Announcing Reltio Customer 360 capability to segment based on interactions and behavior, partner integrations, native-multifactor authentication (MFA), and the general availability of Reltio’s AI-powered Flexible Entity Resolution Networks (FERN)
Reltio, the leader in data unification and management, today launched its latest product release featuring capabilities to empower data leaders, by further strengthening its best-of-breed data unification offerings for multidomain MDM and customer 360 profiles. This includes dynamic segmentation using behavioral data and general availability of pre-trained LLM models for out-of-the-box individual and organization data matching.
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“It takes extensive data stewardship and IT effort to build unique, trusted records. Data teams create, weight, and fine-tune match rules across millions of records and thousands of matching ‘edge cases’, for data points like nicknames, abbreviated addresses, and more”
Today’s demand for improved customer experiences can only be met if companies start with trusted, unified data. With Reltio’s data unification and management capabilities, organizations can achieve a rich understanding of each customer, including its behavioral data, to deliver more personalized and relevant experiences. Reltio mobilizes trusted customer data in milliseconds to improve customer engagement, increase the effectiveness of marketing programs, and drive higher customer acquisition and retention rates, all while keeping data secure.
The most-anticipated updates in this latest product release include the following:
- Enhanced dynamic segmentation. With this release, Reltio Customer 360 can create and activate customer segments based on interactions, transactions, and behaviors such as purchases, claims, call center interaction, and more. With this, Reltio is enabling dynamic segmentation on the unified trusted customer data, creating high-quality, actionable segments to improve customer experience, retention, and growth.
- Strengthened enterprise security for core data. In addition to Single Sign On (SSO) and client-credential verification, Reltio now offers native multi-factor authentication (MFA) to enhance security. The self-service Reltio Trust Center also eases compliance reporting.
- General availability of Reltio’s FERN (Flexible Entity Resolution Networks), an AI-powered customer-data matching engine built with pre-trained large language models (LLMs). FERN eliminates the hundreds of person-hours other ML-based matching approaches require to define, configure, and iterate match rules because its entity resolution works out of the box — no additional training required. Also, thanks to users, LLMs being trained with vast amounts of text data, users can match customer data using semantic understanding and uncover thousands of matches that previous rule-based matching methods could not find. Designed with privacy in mind, FERN is a secure, private solution where customer data never leaves the Reltio-managed tenant.
- Expanded integration with other data-governance products to simplify the discovery of trusted data assets and the development of data products for enterprise-wide consumers. The new integration with Microsoft Purview Data Governance along with the recent launch of integration with Collibra’s data catalog make it easier for customers to manage their metadata centrally with no additional effort or costly custom-built integrations and manual data maintenance. Customers can save hundreds of thousands of dollars and months of person-hours by avoiding custom integration projects.
“It takes extensive data stewardship and IT effort to build unique, trusted records. Data teams create, weight, and fine-tune match rules across millions of records and thousands of matching ‘edge cases’, for data points like nicknames, abbreviated addresses, and more,” said Venki Subramanian, Senior Vice President of Product Management at Reltio. “We’ve tapped into the power of AI, specifically Large Language Models (LLMs), to streamline and simplify that process — along with improving accuracy — to further ensure data leaders are fully empowered to provide high-quality data at the speed of business through our AI-driven platform.”
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