Melissa Extends Informatics Capabilities

Melissa, a provider of global contact data quality and identity verification solutions, has extended the semantics capabilities of its informatics division into enterprise business arenas. The move taps into context-based reasoning to uncover and transform data connections more efficiently than traditional relational data methods. Proven in clinical data environments such as pharmacology and life sciences, Melissa's semantic technologies can help drive improvements in enterprise data applications such as risk management, identity verification, and GDPR (General Data Protection Regulation) compliance.

Semantic technology is optimized for data management environments rich in variables, diversity, and complexity. Because semantic processes consider context clues to evaluate structured or unstructured data, a single request can efficiently query numerous disparate, previously siloed data sources, or inconsistent data in the same database. The enterprise can capture more meaningful insight into customer needs and behavior, gaining a competitive advantage through data-driven operations.

Combining machine reasoning with Melissa’s data quality tools and services provides greater interoperability among complex data integrations, said Bud Walker, vice president, enterprise sales and strategy, Melissa. It's an intelligent approach to clean, connect, and harmonize multiple sources to harness the entire data lifecycle, he added.

More information is available on Melissa’s informatics for the enterprise.