real-time entity resolution
Matches and deduplicates customer records across multiple data sources in real-time by identifying identical or similar entities. Uses probabilistic and deterministic matching algorithms to consolidate fragmented customer identities into single unified records.
unified customer profile creation
Aggregates customer data from multiple sources into a single comprehensive profile with merged attributes and relationships. Consolidates information from different systems while maintaining data lineage and handling conflicts between sources.
customer data enrichment
Enhances customer profiles with additional attributes and insights from external data sources or internal calculations. Adds derived fields, behavioral scores, and enriched attributes to unified profiles.
batch and real-time data processing
Supports both batch processing for historical data and real-time streaming for immediate updates. Enables flexible data processing modes depending on use case and latency requirements.
customer segmentation and audience creation
Enables creation of customer segments and audiences based on unified profile attributes and behaviors. Supports dynamic segmentation rules that update as customer data changes.
data lineage and audit tracking
Tracks the origin and transformation of customer data through the system, showing how records were matched, merged, and enriched. Provides audit trails for compliance and troubleshooting.
low-code data unification configuration
Enables business teams to configure customer data unification workflows without writing code through visual configuration interfaces. Provides pre-built connectors and matching rules that can be customized through UI rather than custom development.
api-first data integration
Provides REST APIs and webhooks for seamless integration with existing martech stacks, CRM systems, and customer platforms. Enables real-time data synchronization and bidirectional communication with external systems.
+6 more capabilities