team, this book will be of interest to students and scholars in the field of development studies, political science, international relations, global studies, science and technology studies, sociology, and media and communication studies. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
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Doesn't the symbol stand for equality or also for justice?
The symbol of the equal sign is commonly associated with the concept of equality, representing the idea that two quantities are the same or balanced. However, it can also be interpreted as a symbol of justice, as it signifies fairness and impartiality in mathematical equations and logical reasoning. In this sense, the equal sign can be seen as a representation of both equality and justice, embodying the principles of balance and fairness in various contexts.
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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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