This professional reference guide explains not only the importance of data management and how it can be managed, but the issues facing those involved, and how to address them. Distinctively, this book is not based on a particular propriety system or software, but is business focused, providing the knowledge and techniques required to successfully implement a data management function. 'Principles of Data Management: Facilitating Information Sharing' covers practical and effective approaches to managing corporate data which will improve communication between users and information systems developers, and support an integrated and cost effective approach to data and information resource development. This book explains how to plan and implement a data management function and critically, how to understand and improve the relationships between data and database administrators, systems development teams and business users. Ultimately users become able to obtain the information they need, confident that it is based on correct underlying data. 'Principles of Data Management: Facilitating Information Sharing' also discusses the technical issues that affect data management professionals.
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On the whole an interesting and thought-provoking book. --Ariadne, Online Magazine
About the Author
Keith Gordon is an independent consultant and lecturer specializing in data management and business analysis. A professional soldier for 38 years he has held technical, educational and managerial appointments including serving as head of the army's data management team.
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Most Helpful Customer Reviews
2 of 2 people found the following review helpful
By David C. Hay
Format:Paperback
In this book, Keith Gordon has done an excellent job of laying out the full set of dimensions to be addressed for the effective management of an organization's information. He begins with the assertion that information must be recognized as a key corporate resource, along with money, people, buildings, and so forth. He then describes both the technological and business dimensions of that management.
This book is a layman's guide to the components of information management. It does begin with a survey defining a bit of history to explain exactly what a database is, and what technologies are behind it. Quickly, though, Mr. Gordon moves into the area of data modeling, which is a way of representing the structure of an enterprise's data so that it can be discussed with business people. This is ultimately the language that should be used to communicate between the business users of information and the technologists who will provide it.
In a world where the data modeling field tends to be dominated by overly complex notations that are fundamentally inaccessible to the public, Mr Gordon makes effective use of the notation created by Harry Ellis and Richard Barker to present clearly the things of significance to an organization. This notation is without the ornamentation in many notations that is frequently more confusing than illuminating. Again, in Mr. Gordon's view, the objective of modeling is to engage the business in the management of the company's information-which requires them to understand its basic components. This requires attention to the aesthetics and clarity of presentation.
In other words, the important thing about this book is that Mr. Gordon uses data models (and in particular corporate data models) to present the principles of data management. This including roles, responsibilities, and benefits of data management. He includes a section on data quality-what it is, issues and causes of poor data quality, the dimensions of poor data quality, and, most significantly, how to improve it. He also discusses data accessibility--security (allowing the right people and only the right people access), integrity (making sure the right people cannot damage the data), and recovery from loss of data.
I strongly recommend this book to someone wanting to understand the connection between the management of information and the kinds of technology that must be employed to do so.
This book is a layman's guide to the components of information management. It does begin with a survey defining a bit of history to explain exactly what a database is, and what technologies are behind it. Quickly, though, Mr. Gordon moves into the area of data modeling, which is a way of representing the structure of an enterprise's data so that it can be discussed with business people. This is ultimately the language that should be used to communicate between the business users of information and the technologists who will provide it.
In a world where the data modeling field tends to be dominated by overly complex notations that are fundamentally inaccessible to the public, Mr Gordon makes effective use of the notation created by Harry Ellis and Richard Barker to present clearly the things of significance to an organization. This notation is without the ornamentation in many notations that is frequently more confusing than illuminating. Again, in Mr. Gordon's view, the objective of modeling is to engage the business in the management of the company's information-which requires them to understand its basic components. This requires attention to the aesthetics and clarity of presentation.
In other words, the important thing about this book is that Mr. Gordon uses data models (and in particular corporate data models) to present the principles of data management. This including roles, responsibilities, and benefits of data management. He includes a section on data quality-what it is, issues and causes of poor data quality, the dimensions of poor data quality, and, most significantly, how to improve it. He also discusses data accessibility--security (allowing the right people and only the right people access), integrity (making sure the right people cannot damage the data), and recovery from loss of data.
