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Quality Of Information
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Book Synopsis Information Quality Applied by : Larry P. English
Download or read book Information Quality Applied written by Larry P. English and published by Wiley. This book was released on 2009-10-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to apply data quality management techniques to marketing, sales, and other specific business units Author and information quality management expert Larry English returns with a sequel to his much-acclaimed book, Improving Data Warehouse and Business Information Quality. In this new book he takes a hands-on approach, showing how to apply the concepts outlined in the first book to specific business areas like marketing, sales, finance, and human resources. The book presents real-world scenarios so you can see how to meld data quality concepts to specific business areas such as supply chain management, product and service development, customer care, and others. Step-by-step instruction, practical techniques, and helpful templates from the author help you immediately apply best practices and start modeling your own quality initiatives. Maintaining the quality and accuracy of business data is crucial; database managers are in need of specific guidance for data quality management in all key business areas Information Quality Applied offers IT, database, and business managers step-by-step instruction in setting up methodical and effective procedures The book provides specifics if you have to manage data quality in marketing, sales, customer care, supply chain management, product and service management, human resources, or finance The author includes templates that readers can put to immedate use for modeling their own quality initiatives A Companion Web site provides templates, updates to the book, and links to related sites
Book Synopsis Information Quality by : Ron S. Kenett
Download or read book Information Quality written by Ron S. Kenett and published by John Wiley & Sons. This book was released on 2016-12-19 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Technology, however, fails to deliver insights with added value if the quality of the information it generates is not assured. Information Quality (InfoQ) is a tool developed by the authors to assess the potential of a dataset to achieve a goal of interest, using data analysis. Whether the information quality of a dataset is sufficient is of practical importance at many stages of the data analytics journey, from the pre-data collection stage to the post-data collection and post-analysis stages. It is also critical to various stakeholders: data collection agencies, analysts, data scientists, and management. This book: Explains how to integrate the notions of goal, data, analysis and utility that are the main building blocks of data analysis within any domain. Presents a framework for integrating domain knowledge with data analysis. Provides a combination of both methodological and practical aspects of data analysis. Discusses issues surrounding the implementation and integration of InfoQ in both academic programmes and business / industrial projects. Showcases numerous case studies in a variety of application areas such as education, healthcare, official statistics, risk management and marketing surveys. Presents a review of software tools from the InfoQ perspective along with example datasets on an accompanying website. This book will be beneficial for researchers in academia and in industry, analysts, consultants, and agencies that collect and analyse data as well as undergraduate and postgraduate courses involving data analysis.
Book Synopsis Data and Information Quality by : Carlo Batini
Download or read book Data and Information Quality written by Carlo Batini and published by Springer. This book was released on 2016-03-23 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems. To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record linkage (also called object identification), data integration, error localization and correction, and examines the related techniques in a comprehensive and original methodological framework. Quality dimension definitions and adopted models are also analyzed in detail, and differences between the proposed solutions are highlighted and discussed. Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included. Last not least, the book also highlights very practical solutions, such as methodologies, benchmarks for the most effective techniques, case studies, and examples. The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete practical approaches with sound theoretical formalisms.
Book Synopsis Managing Information Quality by : Martin J. Eppler
Download or read book Managing Information Quality written by Martin J. Eppler and published by Springer Science & Business Media. This book was released on 2013-06-05 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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. The book uses frequent diagrams and tables, as well as diagnostic questions and summary boxes to make its content actionable.
Book Synopsis Entity Resolution and Information Quality by : John R. Talburt
Download or read book Entity Resolution and Information Quality written by John R. Talburt and published by Elsevier. This book was released on 2011-01-14 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Entity Resolution and Information Quality presents topics and definitions, and clarifies confusing terminologies regarding entity resolution and information quality. It takes a very wide view of IQ, including its six-domain framework and the skills formed by the International Association for Information and Data Quality {IAIDQ). The book includes chapters that cover the principles of entity resolution and the principles of Information Quality, in addition to their concepts and terminology. It also discusses the Fellegi-Sunter theory of record linkage, the Stanford Entity Resolution Framework, and the Algebraic Model for Entity Resolution, which are the major theoretical models that support Entity Resolution. In relation to this, the book briefly discusses entity-based data integration (EBDI) and its model, which serve as an extension of the Algebraic Model for Entity Resolution. There is also an explanation of how the three commercial ER systems operate and a description of the non-commercial open-source system known as OYSTER. The book concludes by discussing trends in entity resolution research and practice. Students taking IT courses and IT professionals will find this book invaluable. First authoritative reference explaining entity resolution and how to use it effectively Provides practical system design advice to help you get a competitive advantage Includes a companion site with synthetic customer data for applicatory exercises, and access to a Java-based Entity Resolution program.
