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What is Quantexa?

Leveraging graph analytics during the entirety of the customer journey can reveal concealed risks and highlight unforeseen opportunities. Traditional Master Data Management (MDM) systems often find it difficult to handle the extensive and varied data produced by numerous applications and external entities. The outdated techniques for probabilistic matching employed in MDM fall short when confronted with isolated data sources, which results in overlooked connections and insufficient context, ultimately impairing decision-making and leaving business potential untapped. An ineffective MDM framework can lead to far-reaching consequences, detrimentally affecting both customer interactions and operational productivity. Without prompt access to thorough insights regarding payment behaviors, emerging trends, and potential risks, your team's capacity to make quick, informed choices is hindered, leading to increased compliance costs and challenges in broadening your reach. When data is not integrated efficiently, it fosters disjointed customer experiences across various channels, sectors, and regions. Efforts aimed at engaging customers on a personal level frequently miss the mark due to reliance on incomplete and often outdated data, underscoring the critical necessity for a more unified approach to data management. This absence of a comprehensive data strategy not only diminishes customer satisfaction but also constrains avenues for business expansion and innovation. Ultimately, a robust MDM system is essential for fostering a seamless customer experience and driving sustainable growth in today’s competitive landscape.

What is Prove?

Prove’s Phone-Centric Identity™ platform manages over 1 billion identity tokens for both consumers and small enterprises, equipping organizations with the tools to fight against fraud, enhance revenue, and lower operational expenses in the digital realm. By verifying identities, businesses can significantly mitigate the risks of fraud while improving user experiences through the automatic population of forms with authentic information, leading to higher sign-up rates across multiple platforms. Prove's extensive registry, which includes more than 1 billion phone number-based identity tokens, effectively meets a range of identity verification requirements while tackling fraud issues. As a modern approach to identity verification, Prove illustrates how straightforward it can be to confirm identity simply through a phone number. Nevertheless, the persistent threats from hackers, state-sponsored intrusions, global fraud syndicates, deep fakes, and automated bots complicate the establishment of digital trust between businesses and their customers. In this challenging landscape, it is essential for companies to implement strong identity verification protocols to uphold their credibility and ensure online safety, thereby fostering a more secure digital environment for all users. As the digital landscape continues to evolve, the importance of effective identity verification solutions will only grow.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
Formalize
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Microsoft Azure
Salesforce

Integrations Supported

Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
Formalize
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Microsoft Azure
Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Quantexa

Date Founded

2016

Company Location

United Kingdom

Company Website

www.quantexa.com

Company Facts

Organization Name

Prove

Date Founded

2008

Company Location

United States

Company Website

www.prove.com

Categories and Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

Categories and Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Authentication

Biometric
Credential Management
Knowledge-Based Authentication
Mobile Authentication
Multifactor Authentication
Out-of-Band Authentication
Policy Management
Self Service Portal
Single Sign On
Social Sign On

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

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