What is DataWalk?

DataWalk is a powerful data analysis platform designed for organizations that need to manage and interpret large, siloed data sources. By utilizing advanced graph technology and artificial intelligence, DataWalk enables users to efficiently fuse internal and external datasets, reorganize information around understandable entities, and generate actionable intelligence. The platform supports a range of critical workflows, including anti-fraud, anti-money laundering, entity resolution, and investigative analysis for sectors such as banking, defense, government, law enforcement, and insurance.

With intuitive visual interfaces, users can easily uncover hidden patterns, connections, and crime rings, instantly adapt to complex monitoring scenarios, and create contextual 360-degree profiles of any data element. Its flexible architecture allows for quick integration of new data and self-service modification of data relationships, ensuring organizations remain agile in adapting to evolving requirements and regulations.

Features

Knowledge Graph Technology: Enables intuitive visualization and navigation of complex data relationships.
Entity Resolution: Finds and merges matching records across vast datasets to create master profiles.
Advanced AI Analytics: Automatically detects hidden patterns and connections in large data pools.
Flexible Data Integration: Quickly imports and connects internal and external data sources.
360-Degree Contextual Profiles: Instantly generates comprehensive views of data elements for thorough analysis.
Visual Query Interface: Allows creation of complex analytics queries with little technical expertise.
Supports Multiple Workflows: Tailored capabilities for AML, anti-fraud, KYC, intelligence, and investigations.

Use Cases

Detecting and analyzing crime rings within large financial datasets.
Enhancing anti-money laundering operations by integrating and automating monitoring processes.
Improving KYC compliance by consolidating and contextualizing customer data.
Accelerating investigations for law enforcement by linking disparate evidence and data sources.
Resolving entities and deduplicating records across government and insurance data systems.
Performing intelligence analysis for national security and defense agencies.
Investigating cryptocurrency and financial fraud with comprehensive data integration.