Introduction To Information Quality

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Information Quality

Author : Ron S. Kenett
Publisher : John Wiley & Sons
ISBN 13 : 1118874447
Total Pages : 381 pages
Book Rating : 4.1/5 (188 download)

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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.

Introduction to Information Quality

Author : Craig Fisher
Publisher : AuthorHouse
ISBN 13 : 1468530267
Total Pages : 277 pages
Book Rating : 4.4/5 (685 download)

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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.

Data and Information Quality

Author : Carlo Batini
Publisher : Springer
ISBN 13 : 3319241060
Total Pages : 500 pages
Book Rating : 4.3/5 (192 download)

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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.

Data Quality

Author : Jack E. Olson
Publisher : Elsevier
ISBN 13 : 0080503691
Total Pages : 300 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Data Quality by : Jack E. Olson

Download or read book Data Quality written by Jack E. Olson and published by Elsevier. This book was released on 2003-01-09 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies continue to find new ways to use it. Likewise, improving the accuracy of data in information systems is fast becoming a major goal as companies realize how much it affects their bottom line. Data profiling is a new technology that supports and enhances the accuracy of databases throughout major IT shops. Jack Olson explains data profiling and shows how it fits into the larger picture of data quality. * Provides an accessible, enjoyable introduction to the subject of data accuracy, peppered with real-world anecdotes. * Provides a framework for data profiling with a discussion of analytical tools appropriate for assessing data accuracy. * Is written by one of the original developers of data profiling technology. * Is a must-read for any data management staff, IT management staff, and CIOs of companies with data assets.

The Philosophy of Information Quality

Author : Luciano Floridi
Publisher : Springer
ISBN 13 : 3319071211
Total Pages : 315 pages
Book Rating : 4.3/5 (19 download)

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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.

Data Quality

Author : Carlo Batini
Publisher : Springer Science & Business Media
ISBN 13 : 3540331735
Total Pages : 276 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Data Quality by : Carlo Batini

Download or read book Data Quality written by Carlo Batini and published by Springer Science & Business Media. This book was released on 2006-09-27 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the "Data Quality Act" in the USA and the "European 2003/98" directive of the European Parliament. Batini and Scannapieco present a comprehensive and systematic introduction to the wide set of issues related to data quality. They start with a detailed description of different data quality dimensions, like accuracy, completeness, and consistency, and their importance in different types of data, like federated data, web data, or time-dependent data, and in different data categories classified according to frequency of change, like stable, long-term, and frequently changing data. The book's extensive description of techniques and methodologies from core data quality research as well as from related fields like data mining, probability theory, statistical data analysis, and machine learning gives an excellent overview of the current state of the art. The presentation is completed by a short description and critical comparison of tools and practical methodologies, which will help readers to resolve their own quality problems. This book is an ideal combination of the soundness of theoretical foundations and the applicability of practical approaches. It is ideally suited for everyone – researchers, students, or professionals – interested in a comprehensive overview of data quality issues. In addition, it will serve as the basis for an introductory course or for self-study on this topic.

Managing Information Quality

Author : Martin J. Eppler
Publisher : Springer Science & Business Media
ISBN 13 : 3540247823
Total Pages : 312 pages
Book Rating : 4.5/5 (42 download)

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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.

Data Quality

Author : Richard Y. Wang
Publisher : Springer Science & Business Media
ISBN 13 : 0306469871
Total Pages : 167 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Data Quality by : Richard Y. Wang

Download or read book Data Quality written by Richard Y. Wang and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Quality provides an exposé of research and practice in the data quality field for technically oriented readers. It is based on the research conducted at the MIT Total Data Quality Management (TDQM) program and work from other leading research institutions. This book is intended primarily for researchers, practitioners, educators and graduate students in the fields of Computer Science, Information Technology, and other interdisciplinary areas. It forms a theoretical foundation that is both rigorous and relevant for dealing with advanced issues related to data quality. Written with the goal to provide an overview of the cumulated research results from the MIT TDQM research perspective as it relates to database research, this book is an excellent introduction to Ph.D. who wish to further pursue their research in the data quality area. It is also an excellent theoretical introduction to IT professionals who wish to gain insight into theoretical results in the technically-oriented data quality area, and apply some of the key concepts to their practice.

