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smart semantics and metadata-driven data integrationThe expressor data integration system addresses crucial pain points in current solutions by simplifying design and reuse via a metadata-driven, repository-enabled system. At the core of expressor is smart semantics, which provides a semantic foundation that enables efficient reuse of business rules and true, collaborative team development so organizations can significantly shorten development time and effort. This allows customers to build flexible applications with rationalized business terms and reusable rules.
Integration design is decoupled from the physical environment, and multiple target-centric business rules can be defined for each business definition. This unique approach to data mapping and definition is to semantically correlate data fields—from multiple, diverse external information sources—only once to a set of common names. With smart semantics, organizations can virtualize the external data, providing a consistent, streamlined data integration interface. For example,
Rules are 100% reusable across projects, and expressor ships with built-in business terms and definitions for a wide range of data domains across key industries. These out-of-the-box definitions provide an unprecedented level of automation. The smart semantics approach also includes intelligent business definition learning functionality to facilitate the semantic rationalization process for business terms not yet known to the system. These common definitions are exclusively used within expressor projects, thereby enabling companies to apply consistent business terminology and practices—not only within a single project but across the organization’s entire data integration landscape. As the foundation for reuse of business rules and many other project artifacts, smart semantics allows customers to improve project efficiency and quality while accelerating ROI. Discover additional reasons why you should deploy expressor by reading further about its breakthrough scalability and its innovative approach to total lifecycle management. |






