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Author: Katherine O'Keefe
Publisher: Kogan Page Publishers
ISBN: 0749482052
Category : Business & Economics
Languages : en
Pages : 345
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Book Description
Information and how we manage, process and govern it is becoming increasingly important as organizations ride the wave of the big data revolution. Ethical Data and Information Management offers a practical guide for people in organizations who are tasked with implementing information management projects. It sets out, in a clear and structured way, the fundamentals of ethics, and provides practical and pragmatic methods for organizations to embed ethical principles and practices into their management and governance of information. Written by global experts in the field, Ethical Data and Information Management is an important book addressing a topic high on the information management agenda. Key coverage includes how to build ethical checks and balances into data governance decision making; using quality management methods to assess and evaluate the ethical nature of processing during design; change methods to communicate ethical values; how to avoid common problems that affect ethical action; and how to make the business case for ethical behaviours.
Author: Katherine O'Keefe
Publisher: Kogan Page Publishers
ISBN: 0749482052
Category : Business & Economics
Languages : en
Pages : 345
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Book Description
Information and how we manage, process and govern it is becoming increasingly important as organizations ride the wave of the big data revolution. Ethical Data and Information Management offers a practical guide for people in organizations who are tasked with implementing information management projects. It sets out, in a clear and structured way, the fundamentals of ethics, and provides practical and pragmatic methods for organizations to embed ethical principles and practices into their management and governance of information. Written by global experts in the field, Ethical Data and Information Management is an important book addressing a topic high on the information management agenda. Key coverage includes how to build ethical checks and balances into data governance decision making; using quality management methods to assess and evaluate the ethical nature of processing during design; change methods to communicate ethical values; how to avoid common problems that affect ethical action; and how to make the business case for ethical behaviours.
Author: James Price
Publisher: CRC Press
ISBN: 100381204X
Category : Business & Economics
Languages : en
Pages : 154
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Book Description
Organisations are using data, information and knowledge as a competitive weapon. Their data, information and knowledge are arguably their most valuable assets. Yet, this fourth asset is managed badly when compared to the other three assets, namely money, people and infrastructure with considerable risk to the organisation. Executives are accountable for the success of their organisations, and those who don’t manage this critical resource and business enabler effectively can be regarded as negligent. Information Assets carry enormous risk and value. Most boards and executives don’t know how to govern and manage IAs effectively and nobody is held accountable. Given this, organisations should govern and manage their Information Assets the way they manage their Financial Assets. The benefits of managing IAs well are compelling. These benefits include increased efficiency, productivity, employee satisfaction, improved decision-making, mitigating business risk and improving product, protecting corporate reputation and service delivery. Drawing on ground-breaking research, this book explains why Information Assets are so important to organisations and the barriers to managing them well. This book is unique in the sense that it takes a fresh look at this topic, is based on experience and research, and includes interviews from more than 70 industry leaders. In short, this book is written by executives and explains where to start.
Author: Laura Sebastian-Coleman
Publisher: Academic Press
ISBN: 0128217561
Category : Computers
Languages : en
Pages : 353
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Book Description
Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its challenges. The book enables data management professionals to help their organizations get more value from data by addressing the five challenges of data quality management: the meaning challenge (recognizing how data represents reality), the process/quality challenge (creating high-quality data by design), the people challenge (building data literacy), the technical challenge (enabling organizational data to be accessed and used, as well as protected), and the accountability challenge (ensuring organizational leadership treats data as an asset). Organizations that fail to meet these challenges get less value from their data than organizations that address them directly. The book describes core data quality management capabilities and introduces new and experienced DQ practitioners to practical techniques for getting value from activities such as data profiling, DQ monitoring and DQ reporting. It extends these ideas to the management of data quality within big data environments. This book will appeal to data quality and data management professionals, especially those involved with data governance, across a wide range of industries, as well as academic and government organizations. Readership extends to people higher up the organizational ladder (chief data officers, data strategists, analytics leaders) and in different parts of the organization (finance professionals, operations managers, IT leaders) who want to leverage their data and their organizational capabilities (people, processes, technology) to drive value and gain competitive advantage. This will be a key reference for graduate students in computer science programs which normally have a limited focus on the data itself and where data quality management is an often-overlooked aspect of data management courses. - Describes the importance of high-quality data to organizations wanting to leverage their data and, more generally, to people living in today's digitally interconnected world - Explores the five challenges in relation to organizational data, including "Big Data," and proposes approaches to meeting them - Clarifies how to apply the core capabilities required for an effective data quality management program (data standards definition, data quality assessment, monitoring and reporting, issue management, and improvement) as both stand-alone processes and as integral components of projects and operations - Provides Data Quality practitioners with ways to communicate consistently with stakeholders
