文档介绍：Measuring Data Quality for
Ongoing Improvement
This page intentionally left blank
Measuring Data Quality for
Ongoing Improvement
A Data Quality Assessment
Framework
Laura Sebastian-Coleman
AMSTERDAM • BOSTON • HEIDELBERG • LONDON
NEW YORK • OXFORD • PARIS • SAN DIEGO
SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO
Morgan Kaufmann is an imprint of Elsevier
Acquiring Editor: Andrea Dierna
Development Editor: Heather Scherer
Project Manager: Anitha Kittusamy Ramasamy
Designer: Alan Studholme
Morgan Kaufmann is an imprint of Elsevier
225 Wyman Street, Waltham, MA 02451, USA
Copyright © 2013 Ingenix, Inc. Published by Elsevier, Inc. All rights reserved.
No part of this publication may be reproduced or transmitted in any form or by any means, electronic or
mechanical, including photocopying, recording, or any information storage and retrieval system, without
permission in writing from the publisher. Details on how to seek permission, further information about the
Publisher’s permissions policies and our arrangements anizations such as the Copyright Clearance
Center and the Copyright Licensing Agency, can be found at our website: missions.
This book and the individual contributions contained in it are protected under copyright by the Publisher
(other than as may be noted herein).
Notices
Knowledge and best practice in this field are constantly changing. As new research and experience broaden our
understanding, changes in research methods or professional practices, may e necessary. Practitioners and
researchers must always rely on their own experience and knowledge in evaluating and using any information or
methods described herein. In using such information or methods they should be mindful of their own safety and
the safety of others, including parties for whom they have a professional responsibility.
To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability
f