Book Synopsis The Philosophy of Information Quality by : Luciano Floridi
Download or read book The Philosophy of Information Quality written by Luciano Floridi and published by Springer. This book was released on 2014-08-01 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work fulfills the need for a conceptual and technical framework to improve understanding of Information Quality (IQ) and Information Quality standards. The meaning and practical implementation of IQ are addressed, as it is relevant to any field where there is a need to handle data and issues such as accessibility, accuracy, completeness, currency, integrity, reliability, timeliness, usability, the role of metrics and so forth are all a part of Information Quality. In order to support the cross-fertilization of theory and practice, the latest research is presented in this book. The perspectives of experts from beyond the origins of IQ in computer science are included: library and information science practitioners and academics, philosophers of information, of engineering and technology, and of science are all contributors to this volume. The chapters in this volume are based on the work of a collaborative research project involving the Arts and Humanities Research Council and Google and led by Professor Luciano Floridi, University of Oxford. This work will be of interest to anyone handling data, including those from commercial, public, governmental and academic organizations. The expert editors’ contributions introduce issues of interest to scientists, database curators and philosophers, even though the issues may be disguised in the language and examples common to a different discipline.
Book Synopsis Integrating Information Technology and Management for Quality of Care by : J. Mantas
Download or read book Integrating Information Technology and Management for Quality of Care written by J. Mantas and published by IOS Press. This book was released on 2014-07-24 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The impact of information technology on the management of healthcare has been enormous in recent years, and it continues to grow in scope and complexity. This book presents papers from the 2014 International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH), held in Athens, Greece, in July 2014. The book includes 79 full papers and 12 poster presentations as well as keynotes, two workshops and three tutorials. Papers are divided into sections including: clinical informatics; decision support and intelligent systems; e-learning and education; health informatics, information management and technology assessment; healthcare IT; mobile technology in healthcare; public health informatics and issues; social and legal issues; and telemedicine. The book will be of interest to all those whose work involves the use of biomedical and health informatics.
Book Synopsis Information Quality Management by : Latif Al-Hakim
Download or read book Information Quality Management written by Latif Al-Hakim and published by IGI Global. This book was released on 2007-01-01 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technologies such as 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 becoming increasingly prevalent.Information Quality Management: Theory and Applications provides insights 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.
Book Synopsis Executing Data Quality Projects by : Danette McGilvray
Download or read book Executing Data Quality Projects written by Danette McGilvray and published by Elsevier. This book was released on 2008-09-01 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information is currency. Recent 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. In this important and timely new book, Danette McGilvray presents her “Ten Steps approach to information quality, a proven method for both understanding and creating information quality in the enterprise. Her trademarked approach—in which she has trained Fortune 500 clients and hundreds of workshop attendees—applies to all types of data and to all types of organizations. * Includes numerous templates, detailed examples, and practical advice for executing every step of the “Ten Steps approach. * 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 planning and information-gathering templates featured in the text, quick summaries of key ideas from the Ten Step methodology, and other tools and information available online.
Book Synopsis Introduction to Information Quality by : Craig Fisher
Download or read book Introduction to Information Quality written by Craig Fisher and published by AuthorHouse. This book was released on 2012-01-05 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a sound textbook for Information Technology and MIS undergraduate students, and MBA graduate students and all professionals looking to grasp a fundamental understanding of information quality. The authors performed an extensive literature search to determine the Fundamental Topics of Data Quality in Information Systems. They reviewed these topics via a survey of data quality experts at the International Conference on Information Quality held at MIT. The concept of data quality is assuming increased importance. Poor data quality affects operational, tactical and strategic decision-making, and yet error rates of up to 70%, with 30% typical are found in practice (Redman). Data that is deficient leads to misinformed people, who in turn make bad decisions. Poor quality data impedes activities such as re-engineering business processes and implementing business strategies. Poor data quality has contributed to major disasters in the federal government, NASA, Information Systems, Federal Bureau of Investigation, and most busineses. The diverse uses of data and the increased sharing of data that has arisen as a result of the widespread introduction of data warehouses have exacerbated deficiencies with the quality of data (Ballou). In addition, up to half the cost of creating a data warehouse is attributable to poor data quality. The management of data quality so as to ensure the quality of information products is examined in Wang. The purpose of this book is to alert our IT-MIS-Business professionals to the pervasiveness and criticality of data quality problems. The secondary agenda is to begin to arm the students with approaches and the commitment to overcome these problems. The current authors have a combined list of over 200 published papers on data and information quality.
