AI-powered Entity Resolution

Probabilistic Matching

Enrichment

Description

Entity resolution creates a single source of truth for a company's understanding of their customers by linking and consolidating customer data from various sources.

Entity resolution is the process of identifying and linking multiple records or data points that refer to the same real-world entity, such as a customer. At its core, it's about ensuring that all the information a company has about a customer is accurate, complete, and up-to-date, regardless of where it resides in their systems.

With entity resolution, businesses can create an accurate 360-degree view of their customers, enabling them to make informed decisions, personalize their interactions, and improve customer experiences. This approach helps to eliminate the potential for duplicate, conflicting, or incomplete information, leading to a more cohesive and accurate view of the customer.

Sample data attributes used to match & link entities: Name, Address, Date of Birth, Gender, Tax ID etc.

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Key Business Outcomes

Key Metrics

Improved Customer Experience: Higher CSAT & NPS scores, Higher Customer Retention rates

Increased Revenue: Higher cross-sell/up-sell opportunities identified, Higher revenue generated per customer

Reduced Operational Costs: Lower effort for manual data entry & resolve customer complaints/ production issues

Improved compliance and risk management: Lower regulatory compliance violations and associated fines

Increase in number of matches identified per day/week/month

Increase in accuracy of matches

Reduction in false positive & negative matches

Improvement in data completeness (i.e. more attributes filled in for each customer record)

Reduction in time required for manual review and resolution of matches

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