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April 16, 2018

Melissa Extends Informatics Capabilities to Its Slate of Active Data Quality Tools and Services

RANCHO SANTA MARGARITA, Calif., April 16, 2018 — Melissa, a leading provider of global contact data quality and identity verification solutions, today 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 are poised to drive improvements in a broad range of 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. Melissa will feature its comprehensive data quality tools and services including semantic capabilities at Enterprise Data World, booth 503, #EDW18, April 22-25, 2018, at the Sheraton Hotel and Marina in San Diego.

“Marrying machine reasoning with our proven 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 way to clean, connect, and harmonize multiple sources to harness the entire data lifecycle – revealing deeper connections and enabling stronger long-term customer relationships.”

Melissa provides full spectrum data quality solutions to profile, cleanse, verify, enrich, match/dedupe, and monitor global contact data. Full integration with SQL Server Integration Services (SSIS) helps to leverage enterprise investments in Microsoft technologies while maintaining consistent, accurate customer data used in custom applications, ETL, databases, websites, and enterprise ERP systems.

Click here for more insight on informatics for the enterprise or to access a free trial. To connect with members of Melissa’s informatics or global intelligence team, visit www.melissa.com or call 1-800-MELISSA.

About Melissa 

Since 1985, Melissa has specialized in global intelligence solutions to help organizations unlock accurate data for a more compelling customer view. More than 10,000 clients worldwide in arenas such as retail, education, healthcare, insurance, finance, and government, rely on Melissa for full spectrum data quality and ID verification software, including data matching, validation, and enhancement services to gain critical insight and drive meaningful customer relationships. For more information or free product trials, visit www.Melissa.com or call 1-800-MELISSA (635-4772).

About Melissa Informatics

Melissa Informatics extends the capabilities of Melissa’s global intelligence software and services to support world leaders in life sciences, biotechnology, pharmaceutical, and medical industries by harnessing the entire data lifecycle for business, pharmaceutical and clinical data. Our software and services bring data quality and machine reasoning together for insight and discovery by intelligently cleaning, connecting, and harmonizing multiple sources to offer interoperable data. Melissa Informatics reduces time and cost to benefit from clean, richly connected data. Revealing deeper data relationships from complex, dynamic data through machine reasoning operations, Melissa Informatics ensures the most reliable information in mission critical financial services, healthcare, and life science informatics. For more information or free product trials, visitwww.Melissa.com/informatics or call 1-800-MELISSA (635-4772).


Source: Melissa

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