I strongly recommend this book to someone wanting to understand the connection between the management of information and the kinds of technology that must be employed to do so.
2 of 2 people found the following review helpful
By DanRiaz
Format:Kindle Edition
As a Data Management professional I found this book to be great reading and authored in a style which was pleasantly easy for any one who's not data savvy to be able to understand as well.
If you're just starting out in Data Management or even if you're a seasoned practitioner, you will find this book a good source for understanding or confirming data strategy and data management for your organisation.
Highly recommended.
If you're just starting out in Data Management or even if you're a seasoned practitioner, you will find this book a good source for understanding or confirming data strategy and data management for your organisation.
Highly recommended.
Most Helpful Customer Reviews on Amazon.com (beta)
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2 of 2 people found the following review helpful
5.0 out of 5 stars
A proper guidebook
20 Jan 2012
By David C. Hay
- Published on Amazon.com
Format:Paperback
In this book, Keith Gordon has done an excellent job of laying out the full set of dimensions to be addressed for the effective management of an organization's information. He begins with the assertion that information must be recognized as a key corporate resource, along with money, people, buildings, and so forth. He then describes both the technological and business dimensions of that management.
This book is a layman's guide to the components of information management. It does begin with a survey defining a bit of history to explain exactly what a database is, and what technologies are behind it. Quickly, though, Mr. Gordon moves into the area of data modeling, which is a way of representing the structure of an enterprise's data so that it can be discussed with business people. This is ultimately the language that should be used to communicate between the business users of information and the technologists who will provide it.
In a world where the data modeling field tends to be dominated by overly complex notations that are fundamentally inaccessible to the public, Mr Gordon makes effective use of the notation created by Harry Ellis and Richard Barker to present clearly the things of significance to an organization. This notation is without the ornamentation in many notations that is frequently more confusing than illuminating. Again, in Mr. Gordon's view, the objective of modeling is to engage the business in the management of the company's information-which requires them to understand its basic components. This requires attention to the aesthetics and clarity of presentation.
In other words, the important thing about this book is that Mr. Gordon uses data models (and in particular corporate data models) to present the principles of data management. This including roles, responsibilities, and benefits of data management. He includes a section on data quality-what it is, issues and causes of poor data quality, the dimensions of poor data quality, and, most significantly, how to improve it. He also discusses data accessibility--security (allowing the right people and only the right people access), integrity (making sure the right people cannot damage the data), and recovery from loss of data.
I strongly recommend this book to someone wanting to understand the connection between the management of information and the kinds of technology that must be employed to do so.
This book is a layman's guide to the components of information management. It does begin with a survey defining a bit of history to explain exactly what a database is, and what technologies are behind it. Quickly, though, Mr. Gordon moves into the area of data modeling, which is a way of representing the structure of an enterprise's data so that it can be discussed with business people. This is ultimately the language that should be used to communicate between the business users of information and the technologists who will provide it.
In a world where the data modeling field tends to be dominated by overly complex notations that are fundamentally inaccessible to the public, Mr Gordon makes effective use of the notation created by Harry Ellis and Richard Barker to present clearly the things of significance to an organization. This notation is without the ornamentation in many notations that is frequently more confusing than illuminating. Again, in Mr. Gordon's view, the objective of modeling is to engage the business in the management of the company's information-which requires them to understand its basic components. This requires attention to the aesthetics and clarity of presentation.
In other words, the important thing about this book is that Mr. Gordon uses data models (and in particular corporate data models) to present the principles of data management. This including roles, responsibilities, and benefits of data management. He includes a section on data quality-what it is, issues and causes of poor data quality, the dimensions of poor data quality, and, most significantly, how to improve it. He also discusses data accessibility--security (allowing the right people and only the right people access), integrity (making sure the right people cannot damage the data), and recovery from loss of data.
I strongly recommend this book to someone wanting to understand the connection between the management of information and the kinds of technology that must be employed to do so.
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