Corporations currently rely on costly manual code generation and point-to-point translation scripts for data integration. However, by applying semantics to corporate data, a reliable platform for managing and integrating data is achieved. Having a clear understanding of the information embedded in data eliminates the inefficiency and inflexibility of dealing directly with physical data.

Semantic Information Management solves data management, data integration, and information quality problems that cut across and equally impact a wide range of vertical industries and an assortment of projects ranging from small efforts to enterprise-wide initiatives.

Data-rich vertical industries gain the most from adopting the SIM approach implemented with the Unicorn System. Insurance issues regarding privacy regulations, Federal attempts to track criminals, financial services legal requirements for BASEL II, metadata repository adoption, integration projects, and messaging initiatives all have much to be gained by implementing SIM.

This section highlights the specific ways in which SIM helps customers in a wide range of industries adopt the new approach of SIM to the age-old problem of data inconsistency and reliability. Challenge yourself and your work methodologies by reading further.