LinkDNA™ — Connect and Unify Your Data Ecosystem

Links records without shared IDs using synthetic identifiers and fuzzy logic

Connect Your Disconnected Data

ANDI's proprietary LinkDNA™ Correlation Engine creates traceable matches across CRMs, ERPs, support tools, and finance systems even without shared IDs. This breakthrough technology solves one of the biggest challenges in business intelligence: connecting data across siloed systems.

Key Capabilities

Fuzzy Matching - Identifies connections between records even with inconsistent naming, formatting, or partial information.

Synthetic Identifiers - Creates unique fingerprints for entities across systems to enable reliable matching.

Confidence Scoring - Every match includes a confidence score so you know how reliable the connection is.

Traceable Logic - See exactly why records were matched, with full transparency into the matching criteria.

Technical Implementation

The LinkDNA™ Correlation Engine uses advanced algorithms and machine learning to connect data across systems:

  • Data normalization services that standardize formats across systems
  • Fuzzy matching algorithms that identify potential connections
  • Record scoring engine that evaluates match quality
  • Confidence-based decision layer that determines when to connect records
  • Continuous learning from user feedback to improve matching accuracy

Real-World Impact

LinkDNA™ solves critical business challenges by connecting previously isolated data:

Customer 360° View

Connect customer records across CRM, support tickets, billing systems, and usage analytics to get a complete picture of customer health, value, and engagement.

Revenue Attribution

Link marketing campaigns, sales activities, and revenue data to accurately attribute revenue to specific channels, campaigns, or initiatives.

Churn Prevention

Identify early warning signs by connecting product usage patterns, support interactions, and billing data to predict and prevent customer churn.