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A recent study by IT analyst firm IDC estimates that the average company has
49 applications in 14 different databases that need to be integrated, and typically
has no more than 20 percent of its customer data residing in any one location.
IDC also reports that over the next three years the world's data will increase
six fold annually.
At most companies, the number of systems continues to grow, not shrink, which
is exacerbating the problem of data proliferation. Most business leaders agree
that data is a critical strategic asset, yet effective management of information
has remained elusive. The core of the problem is an inability to easily share
data between systems or make systems work better together.
Too often, companies try to solve their interoperability issues by replacing
their systems, building numerous point-to-point interfaces between them, customizing
them, or trying to scale them to be the single "master" of highly
shared data. These approaches are extremely disruptive and lead to overall brittleness
in system integration.
By properly employing a service-oriented architecture (SOA), enterprises can
leverage their existing systems, while largely leaving them alone, and create
a new integration solution for more effective information sharing across disparate
applications. A well-designed SOA enables a company to create a consistent,
accurate and complete view of its most important data, which can enhance data
quality management, improve compliance with internal and government regulations,
and provide performance and agility gains.
Moreover, since services run on their own layer of infrastructure (an enterprise
service bus or ESB), SOA implementations are easier and more cost effective
than solutions that involve more invasive "rip and replace," point-to-point
integration, or customization strategies
Even when using an SOA-based approach, the ultimate goal of strategic information
management cannot be fully achieved unless specific care is taken to understand
and manage the underlying data as a strategic asset. Unless special attention
is paid to shared data, SOAs run the risk of failure, because the proliferation
of "bad" data can actually lower the overall quality of a company's
most critical information.
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