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Description
The FICO® Identity Resolution Engine meticulously examines diverse and isolated data repositories to reveal connections among individuals, locations, and incidents that may suggest fraudulent activities and money laundering. Its advanced fuzzy matching algorithms significantly improve detection capabilities, while graph analytics provide real-time visualization of relationships between accounts, applicable both before and after transactions are recorded. By leveraging various data points within an application, it can associate them with other apps and accounts, even when they are indirectly connected. Continuous analysis of accounts is automated based on their risk assessment, allowing for the discovery of connections that may only become evident after transactions occur. Furthermore, it proactively identifies and ranks organized fraud and criminal behavior through relationship-focused predictive analytics. The system is capable of conducting federated searches on unrefined data and executing complex link analysis, employing advanced querying tools alongside visual link charts to enhance understanding of the data landscape. In this way, the FICO® Identity Resolution Engine not only aids in detection but also supports ongoing investigations into fraudulent activities.
Description
Senzing® entity resolution API software provides the most advanced, affordable, and easy-to-use data matching and relationship detection capabilities available. With Senzing software, you can automatically resolve records about people, organizations and their relationships in real time as new data is received.
The highly accurate and complete views Senzing software delivers allow you to reduce costs and enable new revenue opportunities. Senzing provides a set of libraries that that can be deployed on premises or in the cloud, in a variety of ways, depending on your architecture and environment requirements. Data remains in your ecosystem and never flows to Senzing, Inc.
Minimal data preparation is required when and no tuning, training or entity resolution experts are needed. A free proof of concept can be completed in about six hours on AWS or bare metal. You can try the Senzing API on up to 100K records for free.
API Access
Has API
API Access
Has API
Integrations
AWS CloudFormation
Amazon RDS
Amazon Simple Queue Service (SQS)
Apache Kafka
Docker
Elasticsearch
Google Cloud Platform
IBM Db2
MariaDB
Microsoft Azure
Integrations
AWS CloudFormation
Amazon RDS
Amazon Simple Queue Service (SQS)
Apache Kafka
Docker
Elasticsearch
Google Cloud Platform
IBM Db2
MariaDB
Microsoft Azure
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
FICO
Founded
1956
Country
United States
Website
www.fico.com/en/products/fico-identity-resolution-engine
Vendor Details
Company Name
Senzing
Founded
2016
Country
United States
Website
senzing.com
Product Features
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization