Information Quality: The Potential of Data and Analytics to Generate Knowledge

384 Pages·2016·12.11 MB·English

by  Ron S. Kenett

Information Quality

Information Quality
The Potential of Data and Analytics
to Generate Knowledge
Ron S. Kenett
KPA, Israel and University of Turin, Italy
Galit Shmueli
National Tsing Hua University, Taiwan
This edition first published 2017
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Library of Congress Cataloging‐in‐Publication Data
Names: Kenett, Ron. | Shmueli, Galit, 1971–
Title: Information quality : the potential of data and analytics to generate knowledge /
Ron S. Kenett, Dr. Galit Shmueli.
Description: Chichester, West Sussex : John Wiley & Sons, Inc., 2017. | Includes bibliographical references
and index.
Identifiers: LCCN 2016022699| ISBN 9781118874448 (cloth) | ISBN 9781118890653 (epub)
Subjects: LCSH: Data mining. | Mathematical statistics.
Classification: LCC QA276 .K4427 2017 | DDC 006.3/12–dc23
LC record available at https://lccn.loc.gov/2016022699
A catalogue record for this book is available from the British Library.
Set in 10/12pt Times by SPi Global, Pondicherry, India
10 9 8 7 6 5 4 3 2 1
To Sima; our children Dolav, Ariel, Dror, and Yoed; and their families and especially
their children, Yonatan, Alma, Tomer, Yadin, Aviv, Gili, Matan, and Eden, they are my
source of pride and motivation.
And to the memory of my dear friend, Roberto Corradetti, who dedicated his career
to applied statistics.
RSK
To my family, mentors, colleagues, and students who’ve sparked and nurtured the
creation of new knowledge and innovative thinking
GS

Contents
Foreword ix
About the authors xi
Preface xii
Quotes about the book xv
About the companion website xviii
PART I THE INFORMATION QUALITY
FRAMEWORK 1
1 Introduction to information quality 3
2 Quality of goal, data quality, and analysis quality 18
3 Dimensions of information quality and InfoQ assessment 31
4 InfoQ at the study design stage 53
5 InfoQ at the postdata collection stage 67
PART II APPLICATIONS OF InfoQ 79
6 Education 81
7 Customer surveys 109
8 Healthcare 134
9 Risk management 160
10 Official statistics 181
viii Contents
PART III IMPLEMENTING InfoQ 219
11 InfoQ and reproducible research 221
12 InfoQ in review processes of scientific publications 234
13 Integrating InfoQ into data science analytics programs,
research methods courses, and more 252
14 InfoQ support with R 265
15 InfoQ support with Minitab 295
16 InfoQ support with JMP 324
Index 351