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Data Resource Design - Reality Beyond Illusion (Paperback)
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Data Resource Design - Reality Beyond Illusion (Paperback)
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Are you struggling with the formal design of your organisation's
data resource? Do you find yourself forced into generic data
architectures and universal data models? Do you find yourself
warping the business to fit a purchased application? Do you find
yourself pushed into developing physical databases without formal
logical design? Do you find disparate data throughout the
organisation? If the answer to any of these questions is Yes, then
you need to read Data Resource Design to help guide you through a
formal design process that produces a high quality data resource
within a single common data architecture. Most public and private
sector organisations do not consistently follow a formal data
resource design process that begins with the organisation's
perception of the business world, proceeds through logical data
design, through physical data design, and into implementation. Most
organisations charge ahead with physical database implementation,
physical package implementation, and other brute-force-physical
approaches. The result is a data resource that becomes disparate
and does not fully support the organisation in its business
endeavours. This book describes how to formally design an
organisation's data resource to meet its current and future
business information demand. It builds on "Data Resource
Simplexity", which described how to stop the burgeoning data
disparity, and on "Data Resource Integration", which described how
to understand and resolve an organisation's disparate data
resource. It describes the concepts, principles, and techniques for
building a high quality data resource based on an organisation's
perception of the business world in which they operate. Like "Data
Resource Simplexity" and "Data Resource Integration", Michael
Brackett draws on five decades of data management experience
building and managing data resources, and resolving disparate data
in both public and private sector organisations. He leverages
theories, concepts, principles, and techniques from a wide variety
of disciplines, such as human dynamics, mathematics, physics,
chemistry, philosophy, and biology, and applies them to properly
designing data as a critical resource of an organisation. He shows
how to understand the business environment where an organisation
operates and design a data resource that supports the organisation
in that business environment.
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