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

MichaelKennethKnight
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Item specifics

Condition
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See all condition definitionsopens in a new window or tab
Seller Notes
“Hardcover issued without dust-jacket. A little bumping to edges of boards. Otherwise, clean and ...
Book Title
Information Quality: The Potential of Data and Analytics to Ge
ISBN
9781118874448
Category

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1118874447
ISBN-13
9781118874448
eBay Product ID (ePID)
228619039

Product Key Features

Number of Pages
384 Pages
Language
English
Publication Name
Information Quality : the Potential of Data and Analytics to Generate Knowledge
Publication Year
2016
Subject
Probability & Statistics / General, Databases / Data Mining
Type
Textbook
Author
Ron S. Kenett, Galit Shmueli
Subject Area
Mathematics, Computers
Format
Hardcover

Dimensions

Item Height
1 in
Item Weight
21.7 Oz
Item Length
9.1 in
Item Width
5.9 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2016-022699
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.312
Table Of Content
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 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
Synopsis
Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools., Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Technology, however, fails to deliver insights with added value if the quality of the information it generates is not assured. Information Quality (InfoQ) is a tool developed by the authors to assess the potential of a dataset to achieve a goal of interest, using data analysis. Whether the information quality of a dataset is sufficient is of practical importance at many stages of the data analytics journey, from the pre-data collection stage to the post-data collection and post-analysis stages. It is also critical to various stakeholders: data collection agencies, analysts, data scientists, and management. This book: Explains how to integrate the notions of goal, data, analysis and utility that are the main building blocks of data analysis within any domain. Presents a framework for integrating domain knowledge with data analysis. Provides a combination of both methodological and practical aspects of data analysis. Discusses issues surrounding the implementation and integration of InfoQ in both academic programmes and business / industrial projects. Showcases numerous case studies in a variety of application areas such as education, healthcare, official statistics, risk management and marketing surveys. Presents a review of software tools from the InfoQ perspective along with example datasets on an accompanying website. This book will be beneficial for researchers in academia and in industry, analysts, consultants, and agencies that collect and analyse data as well as undergraduate and postgraduate courses involving data analysis.
LC Classification Number
QA276.K4427 2016

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