Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Utilizing graph analytics throughout the customer lifecycle can help uncover hidden risks and unveil unexpected opportunities. Conventional Master Data Management (MDM) solutions struggle to accommodate the vast amounts of distributed and diverse data generated from various applications and external sources. The traditional methods of probabilistic matching in MDM are ineffective when dealing with siloed data sources, leading to missed connections and a lack of context, ultimately resulting in poor decision-making and uncapitalized business value. An inadequate MDM solution can have widespread repercussions, negatively impacting both the customer experience and operational efficiency. When there's no immediate access to comprehensive payment patterns, trends, and risks, your team’s ability to make informed decisions swiftly is compromised, compliance expenses increase, and expanding coverage becomes a challenge. If your data remains unintegrated, it creates fragmented customer experiences across different channels, business sectors, and regions. Efforts to engage customers on a personal level often fail, as they rely on incomplete and frequently outdated information, highlighting the urgent need for a more cohesive approach to data management. This lack of a unified data strategy not only hampers customer satisfaction but also stifles business growth opportunities.
Description
For more than ten years, Quantifind’s data analytics platform has empowered governments and Fortune 50 companies to extract valuable insights from a wide variety of public data sources. The platform’s effectiveness lies in its integration of scientific principles with design aesthetics, marrying machine learning advancements with user-friendly, comprehensive web applications and APIs. Currently, Graphyte is instrumental in addressing financial crime risks, boasting accuracy and features that enhance the efficiency of Anti-Money Laundering (AML) investigations by 40% or more. It incorporates diverse data points, including corporate information, law enforcement records, regulatory details, registrations, leaks, Politically Exposed Persons (PEPs), sanctions, enforcement actions, restricted lists, and social media. The technology developed by Quantifind is utilized throughout the investigative workflow, optimizing each phase of the process for better efficiency. Additionally, a robust web application designed with a consumer-grade user experience allows investigators to quickly locate the information they need, significantly streamlining the investigative efforts. This innovative approach not only saves time but also enhances the overall quality of investigations.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
Yes
Apache Spark
Yes
Azure Marketplace
Yes
Google Cloud Anti Money Laundering AI
Yes
Google Cloud Platform
Yes
Hadoop
Yes
Microsoft Azure
Yes
Salesforce
Yes
Integrations
Amazon Web Services (AWS)
No
Apache Spark
No
Azure Marketplace
No
Google Cloud Anti Money Laundering AI
No
Google Cloud Platform
No
Hadoop
No
Microsoft Azure
No
Salesforce
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
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
Quantexa
Founded
2016
Country
United Kingdom
Website
www.quantexa.com
Vendor Details
Company Name
Quantifind
Founded
2009
Country
United States
Website
www.quantifind.com
Product Features
AML
Behavioral Analytics
No
Case Management
No
Compliance Reporting
No
Identity Verification
No
Investigation Management
No
PEP Screening
No
Risk Assessment
No
SARs
No
Transaction Monitoring
No
Watch List
No
Fraud Detection
Access Security Management
No
Check Fraud Monitoring
No
Custom Fraud Parameters
No
For Banking
No
For Crypto
No
For Insurance Industry
No
For eCommerce
No
Internal Fraud Monitoring
No
Investigator Notes
No
Pattern Recognition
No
Transaction Approval
No
Master Data Management
Data Governance
No
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
No
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Investigation Management
Contact Management
No
Data Management
No
Incident Management
No
Reporting & Statistics
No
Subject Profiles
No