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Data Management and Data Description

Richard Williams
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A01=Richard Williams
advanced data resource metrics
Author_Richard Williams
Business Process
Case Tool
Category=JHB
Computer Aided Software Engineering
Configuration Management
Corporate Data
corporate data architecture
Corporate Data Model
Data Administration
Data Charter
Data Descriptions
Data Dictionary
Data Management Environment
Data Management Function
Data Management Initiative
Data Management Personnel
Data Model
Data Resource
Data Resource Management
data valuation
Dictionary Products
Distributed Database Environment
Dm
DP Department
DP Director
EDIFACT integration
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Human Data Management Resource
information systems strategy
Meta Data
meta modelling
organisational data governance
Version Control

Product details

  • ISBN 9781138612990
  • Weight: 690g
  • Dimensions: 156 x 234mm
  • Publication Date: 30 Jun 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

Published in 1992. The author sets out the main issues in Data Management, from the first principles of meta modelling and data description through the comprehensive management exploitation, re-use, valuation, extension and enhancement of data as a valuable organizational resource.

Using his recent in-depth experience of a major trans-European project, he highlights data value metrics and provides examples of extended data analysis to assist readers to produce corporate data architectures. The book considers how the techniques of data management can be applied in the wider community of business, institutional and organizational settings and considers how new types of data (from the EDIFACT world) can be integrated into the existing data management environments of large data processing functions.

This wide-ranging text considers existing work in the field of data resource management and extends the concepts of data resource valuation. References are made to new aspects of metrics for data value and how they can be applied.

It will interest strategic business planners, information systems, and DP managers and executives, data-management personnel and data analysts, and academics involved in MSc and BSc courses on Dara Analysis, CASE repositories and structured methods.

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