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Data Resource Simplexity - How Organizations Choose Data Resource Success or Failure (Hardcover)
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Data Resource Simplexity - How Organizations Choose Data Resource Success or Failure (Hardcover)
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Do you fully understand all the data in your organisation's data
resource? Can you readily find and easily access the data you need
to support your business activities? If you find multiple sets of
the same data, can you readily determine which is the most current
and correct? No? Then consider this book essential reading. It will
help you develop a high quality data resource that supports
business needs. The book explains how a data resource goes
disparate, how to stop that trend toward disparity, and how to
develop a high quality, comparate data resource. It explains how to
stop the costly business impacts of disparate data. It explains
both the architectural and the cultural aspects of developing a
comparate data resource. It explains how to manage data as a
critical resource equivalent to the other critical resources of an
organisation - finances, human resource, and real property. Drawing
from his nearly five decades of data management experience, plus
his leveraging of theories, concepts, principles, and techniques
from disciplines as diverse as human dynamics, mathematics,
physics, agriculture, chemistry, and biology, Michael Brackett
shows how you can transform your organisation's data resource into
a trusted invaluable companion for both business and data
management professionals. Chapter 1 reviews the trend toward
rampant data resource disparity that exists in most public and
private sector organisations today - why the data resource becomes
complex. Chapter 2 introduces the basic concepts of planned data
resource comparity - how to make the data resource elegant and
simple. Chapter 3 presents the concepts, principles, and techniques
of a Common Data Architecture within which all data in the
organisation are understood and managed. Chapters 4 to 8 present
the five architectural aspects of data resource management. Chapter
4 explains the development of formal data names. Chapter 5 explains
the development of comprehensive data definitions. Chapter 6
explains the development of proper data structures. Chapter 7
explains the development of precise data integrity rules. Chapter 8
explains the management of robust data documentation. Chapters 9
through 13 present the five cultural aspects of data resource
management. Chapter 14 presents a summary explaining that
development of a comparate data resource is a cultural choice of
the organisation and the need for a formal data resource management
profession.
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