Semantic Integration & The Data Life Cycle
sponsored by Progress

When enterprises adopt a service-oriented architecture (SOA) to improve agility, they are often faced with an implementation and maintenance process plagued by complexity. One of the likely culprits is data integration. More than 80% of organizations amplify this complexity by reconciling physical data-level differences between applications and services with hand-coded point-to-point mappings.

Read this paper to discover an alternative approach to data integration that ensures that not only is data correct and valid based on your business rules, but more importantly provides the means to fully operationalize those rules in a manner that is both intelligible to business and agile across all segments of the change lifecycle.

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