Skip to Main Content
Measuring Data Quality for Ongoing Improvement
book

Measuring Data Quality for Ongoing Improvement

by Laura Sebastian-Coleman
December 2012
Intermediate to advanced content levelIntermediate to advanced
376 pages
13h 56m
English
Morgan Kaufmann
Content preview from Measuring Data Quality for Ongoing Improvement
Appendix D

Prediction, Error, and Shewhart’s Lost Disciple, Kristo Ivanov

Purpose

This appendix summarizes Kristo Ivanov’s thinking on information quality. I have referenced Ivanov in Measuring Data Quality for Ongoing Improvement, but his work is not well known in data quality circles. Because it has greatly influenced a range of ideas I have presented, I want to explain it in more detail.

Ivanov is a Professor of Informatics and an expert in systems theory who has written extensively on the social impact of information systems and hypersystems and the wisdom of crowds. He started his career with the question of how we define information quality. His 1972 doctoral thesis, Quality-control of Information: On the Concept of Accuracy of Information ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

A Product Development Approach to Improving Data Quality

A Product Development Approach to Improving Data Quality

Data Science Salon
Data Stewardship

Data Stewardship

David Plotkin

Publisher Resources

ISBN: 9780123970336