Reltio Customer 360 Data Product Pioneers New Era of AI-powered Data Unification

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Reltio, a leading data unification and management company, today introduced its Reltio Customer 360 Data Product, the first in its series of 360 Data Products. This is a next-generation cloud solution that provides a comprehensive view of customer data – in milliseconds. For users, the new solution provides a significant leap toward future-proofing their enterprises against the evolving data challenges of the digital age.
With the Reltio Customer 360 Data Product, users will now have a complete view of the behavioral data, interactions, derived insights, and segments needed to enhance the customer experience and power business outcomes. Without a trusted, accurate, and comprehensive view of customers across the enterprise, companies lose revenue opportunities and face reputational risks. This is especially problematic for operational use cases that serve multiple teams and organizational functions where different technologies are needed to support various groups, adding to the complexity of enterprise architecture. The result is fragmented data that is not trustworthy nor comprehensive, adversely impacting customer retention, conversion rates, and profitability. The Reltio Customer 360 Data Product uniquely addresses the pain points data teams experience in securing a unified customer view by streamlining how organizations unify, enrich, and mobilize customer information across the enterprise.
Also Read: OneTrust Powers Privacy-First, Personalized Experiences with Adobe Real-Time Customer Data Platform
When compared with traditional customer data platforms, Reltio Customer 360 Data Product provides a variety of important AI-fueled advancements:
- Enterprise-wide View: Provides a comprehensive view across multiple first-party and third-party sources for domains, including customer, product, supplier, location, among others.
- Groundbreaking Approach to Entity Resolution: Reltio’s Flexible Entity Resolution Networks (FERN) for rule-free matching takes automation in data unification to the next level. Using LLM-powered pre-trained ML models, this approach to entity resolution enables rule-free matching with high match accuracy across industries and with minimal effort. FERN automatically suggests matches out-of-the-box with higher accuracy. The pre-trained models incorporate zero-shot learning, eliminating model training, boosting data team productivity, and shortening implementation time by eliminating the hundreds of person-hours previously required to define, configure, and iterate match rules.
- Real-Time Operations: Mobilizes continuously curated customer profiles in milliseconds and at scale across downstream systems with prebuilt connectors and integrations.
- Streamlined Data Interoperability: Helps accelerate enterprise-wide business initiatives and facilitates collaboration with business stakeholders through secure, reusable, high-quality data assets.
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