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Principles of Data Management: Facilitating Information Sharing
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.
* Data and the enterprise and corporate data modelling.
* Database development: databases design, development and modelling.
* Data management defined: exploration of problems faced in data management, the responsibilities of a data manager and the subordinate roles or data administration, database administration and repository administration.
* Data definition and naming conventions: key 'standards' used and their underlying principles.
* Metadata: 'data about data'.
* Data quality: the causes of poor quality data and techniques for improving it including procedural and cultural changes.
* Data accessibility: data security, integrity, recovery and crisis management.
* Repository and database administration: the roles and responsibilities of repository and database administrators, and the management and control of software.
* The management of data management: what skills do data managers require? Where in the organizational hierarchy should the data management function be placed?
* Industry trends and their effects on data management: including the recent developments in SQL, the use of software application packages, distributed data, data warehousing and data mining, and object-orientation.
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