methodologies best-practice triangulation addison-wesley

books:

Data Resource Quality: Turning Bad Habits into Good Practices (Addison-Wesley Information Technology Series)

2 reviews
Michael H. Brackett

Addison Wesley Publishing Company, 2000

Thanks Mike - Great book!
Once again Michael Brackett does a great job. I've often thought that Michael is a perfectionist. However, I see more clearly now that he is a wounded soldier that has experienced the battles of data administration. You will find this book exciting - I mean is you love the topic. Michael dictates the "right" way to set up data administration and the ramifications of not doing so. The book is ...

Journey to Data Quality
Yang W. Lee, Leo L. Pipino, ...

The MIT Press, 2006

All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems level--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 ...

Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM)

3 reviews
Danette McGilvray

Morgan Kaufmann, 2008

Comprehensive, yet easy-to-understand approach to Data Quality
This book is a practical approach to data quality. I like that it gives many different dimensions to data quality, so that we can easily drill down into why the "data is wrong" by having a common vocabulary. It's a practical approach to getting the data clean and keeping it that way. It's written in a very approachable way that doesn't talk down to me as a reader. I am very happy with my ...

Data Quality: The Accuracy Dimension (The Morgan Kaufmann Series in Data Management Systems)

6 reviews
Jack E. Olson

Morgan Kaufmann, 2002

Best Data Quality Book (repost)
This book is the clearest, most practical book on data profiling and data quality that I have seen. Jack breaks down data quality issues into specific categories, and leaves you with a vision of what to do if you are building a data warehouse. His practical experience shows through very clearly and he talks to the IT developer (the reader) very effectively. This book is on my very short list of ...

Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
Carlo Batini, Monica Scannapieco

Springer, 2006

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 ...

Log Data Acquisition and Quality Control
Philippe Theys

Editions Technip, 1999

Improving Data Warehouse and Business Information Quality: Methods for Reducing Costs and Increasing Profits

17 reviews
Larry P. English

Wiley, 1999

The bible of IQ
To me it is the bible of information quality. Larry explains information quality in all its aspects and everybody who descide to step into this area should not read but study this book. This is a very good pylon on your journey with information quality. I strongly recomend this book to others having deep interest in this area and open to understand that information quality is not a data ...

Data Quality Assessment

3 reviews
Arkady Maydanchik

Technics Publications, LLC, 2007

Hua! It's about time.
My business, Northwest Database Services, has cleaned clients' data for over 20 years. In all that time I've only met two or three people who do this kind of work professionally on a regular basis. (Our conventions are small.) With this in mind, it is easy to see why I was so pleased and surprised to find someone had written a book about the subject; especially as thoughtful and insightful a ...

Data Quality and Record Linkage Techniques
Thomas N. Herzog, Fritz J. Scheuren, ...

Springer, 2007

This book helps practitioners gain a deeper understanding, at an applied level, of the issues involved in improving data quality through editing, imputation, and record linkage. The first part of the book deals with methods and models. Here, we focus on the Fellegi-Holt edit-imputation model, the Little-Rubin multiple-imputation scheme, and the Fellegi-Sunter record linkage model. Brief examples are included to show how these techniques work. ...

Data Quality: The Field Guide

7 reviews
Thomas Redman

Digital Press, 2001

Complete and Thorough
I like this book quite a bit because although it's not a huge doorstop of a tome in terms of length, it's quite complete and thorough. Some data quality books cover management aspects, some the technical aspects, and some take other angles. This book takes a look at all of the different angles on data quality and sums them up into a very nice package. One of the things I liked about it is ...

Statistical Methods and the Improvement of Data Quality

1 review
Tommy Wright

Academic Press, 1983

statistical research in energy data in the late 1970s and earlier 1980s
After all these years I am surprised no one has written a review of this book. From 1978 to 1980 I worked at the Oak Ridge National Laboratory doing statistical research in data quality for the Department of Energy (DOE). I had the great fortune to work with Tommy Wright, Gunar Liepins, Darryl Downing, Victor Kane, Vic Lowe, the late Toby Mitchell and the sage of mathematical statistics at Oak ...

Data Quality For The Information Age

2 reviews
Thomas C. Redman

Artech House Publishers, 1997

For both business leaders and information professionals
I found a lot of great material in this book, appealing to my interests in both business leadership and the more technical aspects of data quality. From the perspective of business leadership, I find it to be a very helpful tutorial and overview of the subject of data quality. It covers a lot of ground, ranging from discussions of data quality management concepts to specific suggestions for ...

Fundamentals of Data Warehouses
Matthias Jarke, Maurizio Lenzerini, ...

Springer, 2003

Data warehouses have captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains an art rather than a science. This book presents the first comparative review of the state of the art and best current practice of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and ...

Building and Maintaining a Data Warehouse
Fon Silvers

Auerbach Publication, 2008

As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product. While it may be easy to plan for a data warehouse that incorporates all the right concepts, taking the steps needed to create a warehouse that is as functional and user-friendly as it is theoretically sound, is not especially easy. That’s the challenge that Building and Maintaining ...

Data triangulation and web quality metrics: A case study in e-government [An article from: Information & ...
S.J. Barnes, R.T. Vidgen

Elsevier, 2006

This digital document is a journal article from Information & Management, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser. Description: The work discussed here focused on the evaluation of quality perceptions of users of an electronic government website. As government organizations have begun to enhance ...

Data Quality Control (Statistics: a Series of Textbooks and Monogrphs)

CRC, 1990

Contains 16 papers that emerged from the Survey Data Quality Control Workshop in Oak Ridge, Tennessee, April 1988. The volume is based on two premises: many useful data quality control practices have gone undocumented, and would benefit the quality control community; and better interaction among the

The Data Modeling Handbook : A Best-Practice Approach to Building Quality Data Models

13 reviews
Michael C. Reingruber, William W. Gregory

Wiley, 1994

Very good one to start a good model
It is a very good book for a Data base designer and a data modeler. I strongly recommand this book to all database people.

Managing Information Quality: Increasing the Value of Information in Knowledge-intensive Products and ...
Martin J. Eppler

Springer, 2006

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). The book proposes a conceptual framework to manage information quality for knowledge-based content, presenting four proven principles to apply ...

Enterprise Knowledge Management: The Data Quality Approach (The Morgan Kaufmann Series in Data Management ...

7 reviews
David Loshin

Morgan Kaufmann, 2001

Data Quality in the Real World
As a data warehouse practitioner for over 12 years, I was recently challenged at my current employer to help assemble a global data quality team and process. Having done much of the work before on a piecemeal basis, we made steady progress. When I received my copy of "Enterprise Knowledge Management," I found two important things: 1. We were definitely on the right track, and 2. There were some ...

Uncertainty Handling and Quality Assessment in Data Mining (Advanced Information and Knowledge Processing)
Michalis Vazirgiannis, Maria Halkidi, ...

Springer, 2003

Uncertainty Handling and Quality Assessment in Data Mining provides an introduction to the application of these concepts in Knowledge Discovery and Data Mining. It reviews the state-of-the-art in uncertainty handling and discusses a framework for unveiling and handling uncertainty. Coverage of quality assessment begins with an introduction to cluster analysis and a comparison of the methods and approaches that may be used. The techniques and ...

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