Data Quality & Governance for Business Transformation

A practical methodology for measuring and improving data quality within a business enterprise.

Developed over a number of years and placing data at the centre of driving transformational change.
       
The reader will learn of the practical difficulties of dealing with constant change and the methods employed to identify and resolve data corruption resulting from the complex integration of systems, process and people.
      

A non-prescriptive data governance framework is proposed with roles and responsibilities to promote data quality improvement initiatives that can be tailored to differing organisations.  Highlighting the roles and responsibilities necessary to embed data quality as the intrinsic element of any change management programme.

1141688198
Data Quality & Governance for Business Transformation

A practical methodology for measuring and improving data quality within a business enterprise.

Developed over a number of years and placing data at the centre of driving transformational change.
       
The reader will learn of the practical difficulties of dealing with constant change and the methods employed to identify and resolve data corruption resulting from the complex integration of systems, process and people.
      

A non-prescriptive data governance framework is proposed with roles and responsibilities to promote data quality improvement initiatives that can be tailored to differing organisations.  Highlighting the roles and responsibilities necessary to embed data quality as the intrinsic element of any change management programme.

9.5 In Stock
Data Quality & Governance for Business Transformation

Data Quality & Governance for Business Transformation

by Garry Alexander
Data Quality & Governance for Business Transformation

Data Quality & Governance for Business Transformation

by Garry Alexander

eBook

$9.50 

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Overview

A practical methodology for measuring and improving data quality within a business enterprise.

Developed over a number of years and placing data at the centre of driving transformational change.
       
The reader will learn of the practical difficulties of dealing with constant change and the methods employed to identify and resolve data corruption resulting from the complex integration of systems, process and people.
      

A non-prescriptive data governance framework is proposed with roles and responsibilities to promote data quality improvement initiatives that can be tailored to differing organisations.  Highlighting the roles and responsibilities necessary to embed data quality as the intrinsic element of any change management programme.


Product Details

BN ID: 2940166723406
Publisher: Garry Alexander
Publication date: 06/23/2022
Sold by: Draft2Digital
Format: eBook
File size: 5 MB

About the Author

Garry Alexander was educated in Applied Physics at the University of Strathclyde in Glasgow, Scotland.  Following which he studied for a Ph.D. in the dynamics of ship motions to improve their stability in extreme conditions.  He then pursued a career in telecommunications and software development.  Finally, being involved in data quality and management for a multi-national business, and authoring a book on the subject.

Over the past few years, he has become more involved with climate science with a view to reducing individuals’ carbon footprints.

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