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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 Efforts to engage customers on a personal level often fail, as they rely on incomplete and frequently outdated information, highlighting the urgent need for a more cohesive approach to data management.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
Solidatus, an award-winning platform, is revolutionizing the way businesses worldwide enhance their understanding and optimization of data and organizational processes. Its innovative approach to digitally transforming enterprises into data-centric and lineage-enabled entities is reshaping how companies discover, document, map, and manage their data assets. With a diverse selection of ready-to-use connectors and a user-friendly open API, Solidatus allows users to seamlessly import metadata from any origin. After importing, you can structure your data into manageable building blocks, establishing interconnections that enrich your data framework with meaningful context. The adaptability of Solidatus enables you to create blueprints that can vary in complexity according to your needs, putting you firmly in control of the process. Utilizing Solidatus’ robust query language, you can delve into specific areas of your blueprint that pique your interest, and by employing display rules and filters, you are empowered to pose precise questions regarding your data. This level of customization not only enhances clarity but also drives informed decision-making within organizations.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
Corlytics
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Microsoft Azure
Ploy
Safyr
Integrations
Amazon Web Services (AWS)
Apache Spark
Azure Marketplace
Corlytics
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Microsoft Azure
Ploy
Safyr
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
Quantexa
Founded
2016
Country
United Kingdom
Website
www.quantexa.com
Vendor Details
Company Name
Solidatus
Country
United States
Website
www.solidatus.com
Product 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
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge