Data Quality Techniques by Daniel Myers - 9781398628007
Data Quality TechniquesStrategies for Continuous Data Improvement
Author(s): Daniel Myers
Format: Paperback
Publisher: Kogan Page Ltd, United Kingdom
Imprint: Kogan Page Ltd
ISBN-13: 9781398628007, 978-1398628007
Synopsis
Equip yourself with proven techniques to turn poor-quality data from a costly liability into a measurable advantage.
Data Quality Techniques is a hands-on guide for mid-career data professionals who need to transform data into a reliable, strategic asset. Designed around the Conformed Dimensions of Data Quality framework, this book shows how to define and measure data quality and communicate expectations in ways that drive real business impact.
With clear definitions and actionable tools, you'll learn how to:
- Improve data consistency and accuracy
- Uncover hidden data quality issues
- Apply data governance principles to data quality projects
- Anticipate the role of AI in shaping the future of data quality
Packed with worked examples, Data Qus
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Data Quality Techniques by Daniel Myers - 9781398628007
Data Quality TechniquesStrategies for Continuous Data Improvement
Author(s): Daniel Myers
Format: Paperback
Publisher: Kogan Page Ltd, United Kingdom
Imprint: Kogan Page Ltd
ISBN-13: 9781398628007, 978-1398628007
Synopsis
Equip yourself with proven techniques to turn poor-quality data from a costly liability into a measurable advantage.
Data Quality Techniques is a hands-on guide for mid-career data professionals who need to transform data into a reliable, strategic asset. Designed around the Conformed Dimensions of Data Quality framework, this book shows how to define and measure data quality and communicate expectations in ways that drive real business impact.
With clear definitions and actionable tools, you'll learn how to:
- Improve data consistency and accuracy
- Uncover hidden data quality issues
- Apply data governance principles to data quality projects
- Anticipate the role of AI in shaping the future of data quality
Packed with worked examples, Data Qus
Price now:
From
ÂŁ31.88
To
ÂŁ37.96
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Product Description
Data Quality TechniquesStrategies for Continuous Data Improvement
Author(s): Daniel Myers
Format: Paperback
Publisher: Kogan Page Ltd, United Kingdom
Imprint: Kogan Page Ltd
ISBN-13: 9781398628007, 978-1398628007
Synopsis
Equip yourself with proven techniques to turn poor-quality data from a costly liability into a measurable advantage.
Data Quality Techniques is a hands-on guide for mid-career data professionals who need to transform data into a reliable, strategic asset. Designed around the Conformed Dimensions of Data Quality framework, this book shows how to define and measure data quality and communicate expectations in ways that drive real business impact.
With clear definitions and actionable tools, you'll learn how to:
- Improve data consistency and accuracy
- Uncover hidden data quality issues
- Apply data governance principles to data quality projects
- Anticipate the role of AI in shaping the future of data quality
Packed with worked examples, Data Qus
Product Specifications
General | |
|---|---|
format | trade paperback |
Language | english |
type | textbook |
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