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Average Ratings 0 Ratings

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ease
features
design
support

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Description

DataMatch Enterprise (DME) is Data Ladder's entity resolution and data matching platform. It identifies records that refer to the same person, business, or entity across disconnected systems, then links and consolidates them into a single accurate record. Core functions include data profiling, standardization, matching, deduplication, and merging, supporting use cases such as Customer 360, KYC, fraud detection, and master data management. The platform is available through a no-code visual interface for business users and a REST API for developers, allowing the same matching engine to be embedded in applications, data pipelines, or AI agent workflows. Match results are rule-based and traceable, so users can see the specific logic behind each linked record rather than a single opaque score. Recent additions include entity graphs for visualizing connected records, live search for real-time matching, and Docker as a deployment option in addition to cloud and on-premises environments. Independent benchmarking across 15 studies shows DME identifying 5 to 12% more matches than comparable tools, with fewer false positives and accuracy up to 99%. In a large-scale test, it processed 10 million records in 41 minutes.

Description

Our industry-leading, comprehensive solution accommodates any master data domain, implementation method, and use case, whether in the cloud or on-premises. It seamlessly integrates top-tier data integration, data quality, business process management, and data privacy features. Address intricate challenges directly with reliable insights into essential master data. Automatically establish connections between master, transactional, and interaction data across various domains. Enhance the precision of data records through verification services and enrichment for both B2B and B2C contexts. Effortlessly update numerous master data records, dynamic data models, and collaborative workflows with a single click. Streamline maintenance costs and accelerate deployment through AI-driven match tuning and rule suggestions. Boost productivity by utilizing search functions along with pre-configured, detailed charts and dashboards. In doing so, you can generate high-quality data that significantly enhances business outcomes by providing trusted and pertinent information. This multifaceted approach ensures that organizations can make data-driven decisions with confidence.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AX Semantics
Exterro
Google Cloud Platform
Google Cloud Pub/Sub
Hadoop
Informatica Supplier 360
Salesforce Agentforce Education
Salesforce CRM Analytics
UKG Pro

Integrations

AX Semantics
Exterro
Google Cloud Platform
Google Cloud Pub/Sub
Hadoop
Informatica Supplier 360
Salesforce Agentforce Education
Salesforce CRM Analytics
UKG Pro

Pricing Details

starts at $10000/user per year
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

Data Ladder

Founded

2006

Country

United States

Website

dataladder.com

Vendor Details

Company Name

Informatica

Founded

1993

Country

United States

Website

www.informatica.com

Product Features

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Product Features

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Master Data Management

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

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