Guidance for Data Quality Assessment

Guidance for Data Quality Assessment
Title Guidance for Data Quality Assessment PDF eBook
Author
Publisher
Pages 172
Release 1996
Genre Chemical laboratories
ISBN

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Measuring Data Quality for Ongoing Improvement

Measuring Data Quality for Ongoing Improvement
Title Measuring Data Quality for Ongoing Improvement PDF eBook
Author Laura Sebastian-Coleman
Publisher Newnes
Pages 404
Release 2012-12-31
Genre Computers
ISBN 0123977541

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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

The Practitioner's Guide to Data Quality Improvement

The Practitioner's Guide to Data Quality Improvement
Title The Practitioner's Guide to Data Quality Improvement PDF eBook
Author David Loshin
Publisher Elsevier
Pages 423
Release 2010-11-22
Genre Computers
ISBN 0080920349

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The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. - Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. - Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. - Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.

Guidance for the Data Quality Objectives Process

Guidance for the Data Quality Objectives Process
Title Guidance for the Data Quality Objectives Process PDF eBook
Author United States. Environmental protection agency. Office of environmental information (Washington DC).
Publisher DIANE Publishing
Pages 74
Release 2000
Genre
ISBN 1428904131

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Data Quality

Data Quality
Title Data Quality PDF eBook
Author Jack E. Olson
Publisher Elsevier
Pages 313
Release 2003-01-09
Genre Computers
ISBN 0080503691

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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.

Guidance for quality assurance project plans

Guidance for quality assurance project plans
Title Guidance for quality assurance project plans PDF eBook
Author
Publisher DIANE Publishing
Pages 136
Release
Genre
ISBN 1428903267

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A Practical Guide to Understanding, Managing, and Reviewing Environmental Risk Assessment Reports

A Practical Guide to Understanding, Managing, and Reviewing Environmental Risk Assessment Reports
Title A Practical Guide to Understanding, Managing, and Reviewing Environmental Risk Assessment Reports PDF eBook
Author Sally L. Benjamin
Publisher CRC Press
Pages 475
Release 2001-02-21
Genre Law
ISBN 1000687554

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A Practical Guide to Understanding, Managing and Reviewing Environmental Risk Assessment Reports provides team leaders and team members with a strategy for developing the elements of risk assessment into a readable and beneficial report. The authors believe that successful management of the risk assessment team is a key factor is quality repor