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features
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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

The DataMatch Enterprise™ solution is an intuitive data cleansing tool tailored to address issues related to the quality of customer and contact information. It utilizes a combination of unique and standard algorithms to detect variations that are phonetic, fuzzy, miskeyed, abbreviated, and specific to certain domains. Users can establish scalable configurations for various processes including deduplication, record linkage, data suppression, enhancement, extraction, and the standardization of both business and customer data. This functionality helps organizations create a unified Single Source of Truth, thereby enhancing the overall effectiveness of their data throughout the enterprise while ensuring that the integrity of the data is maintained. Ultimately, this solution empowers businesses to make more informed decisions based on accurate and reliable data.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Act-On No 
Adobe Marketo Engage No 
Bullhorn No 
Eloqua No 
Google Ads No 
Google Analytics No 
Highrise No 
HubSpot CRM No 
Magento No 
Mailchimp No 
Microsoft Dynamics 365 No 
NetSuite No 
NetSuite CRM No 
Oracle CRM On Demand No 
SAP Commerce Cloud No 
Salesforce No 
Salesforce Agentforce Marketing No 
SendGrid No 
Zoho CRM No 
unTill No 

Integrations

Act-On Yes 
Adobe Marketo Engage Yes 
Bullhorn Yes 
Eloqua Yes 
Google Ads Yes 
Google Analytics Yes 
Highrise Yes 
HubSpot CRM Yes 
Magento Yes 
Mailchimp Yes 
Microsoft Dynamics 365 Yes 
NetSuite Yes 
NetSuite CRM Yes 
Oracle CRM On Demand Yes 
SAP Commerce Cloud Yes 
Salesforce Yes 
Salesforce Agentforce Marketing Yes 
SendGrid Yes 
Zoho CRM Yes 
unTill Yes 

Pricing Details

starts at $10000/user per year
Free Trial Yes 
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 Yes 
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) Yes 
Online Support Yes 

Customer Support

Business Hours No 
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) No 
In Person No 

Vendor Details

Company Name

Data Ladder

Founded

2006

Country

United States

Website

dataladder.com

Vendor Details

Company Name

Data Ladder

Founded

2006

Country

United States

Website

dataladder.com

Product Features

Data Cleansing

Address/ZIP Code Cleaning Yes 
Charting No 
Data Consolidation / ETL No 
Data Mapping Yes 
Multi Data Format Support Yes 
Phone/Email Validation Yes 
Raw Data Ingestion No 
Sample Testing No 
Validation / Matching / Reconciliation Yes 

Data Quality

Address Validation Yes 
Data Deduplication Yes 
Data Discovery No 
Data Profililng Yes 
Master Data Management No 
Match & Merge Yes 
Metadata Management No 

Product Features

Address Verification

Address Validation No 
Autocomplete No 
Automatic Formatting No 
Data Cleansing No 
Data Discovery No 
Data Quality Control No 
Data Verification No 
Geographic Maps No 
Geolocation No 
Metadata Management No 
Reporting / Analytics No 
Search / Filter No 

Data Quality

Address Validation No 
Data Deduplication Yes 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge Yes 
Metadata Management No 

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