Toward A Framework For Assessing Data Quality


Toward A Framework For Assessing Data Quality
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Toward A Framework For Assessing Data Quality


Toward A Framework For Assessing Data Quality
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Author : Mrs.Carol S. Carson
language : en
Publisher: INTERNATIONAL MONETARY FUND
Release Date : 2001-03-01

Toward A Framework For Assessing Data Quality written by Mrs.Carol S. Carson and has been published by INTERNATIONAL MONETARY FUND this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-03-01 with Business & Economics categories.


This paper describes work in progress on data quality, an important element of greater transparency in economic policy and financial stability. Data quality is being dealt with systematically by the IMF through the development of data quality assessment frameworks complementing the IMF’s Special Data Dissemination Standard (SDDS) and General Data Dissemination System (GDDS). The aim is to improve the quality of data provided by countries to the IMF; and to assess evenhandedly the quality of countries’ data in Reports on the Observance of Standards and Codes. The frameworks bring together best practices including those of the United Nations Fundamental Principles of Official Statistics.



Toward A Framework For Assessing Data Quality


Toward A Framework For Assessing Data Quality
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Author : Carol S. Carson
language : en
Publisher:
Release Date : 2001

Toward A Framework For Assessing Data Quality written by Carol S. Carson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Economic indicators categories.




Corporate Data Quality


Corporate Data Quality
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Author : Boris Otto
language : en
Publisher: epubli
Release Date : 2015-12-08

Corporate Data Quality written by Boris Otto and has been published by epubli this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-08 with Business & Economics categories.


Data is the foundation of the digital economy. Industry 4.0 and digital services are producing so far unknown quantities of data and make new business models possible. Under these circumstances, data quality has become the critical factor for success. This book presents a holistic approach for data quality management and presents ten case studies about this issue. It is intended for practitioners dealing with data quality management and data governance as well as for scientists. The book was written at the Competence Center Corporate Data Quality (CC CDQ) in close cooperation between researchers from the University of St. Gallen and Fraunhofer IML as well as many representatives from more than 20 major corporations. Chapter 1 introduces the role of data in the digitization of business and society and describes the most important business drivers for data quality. It presents the Framework for Corporate Data Quality Management and introduces essential terms and concepts. Chapter 2 presents practical, successful examples of the management of the quality of master data based on ten cases studies that were conducted by the CC CDQ. The case studies cover every aspect of the Framework for Corporate Data Quality Management. Chapter 3 describes selected tools for master data quality management. The three tools have been distinguished through their broad applicability (method for DQM strategy development and DQM maturity assessment) and their high level of innovation (Corporate Data League). Chapter 4 summarizes the essential factors for the successful management of the master data quality and provides a checklist of immediate measures that should be addressed immediately after the start of a data quality management project. This guarantees a quick start into the topic and provides initial recommendations for actions to be taken by project and line managers. Please also check out the book's homepage at cdq-book.org/



South Africa


South Africa
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Author : International Monetary Fund
language : en
Publisher: International Monetary Fund
Release Date : 2001-10-16

South Africa written by International Monetary Fund and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-16 with Business & Economics categories.


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.



Sri Lanka


Sri Lanka
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Author : International Monetary Fund
language : en
Publisher: International Monetary Fund
Release Date : 2002-05-22

Sri Lanka written by International Monetary Fund and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-05-22 with Business & Economics categories.


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



Measuring Data Quality For Ongoing Improvement


Measuring Data Quality For Ongoing Improvement
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Author : Laura Sebastian-Coleman
language : en
Publisher: Newnes
Release Date : 2012-12-31

Measuring Data Quality For Ongoing Improvement written by Laura Sebastian-Coleman and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-31 with Computers categories.


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



Senegal


Senegal
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Author : International Monetary Fund
language : en
Publisher: International Monetary Fund
Release Date : 2002-12-02

Senegal written by International Monetary Fund and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-12-02 with Business & Economics categories.


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.



Management Of Data Quality In Enterprise Resource Planning Systems


Management Of Data Quality In Enterprise Resource Planning Systems
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Author : Michael Röthlin
language : en
Publisher: BoD – Books on Demand
Release Date : 2010

Management Of Data Quality In Enterprise Resource Planning Systems written by Michael Röthlin and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Business & Economics categories.


Originally presented as the author's thesis (doctoral)--Universiteat Bern, 2010.



Financial Soundness Indicators


Financial Soundness Indicators
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Author : International Monetary Fund
language : en
Publisher: International Monetary Fund
Release Date : 2006-04-04

Financial Soundness Indicators written by International Monetary Fund and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-04 with Business & Economics categories.


Financial Soundness Indicators (FSIs) are measures that indicate the current financial health and soundness of a country's financial institutions, and their corporate and household counterparts. FSIs include both aggregated individual institution data and indicators that are representative of the markets in which the financial institutions operate. FSIs are calculated and disseminated for the purpose of supporting macroprudential analysis--the assessment and surveillance of the strengths and vulnerabilities of financial systems--with a view to strengthening financial stability and limiting the likelihood of financial crises. Financial Soundness Indicators: Compilation Guide is intended to give guidance on the concepts, sources, and compilation and dissemination techniques underlying FSIs; to encourage the use and cross-country comparison of these data; and, thereby, to support national and international surveillance of financial systems.



Executing Data Quality Projects


Executing Data Quality Projects
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Author : Danette McGilvray
language : en
Publisher: Elsevier
Release Date : 2008-09-01

Executing Data Quality Projects written by Danette McGilvray and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-01 with Computers categories.


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.