Author: Danette McGilvray
Publisher: Academic Press
ISBN: 0128180161
Category : Computers
Languages : en
Pages : 378
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Book Description
Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online
Author: Katherine O'Keefe
Publisher: Kogan Page Publishers
ISBN: 1398610283
Category : Business & Economics
Languages : en
Pages : 393
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Book Description
Data-gathering technology is more sophisticated than ever, as are the ethical standards for using this data. This second edition shows how to navigate this complex environment. Data Ethics provides a practical framework for the implementation of ethical principles into information management systems. It shows how to assess the types of ethical dilemmas organizations might face as they become more data-driven. This fully updated edition includes guidance on sustainability and environmental management and on how ethical frameworks can be standardized across cultures that have conflicting values. There is also discussion of data colonialism, the challenge of ethical trade-offs with ad-tech and analytics such as Covid-19 tracking systems and case studies on Smart Cities and Demings Principles. As the pace of developments in data-processing technology continues to increase, it is vital to capitalize on the opportunities this affords while ensuring that ethical standards and ideals are not compromised. Written by internationally regarded experts in the field, Data Ethics is the essential guide for students and practitioners to optimizing ethical data standards in organizations.
Author: Fons Wijnhoven
Publisher: Routledge
ISBN: 1135266441
Category : Business & Economics
Languages : en
Pages : 189
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Book Description
This textbook focuses on the nature of information in order to provide graduates of any discipline with an understanding of the theory and practice that underpins information management.
Author: Laura Sebastian-Coleman
Publisher: Technics Publications
ISBN: 1634623770
Category : Computers
Languages : en
Pages : 123
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Book Description
An Executive Guide to Data Management
Author: David Baker
Publisher: Elsevier
ISBN: 0323956637
Category : Language Arts & Disciplines
Languages : en
Pages : 421
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Book Description
Benchmarking Library, Information and Education Services: New Strategic Choices in Challenging Times provides the foundations of ongoing research in the development of collections and services. The book contributes to practical outputs of general benefit to the sector, including customers, clients or stakeholders, offering ideas for how to identify comparative strengths and weaknesses and improve or enhance present practices regardless of how well institutions currently perform. The centerpiece of the book is a description, report and analysis of a major international QB exercise that culminates in a set of good practice statements. The benefits of the QB methodology are applicable to individual institutions. Because of the current global turbulence, individuals, leaders and whole institutions are keen to learn more about what is happening and how they can develop sustainable solutions to both immediate challenges and longer-term scenarios. These include an analysis of third sector organizations, e-libraries, marketing information services, vocational training in higher education, the creative arts, and the role of partnerships in organizational openness. - Discusses qualitative benchmarking and it's core tenets - Helps readers understand the experiences of others and compare their own experiences to learn and adapt practices - Presents tactics readers can use to identify their organization's professional identity, value and purpose - Provides an idea of what the future state of library, education and public services will look like
Author: Hakikur Rahman
Publisher: IGI Global
ISBN: 1466640790
Category : Computers
Languages : en
Pages : 360
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Book Description
"This book provides an overview of data mining techniques under an ethical lens, investigating developments in research best practices and examining experimental cases to identify potential ethical dilemmas in the information and communications technology sector"--Provided by publisher.
Author: Rob Kitchin
Publisher: SAGE
ISBN: 1529765110
Category : Social Science
Languages : en
Pages : 307
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Book Description
Our world is becoming ever more data-driven, transforming how business is conducted, governance enacted, and knowledge produced. Yet, the nature of data and the scope and implications of the changes taking place are not always clear. The Data Revolution is a must read for anyone interested in why data have become so important in the contemporary era. Thoroughly updated, including ten new chapters, the book provides an accessible and comprehensive: introduction to thinking conceptually about the nature of data and the field of critical data studies overview of big data, open data and data infrastructures analysis of the utility and value of big and open data for research, business, government and civil society assessment of the concerns and risks in a data-driven world and how to prevent and mitigate them.
