Data Quality Assessment - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Quality Assessment write by Arkady Maydanchik. This book was released on 2007. Data Quality Assessment available in PDF, EPUB and Kindle. Imagine a group of prehistoric hunters armed with stone-tipped spears. Their primitive weapons made hunting large animals, such as mammoths, dangerous work. Over time, however, a new breed of hunters developed. They would stretch the skin of a previously killed mammoth on the wall and throw their spears, while observing which spear, thrown from which angle and distance, penetrated the skin the best. The data gathered helped them make better spears and develop better hunting strategies. Quality data is the key to any advancement, whether it is from the Stone Age to the Bronze Age. Or from the Information Age to whatever Age comes next. The success of corporations and government institutions largely depends on the efficiency with which they can collect, organise, and utilise data about products, customers, competitors, and employees. Fortunately, improving your data quality does not have to be such a mammoth task. This book is a must read for anyone who needs to understand, correct, or prevent data quality issues in their organisation. Skipping theory and focusing purely on what is practical and what works, this text contains a proven approach to identifying, warehousing, and analysing data errors. Master techniques in data profiling and gathering metadata, designing data quality rules, organising rule and error catalogues, and constructing the dimensional data quality scorecard. David Wells, Director of Education of the Data Warehousing Institute, says "This is one of those books that marks a milestone in the evolution of a discipline. Arkady's insights and techniques fuel the transition of data quality management from art to science -- from crafting to engineering. From deep experience, with thoughtful structure, and with engaging style Arkady brings the discipline of data quality to practitioners."
Measuring Data Quality for Ongoing Improvement
Measuring Data Quality for Ongoing Improvement - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Measuring Data Quality for Ongoing Improvement write by Laura Sebastian-Coleman. This book was released on 2012-12-31. Measuring Data Quality for Ongoing Improvement available in PDF, EPUB and Kindle. 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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Practitioner's Guide to Data Quality Improvement write by David Loshin. This book was released on 2010-11-22. The Practitioner's Guide to Data Quality Improvement available in PDF, EPUB and Kindle. 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.
Handbook of EHealth Evaluation
Handbook of EHealth Evaluation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of EHealth Evaluation write by Francis Yin Yee Lau. This book was released on 2016-11. Handbook of EHealth Evaluation available in PDF, EPUB and Kindle. To order please visit https://onlineacademiccommunity.uvic.ca/press/books/ordering/
Assessing the Quality of Survey Data
Assessing the Quality of Survey Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Assessing the Quality of Survey Data write by Jörg Blasius. This book was released on 2012-02-21. Assessing the Quality of Survey Data available in PDF, EPUB and Kindle. This is a book for any researcher using any kind of survey data. It introduces the latest methods of assessing the quality and validity of such data by providing new ways of interpreting variation and measuring error. By practically and accessibly demonstrating these techniques, especially those derived from Multiple Correspondence Analysis, the authors develop screening procedures to search for variation in observed responses that do not correspond with actual differences between respondents. Using well-known international data sets, the authors exemplify how to detect all manner of non-substantive variation having sources such as a variety of response styles including acquiescence, respondents′ failure to understand questions, inadequate field work standards, interview fatigue, and even the manufacture of (partly) faked interviews.
