Information Quality Management
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Managing Information Quality
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Author : Martin J. Eppler
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-05
Managing Information Quality written by Martin J. Eppler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-05 with Business & Economics categories.
What makes information useful? This seemingly simple and yet intriguing and complicated question is discussed in this book. It examines ways in which the quality of information (i.e., its fitness for use) can be improved in knowledge-intensive processes (such as on-line communication, strategy, product development, or consulting). Based on existing information quality literature, the book proposes a conceptual framework to manage information quality for knowledge-based content. It presents four proven principles to apply the framework to a variety of information products. Five in-depth company case studies show how information quality can be managed systematically in order to increase the satisfaction of knowledge workers and information consumers. The book uses frequent diagrams and tables, as well as diagnostic questions and summary boxes to make its content actionable.
Information Quality
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Author : Richard Wang
language : en
Publisher: Routledge
Release Date : 2014-12-18
Information Quality written by Richard Wang and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-18 with Business & Economics categories.
Organizations today have access to vast stores of data that come in a wide variety of forms and may be stored in places ranging from file cabinets to databases, and from library shelves to the Internet. The enormous growth in the quantity of data, however, has brought with it growing problems with the quality of information, further complicated by the struggles many organizations are experiencing as they try to improve their systems for knowledge management and organizational memory. Failure to manage information properly, or inaccurate data, costs businesses billions of dollars each year. This volume presents cutting-edge research on information quality. Part I seeks to understand how data can be measured and evaluated for quality. Part II deals with the problem of ensuring quality while processing data into information a company can use. Part III presents case studies, while Part IV explores organizational issues related to information quality. Part V addresses issues in information quality education.
Journey To Data Quality
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Author : Yang W. Lee
language : en
Publisher: MIT Press (MA)
Release Date : 2006
Journey To Data Quality written by Yang W. Lee and has been published by MIT Press (MA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.
All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems level--installing the latest software or developing an expensive data warehouse--solve the basic problem of bad data quality practices. Journey to Data Qualityoffers a roadmap that can be used by practitioners, executives, and students for planning and implementing a viable data and information quality management program. This practical guide, based on rigorous research and informed by real-world examples, describes the challenges of data management and provides the principles, strategies, tools, and techniques necessary to meet them. The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization's leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.
Managing Information Quality
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Author : Martin J. Eppler
language : en
Publisher: Springer Science & Business Media
Release Date : 2003
Managing Information Quality written by Martin J. Eppler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.
What makes information useful? This seemingly simple and yet intriguing and complicated question is discussed in this book. It examines ways in which the quality of information (i.e., its fitness for use) can be improved in knowledge-intensive processes (such as on-line communication, strategy, product development, or consulting). Based on existing information quality literature, the book proposes a conceptual framework to manage information quality for knowledge-based content. It presents four proven principles to apply the framework to a variety of information products. Five in-depth company case studies show how information quality can be managed systematically in order to increase the satisfaction of knowledge workers and information consumers. The book uses frequent diagrams and tables, as well as diagnostic questions and summary boxes to make its content actionable.
Information Quality Management Theory And Applications
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Author : Al-Hakim, Latif
language : en
Publisher: IGI Global
Release Date : 2006-09-30
Information Quality Management Theory And Applications written by Al-Hakim, Latif and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-30 with Business & Economics categories.
The Internet and mobile commerce bring with them ubiquitous connectivity, real-time access, and overwhelming volumes of data and information. The growth of data warehouses and communication and information technologies has increased the need for high information quality management in organizations. Information Quality Management: Theory and Applications provides solutions to information quality problems that are becoming increasingly prevalent. Information Quality Management: Theory and Applications provides insight and support for professionals and researchers working in the field of information and knowledge management, information quality, practitioners and managers of manufacturing, and service industries concerned with the management of information.
Executing Data Quality Projects
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Author : Danette McGilvray
language : en
Publisher: Academic Press
Release Date : 2021-05-27
Executing Data Quality Projects written by Danette McGilvray and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-27 with Computers categories.
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
Management
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Author : Arthur G. Bedeian
language : en
Publisher:
Release Date : 1993
Management written by Arthur G. Bedeian and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Business & Economics categories.
Quality Assurance In Higher Education
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Author : International Network of Quality Assurance Agencies in Higher Education. International Conference
language : en
Publisher:
Release Date : 2002
Quality Assurance In Higher Education written by International Network of Quality Assurance Agencies in Higher Education. International Conference and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Education, Higher categories.
Contributed papers presented at a conference held in 2001, at Bangalore.
Library Information Science Abstracts
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Author :
language : en
Publisher:
Release Date : 2005
Library Information Science Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Information science categories.
Information Quality Management Complete Self Assessment Guide
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2017-09-10
Information Quality Management Complete Self Assessment Guide written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-10 with categories.
This exclusive Information Quality Management Self-Assessment will make you the entrusted Information Quality Management domain Master by revealing just what you need to know to be fluent and ready for any Information Quality Management challenge. How do I reduce the effort in the Information Quality Management work to be done to get problems solved? How can I ensure that plans of action include every Information Quality Management task and that every Information Quality Management outcome is in place? How will I save time investigating strategic and tactical options and ensuring Information Quality Management opportunity costs are low? How can I deliver tailored Information Quality Management advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerardus Blokdyk. Blokdyk ensures all Information Quality Management essentials are covered, from every angle: the Information Quality Management Self-Assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Information Quality Management outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Information Quality Management practitioners. Their mastery, combined with the uncommon elegance of the Self-Assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Information Quality Management are maximized with professional results. Your purchase includes access to the $249 value Information Quality Management Self-Assessment Dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.