Quality

Author : John Beckford
Publisher : Routledge
ISBN 13 : 1134676166
Total Pages : 378 pages
Book Rating : 4.1/5 (346 download)

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Book Synopsis Quality by : John Beckford

Download or read book Quality written by John Beckford and published by Routledge. This book was released on 2012-11-12 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introductory text provides a comprehensive and detailed introduction to the theory and practice of quality in the context of 20th century management thinking. Intended primarily for students the text will also be of assistance to practising managers. Key features include: * a complete introduction to quality * an in-depth review of the work of the Quality Guru's methods, tools and techniques * international case studies drawing on public and private sectors * coverage of features both service and manufacturing industry * a Tutor Guide of OHP bases * case studies, summarized key learning points and assignment questions.

Information Quality Management

Author : Latif Al-Hakim
Publisher : IGI Global
ISBN 13 : 1599040247
Total Pages : 326 pages
Book Rating : 4.5/5 (99 download)

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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.

Entity Resolution and Information Quality

Author : John R. Talburt
Publisher : Elsevier
ISBN 13 : 9780123819734
Total Pages : 256 pages
Book Rating : 4.8/5 (197 download)

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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.

Introduction to Software Quality

Author : Gerard O’Regan
Publisher : Springer
ISBN 13 : 3319061062
Total Pages : 369 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Introduction to Software Quality by : Gerard O’Regan

Download or read book Introduction to Software Quality written by Gerard O’Regan and published by Springer. This book was released on 2014-05-22 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook describes the approaches used by software engineers to build quality into their software. The fundamental principles of software quality management and software process improvement are discussed in detail, with a particular focus on the CMMI framework. Features: includes review questions at the end of each chapter; covers both theory and practice, and provides guidance on applying the theory in an industrial environment; examines all aspects of the software development process, including project planning and tracking, software lifecycles, software inspections and testing, configuration management, and software quality assurance; provides detailed coverage of software metrics and problem solving; describes SCAMPI appraisals and how they form part of the continuous improvement cycle; presents an introduction to formal methods and the Z specification language; discusses UML, which is used to describe the architecture of the system; reviews the history of the field of software quality.

Journey to Data Quality

Author : Yang W. Lee
Publisher : Mit Press
ISBN 13 : 9780262513357
Total Pages : 226 pages
Book Rating : 4.5/5 (133 download)

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Book Synopsis Journey to Data Quality by : Yang W. Lee

Download or read book Journey to Data Quality written by Yang W. Lee and published by Mit Press. This book was released on 2009 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for assessing an organization's data quality practice and a roadmap for implementing a viable data and information quality management program, based on rigorous research and drawing on real-world examples. All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems leve--installing the latest software or developing an expensive data warehouse--solve the basic problem of bad data quality practices. Journey to Data Quality offers 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.

Quality-Driven Query Answering for Integrated Information Systems

Author : Felix Naumann
Publisher : Springer Science & Business Media
ISBN 13 : 354043349X
Total Pages : 164 pages
Book Rating : 4.5/5 (44 download)

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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.

Introduction to Quality Control

Author : Kaoru Ishikawa
Publisher : Productivity Press
ISBN 13 :
Total Pages : 468 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Introduction to Quality Control by : Kaoru Ishikawa

Download or read book Introduction to Quality Control written by Kaoru Ishikawa and published by Productivity Press. This book was released on 1990 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Measuring Data Quality for Ongoing Improvement

Author : Laura Sebastian-Coleman
Publisher : Newnes
ISBN 13 : 0123977541
Total Pages : 404 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Measuring Data Quality for Ongoing Improvement by : Laura Sebastian-Coleman

Download or read book Measuring Data Quality for Ongoing Improvement written by Laura Sebastian-Coleman and published by Newnes. This book was released on 2012-12-31 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You’ll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges Enables discussions between business and IT with a non-technical vocabulary for data quality measurement Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation

Towards the definition of an information quality metric for information fusion models

Author : Horacio Paggi
Publisher : Infinite Study
ISBN 13 :
Total Pages : 14 pages
Book Rating : 4./5 ( download)

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Book Synopsis Towards the definition of an information quality metric for information fusion models by : Horacio Paggi

Download or read book Towards the definition of an information quality metric for information fusion models written by Horacio Paggi and published by Infinite Study. This book was released on with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing information quality has become important in cyber-physical systems dealing with big data. In this regard, different models have been proposed, mainly in flat peer-to-peer networks, in which exchanging information efficiently is a key aspect due to scarce resources. However, little research has been conducted on information quality metrics for cyber-physical scenarios. In this paper, we propose an information quality metric and show its application to an information fusion model. It is a “model-oriented quality metric” since it allows non-predefined variants on its configuration depending on the application domain. The model was tested on several simulations using open datasets. The results obtained in the performance of the model confirm the validity of the information quality metric, proposed in this paper, on which the model is based. The model may have a wide variety of applications such as mobile recommendation or decision making in critical environments (emergencies, war, and so on).