Information science Data-quality Project Practice Guide / DanetteMcGilvray / Yasushi Kiyama

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Information Science
[Introduction]
Data is more important than ever in business.
AI, including machine learning, is affecting every business, but if the data that AI learns is less reliable in the first place, the output will be less reliable.
Data-based business decisions, such as data-management, are based on the availability of reliable data and information.
Danette McGilvray, the author of this book, has been involved in a data-quality program since 2009.
We have established the "10 Steps" described in this book as a practical methodology for projects that improve data-quality.
We also include many practical examples of the 10 Steps in the second edition, which is the basis for this Japanese edition.
We hope that this book will be used for activities that apply data to business, together with the 『 Data Management Knowledge System Guide 』, which systematizes knowledge about data-management, and the 『 Data Stewardship 』, which summarizes activities that improve data-quality.
We hope that this book will be used for activities that apply data to business, together with the Guide to Business Data Management Knowledge System, which systematizes knowledge about data-management, and the Business Impact to gain cooperation and deepen understanding of the importance of data-management and projects that improve data-quality.
We hope that this book will be used for activities that apply data to business, together with the Guide to Business Data Management Knowledge System, which systematizes knowledge about data-management.
Chapter 2 Actual Data-Quality
Chapter 3 Key Concepts
Chapter 4 10-Step Process
Step 1 Determine Business Needs and Approach
Step 2 Analyze Information Environment
Step 3 Assess Data Quality
Step 4 Assess Business Impact
Step 5 Identify Root Causes
Step 7 Determine Data Errors
Step 8 Fix Current Data Errors
Step 9 Monitor Controls
Step 10 Communicate, manage and involve people throughout
Chapter 5 Assemble Projects
Chapter 6 Other Techniques and Tools
Chapter 7 End with a word.