Data Management
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uSlness
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ec Ive
success
Everyone knows that data volumes are increasing at enormous rates but is
knowledge of the data, and more importantly knowledge within the business,
increasing with it? Jason Tiret examines the best practices on how data models
are used to improve service enterprise data management.
IN TODAY'S WORLD OF DATA
The latest technological trends
Both web services and service-oriented
architecture (SOA) are two hot technologies
that are currently on most business's radars.
SOA enables the integration and reuse of data
throughout the enterprise, which can, amongst
other thIngs, speed up processes and increase
data sharing across the organisation.This can
often improve efficiency across various business
areas such as customer service and technical
support call centres or sales, order management
and accounting, A big component of SOA and
web services is XML and XML schemas that
represent the data and structure in a message.
These, like everything else representing the
structure of data, need to be governed.
Many organisations are actually using data
models as the origin of XML schemas.This
makes sense because they can use the same set
of standards that are applied to physical data
level of the data it represents. the use of the
data on an enterprise or departmental level,
the last time the represented data was checked
for accuracy, or the last time the structure was
changed in the database. Most organisations
are just happy that an entity has a definition at
all. Nevertheless, this infor"mation needs to be
incorporated into the models, otherwise it will
just become yet another outdated artifact that
IT needs to manage, with no tangible benefits to
demonstrate to management.
business feel if you told them 85 per cent of
your data was unusable and just taking up disk
space?
Data governance entails many things but the
basic premise is a set of standards or guidelines
for managing data on an enterprise-wide scale
with the goal of making it more useful, more
secure and more valuable - i.