Data Ladder Entity Resolution Software
Identity resolution software
Patient identity resolution software
Health care software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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- Public sector and nonprofit organizations
- Professional services (engineering, legal, consulting, etc.)
- Healthcare and life sciences
What is Data Ladder Entity Resolution Software
Data Ladder Entity Resolution Software is a data matching and entity resolution product used to identify, link, and deduplicate records that refer to the same real-world person, organization, or entity across systems. It is typically used by data management teams and analytics/operations groups to improve data quality for downstream reporting, CRM, and operational workflows, including healthcare identity use cases. The product focuses on configurable matching rules, survivorship/merge logic, and review workflows to create a consolidated “golden record” from disparate sources.
Configurable matching and rules
The product supports deterministic and fuzzy matching approaches that can be tuned to different data quality conditions. Users can configure match rules, weights, and thresholds to reflect business definitions of identity. This flexibility is useful when identifiers are incomplete or inconsistent across source systems. It also helps teams adapt matching logic as data sources change.
Deduplication and survivorship controls
Entity resolution includes merge and survivorship capabilities to determine which attributes persist in the mastered record. This supports standardization of fields (for example, names, addresses, and contact details) and reduces duplicate records. Clear survivorship rules can improve consistency for downstream applications and analytics. It is relevant for regulated environments where traceability of merges matters.
Data quality workflow support
The product is commonly positioned as part of a broader data quality and governance workflow rather than only a marketing-focused identity graph. It can support human review/exception handling for uncertain matches, which is important when false positives carry operational risk. This makes it applicable to operational master data management scenarios. It can be used across industries, including healthcare, where identity accuracy affects care and billing processes.
Not a full CDP
Compared with platforms in the broader customer data and activation space, this product is primarily focused on matching and mastering rather than omnichannel audience activation. Organizations may still need separate tooling for event collection, consent management, segmentation, and downstream marketing activation. As a result, it typically fits into a data management stack rather than replacing it. Integration planning is often required to operationalize resolved identities.
Implementation requires data expertise
Effective entity resolution depends on careful rule design, threshold tuning, and data profiling. Teams without strong data stewardship or data engineering support may struggle to reach acceptable precision/recall quickly. Ongoing monitoring is usually needed as new sources and formats are added. This can increase time-to-value compared with more prescriptive, packaged solutions.
Healthcare-specific features unclear
While the product can be used for healthcare identity matching, it is not always clear that it includes healthcare-specific capabilities such as out-of-the-box support for common patient identity standards, EHR connectors, or specialized patient matching governance. Healthcare organizations may need to configure domain-specific rules and workflows themselves. Additional validation may be required to ensure alignment with internal patient safety and compliance requirements. Buyers should confirm any certifications, audit features, and deployment constraints needed for protected health information.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| DataMatch (Enterprise) | Quote-based — contact sales for pricing | Enterprise-grade cleansing and fuzzy matching for millions of records; built-in domain-specific libraries for name verification and standardization; free trial download available. |
| DataMatch Enterprise + API | Quote-based — contact sales for pricing | CASS-certified address matching (DPV & LACSLink), address standardization, API access for automated matching. |
| DataMatch Enterprise + Address Verification | Quote-based — contact sales for pricing | Real-time fuzzy/intelligent search, address verification and transformations, automated match/deduplication via API. |
| Match (product) | Quote-based — contact sales for pricing | Product data matching and semantic technology for product categorization and extraction. |
Notes: The vendor site indicates pricing is a fixed (not usage-based) licensing model and that detailed costs require contacting sales or requesting a quote. A fully-functional trial download (no credit card required) is offered.
Seller details
Data Ladder, Inc.
Unsure
Private
https://dataladder.com/
https://x.com/dataladder
https://www.linkedin.com/company/data-ladder/
