Life sciences organizations need a unified, 360-degree view of consumers to provide seamless, personalized experiences. However, data silos, regulatory limits, and complex engagement methods often block this visibility. Combining data across systems creates a single, reliable view that allows targeted engagement, consistent omnichannel experiences, and compliance with privacy laws like HIPAA, GDPR, and CCPA.
Verato Referential Matching®, our patented approach to referential matching, delivers high data-integrity accuracy, which is critical in life sciences, where data consistency can impact trial outcomes and patient safety. Knowing who is who, at an identified person and organization level, has become table stakes in life sciences, and unlike traditional MDM programs, Verato is specifically designed to master identified data.
Verato’s solutions are built to scale and adapt to new systems, data sources, and regulatory requirements, making them ideal for the life sciences. By supporting modern APIs and a pub-sub framework, Verato seamlessly integrates with EHRs, CTMS, CRM, and other systems, enhancing operational efficiency.
Overcome fragmentation in patient data to enable seamless, data-driven engagement. Verato helps unify digital interactions, prescription data, support programs, and marketing records, enabling personalized outreach. Companies can segment and personalize outreach based on accurate demographic, behavioral, and clinical data, leading to more effective digital marketing, adherence programs, and product recommendations to support strategic initiatives, including direct-to-consumer (DTC).
Direct-to-consumer programs in life sciences start with mastering and enriching person and provider (HCP and HCO) data at both individual and organizational levels, with clinical-grade accuracy. Verato MDM Cloud™ accurately unifies, enriches, and masters person and provider data, creating a strong foundation for building successful DTC programs.
Verato’s experience, accelerators, and deployment approach enable quick implementation, usually within weeks rather than months or years – helping organizations solve their data challenges and achieve their goals swiftly. Ongoing business value is secured through the consistent delivery of high-quality data, automating manual data remediation processes, and the platform’s low operational and administrative demands after deployment.