Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Companies that leverage data effectively utilize the Tilores API to establish a cohesive customer profile across all their various source systems. They develop real-time solutions that help mitigate risk, detect fraud, and provide tailored digital experiences, all while avoiding engineering complications. The challenges posed by inconsistent, incomplete, and outdated customer information hinder businesses in their efforts to align, strategize, and report accurately. For organizations to harness their customer data effectively, they must first standardize their schemas and integrate both new and historical data seamlessly. However, even after creating a centralized system with unified customer data, it often necessitates dedicated development efforts to enhance its utility. To streamline this process, it's essential for unified customer data to be synchronized back to the individual source systems of each department, turning every system into a distributed source of truth. This approach empowers businesses to manage risk more efficiently, detect fraud proactively, and enhance customer service. By transforming fragmented and isolated customer data into a comprehensive Customer 360 view, organizations can unlock new insights and drive better decision-making. Ultimately, this unification fosters a deeper understanding of customer behavior, enabling continuous improvement and innovation.
API Access
Has API
No
API Access
Has API
Yes
Integrations
GraphQL
No
HubSpot CRM
No
HubSpot Customer Platform
No
Salesforce
No
Snowflake
No
Integrations
GraphQL
Yes
HubSpot CRM
Yes
HubSpot Customer Platform
Yes
Salesforce
Yes
Snowflake
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$2000/month
Pricing is based on Unified Customer Records (UCRs), which is the ultimate number of customers you have in Tilores, regardless of the number of data records.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
FICO
Founded
1956
Country
United States
Website
www.fico.com/en/products/fico-identity-resolution-engine
Vendor Details
Company Name
Tilores
Founded
2021
Country
Germany
Website
tilores.io