Book Synopsis Challenges of Managing Information Quality in Service Organizations by : Al-Hakim, Latif
Download or read book Challenges of Managing Information Quality in Service Organizations written by Al-Hakim, Latif and published by IGI Global. This book was released on 2006-09-30 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Incorrect and misleading information associated with an enterprise's production and service jeopardize both customer relationships and customer satisfaction, and ultimately have a negative effect on revenue. This book provides insight and support for academic professionals as well as for practitioners concerned with the management of information"--Provided by publisher.
Book Synopsis Data Quality for the Information Age by : Thomas C. Redman
Download or read book Data Quality for the Information Age written by Thomas C. Redman and published by Artech House Publishers. This book was released on 1996 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: All aspects of data management are explored in this title, which provides detailed analyses of quality problems and their impacts, potential solutions and how they are combined to form an overall data quality program, senior management's role, and methods used to make and sustain improvements.
Book Synopsis Information Quality and Governance for Business Intelligence by : Yeoh, William
Download or read book Information Quality and Governance for Business Intelligence written by Yeoh, William and published by IGI Global. This book was released on 2013-12-31 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges. Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university students specializing in business intelligence, information quality, and information systems.
Book Synopsis Quality-Driven Query Answering for Integrated Information Systems by : Felix Naumann
Download or read book Quality-Driven Query Answering for Integrated Information Systems written by Felix Naumann and published by Springer Science & Business Media. This book was released on 2002-02-27 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet and the World Wide Web (WWW) are becoming more and more important in our highly interconnected world as more and more data and information is made available for online access. Many individuals and governmental, commercial, cultural, and scientific organizations increasingly depend on information sources that can be accessed and queried over the Web. For example, accessing flight schedules or retrieving stock information has become common practice in todays world. When accessing this data, many people assume that the information accessed is accurate and that the data source can be accessed reliably. These two examples clearly demonstrate that not only the information content is important, the information about the quality of the data becomes an even more crucial and critical aspect for individuals and organizations when they make plans or take decisions based on the results of their queries. More precisely, having access to information of known quality becomes critical for the well-being and indeed for the functioning of modern industrialized societies. Surprisingly, despite the urgent need for clear concepts and techniques to judge and value quality and for technology to use such (meta) information, very few scientific results are known and available. Few approaches are known to use quality measures for accessing and querying information over the Web. Only a limited number of products on the IT market address this burning problem.
Book Synopsis Executing Data Quality Projects by : Danette McGilvray
Download or read book Executing Data Quality Projects written by Danette McGilvray and published by Academic Press. This book was released on 2021-05-27 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Information and Database Quality by : Mario G. Piattini
Download or read book Information and Database Quality written by Mario G. Piattini and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a global and increasingly competitive market, where organizations are driven by information, the search for ways to transform data into true knowledge is critical to a business's success. Few companies, however, have effective methods of managing the quality of this information. Because quality is a multidimensional concept, its management must consider a wide variety of issues related to information and data quality. Information and Database Quality is a compilation of works from research and industry that examines these issues, covering both the organizational and technical aspects of information and data quality. Information and Database Quality is an excellent reference for both researchers and professionals involved in any aspect of information and database research.
Book Synopsis Measuring Information Systems Delivery Quality by : Duggan, Evan
Download or read book Measuring Information Systems Delivery Quality written by Duggan, Evan and published by IGI Global. This book was released on 2006-03-31 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The book provides analyses and explains some of the contradictions and apparent paradoxes of many information systems quality perspectives"--Provided by publisher.
