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Data Management and Data Description: Routledge Revivals

Autor Richard Williams
en Limba Engleză Paperback – 30 iun 2020
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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Specificații

ISBN-13: 9781138612990
ISBN-10: 1138612995
Pagini: 360
Dimensiuni: 156 x 234 x 23 mm
Greutate: 0.69 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Seria Routledge Revivals

Locul publicării:Oxford, United Kingdom

Cuprins

1. Introduction  2. Data Management and Data Modelling  3. Data Mangement and Data Documentation  4. Data Management Tools  5. Managing Data in an Organisation  6. Data Management Functionality: 1  7. Data Management Functionality: 2  8. Data Management Functionality: 3  9. Data Management in the Business  10. Data Management Issues  11. Data Management and the Future

Descriere

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.