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Author: Laura Sebastian-Coleman
Publisher: Newnes
ISBN: 0123977541
Category : Computers
Languages : en
Pages : 404
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Book Description
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
Author: Laura Sebastian-Coleman
Publisher: Newnes
ISBN: 0123977541
Category : Computers
Languages : en
Pages : 404
Get Book Here
Book Description
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
Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN: 1451833911
Category : Business & Economics
Languages : en
Pages : 171
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Book Description
This Report on the Observance of Standards and Codes data module provides a review of Senegal’s data dissemination practices against the IMF’s General Data Dissemination System, complemented by an in-depth assessment of the quality of the national accounts, consumer price index, government finance, monetary balance of payments, and income poverty statistics. The assessment reveals that Senegal generally follows the recommendations of this system for the coverage, periodicity, and timeliness of all data categories. Overall, the institutional environment of the data-producing agencies supports statistical quality.
Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN: 1451823479
Category : Business & Economics
Languages : en
Pages : 145
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Book Description
This report is a summary assessment of Sri Lanka’s data dissemination practices against the IMF’s Special Data Dissemination Standard (SDDS), complemented by an in-depth assessment of the elements of data quality that underlie the national accounts, prices, government finance, monetary, and balance-of-payments statistics. Sri Lanka has made good progress in meeting most of the SDDS specifications on coverage, periodicity, and timeliness of data categories. Shortcomings exist in the access, integrity, and quality dimensions compared with the SDDS. All agencies demonstrate professionalism and are generally transparent in their practices and policies
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309465370
Category : Social Science
Languages : en
Pages : 195
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Book Description
The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.
Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN: 1451840969
Category : Business & Economics
Languages : en
Pages : 164
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Book Description
The Money and Banking Division of the Research Department of the South African Reserve Bank plans to conduct a review of its entire time series database following the implementation of new bank reporting structures in January 2001. This is a time-consuming process, and the release of a comprehensively revised time series structure, incorporating balance-sheet information with a monthly frequency, is not expected before the end of 2003. Review of the composition of “other assets” and “other liabilities” and to reclassify are needed.
Author: Carlo Batini
Publisher: Springer Science & Business Media
ISBN: 3540331735
Category : Computers
Languages : en
Pages : 276
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Book Description
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.
Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN: 1451835884
Category : Business & Economics
Languages : en
Pages : 154
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Book Description
In Sweden, the consumer price index (CPI) and the producer price index (PPI) follow internationally agreed practices and standards in terms of concepts, definitions, and use classifications. The scope of the indices follows international standards concerning both weights and the coverage of prices collected. Thus, the CPI covers all resident household consumption of goods and services classified according to the Classification of Individual Consumption by Purpose (COICOP), and the PPI includes all resident market-enterprise production of goods classified according to the Combined Nomenclature (CN).
Author: Carlo Batini
Publisher: Springer
ISBN: 3319241060
Category : Computers
Languages : en
Pages : 520
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Book Description
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.
Author: Boris Otto
Publisher:
ISBN: 9783737575928
Category :
Languages : en
Pages :
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Book Description
Author: Daniela Angelina Jelincic
Publisher: World Scientific
ISBN: 9813233699
Category : Business & Economics
Languages : en
Pages : 378
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Book Description
A key tool in creating a destination experience is the experience economy. This is even more true for cultural tourism experiences since culture's intrinsic values are inherently linked to experiences.The book Creating and Managing Experiences in Cultural Tourism aims to provide theoretical and practical background on the experience economy applied in sustainable cultural tourism. This entails a wide range of subjects addressing cultural heritage, creative industries and contemporary culture. Theoretical approaches to experience creation are presented to offer the 'rules' of designing the cultural tourism experiences. With inspirational and innovative examples, it provides an insight into the field of cultural tourism from prominent editors, authors and contributors in their respective fields.
