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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

The leading global tool for data quality that is trusted by countless Salesforce administrators is designed to significantly enhance productivity in handling extensive data sets. It enables users to effectively identify and remove duplicate entries in any database table while allowing for mass manipulation and standardization across multiple Salesforce objects. By utilizing a comprehensive and customizable feature set, DemandTools enhances the process of Lead conversion. This powerful toolset facilitates the cleansing, standardization, and comparison of records, streamlining data management tasks. Additionally, with Validity Connect, users gain access to the EmailConnect module, which allows for bulk verification of email addresses associated with Contacts and Leads. Instead of managing data one record at a time, you can handle all elements of your data in bulk with established, repeatable processes. Records can be deduplicated, standardized, and assigned automatically as they are imported from spreadsheets, entered by end users, or integrated through various systems. Clean data is crucial for optimizing the performance of sales, marketing, and support teams, ultimately boosting both revenue and customer retention. Furthermore, leveraging such tools not only simplifies data management but also empowers organizations to make data-driven decisions with confidence.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Marigold Engage+
Salesforce

Integrations

Marigold Engage+
Salesforce

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

Validity

Country

United States

Website

www.validity.com/demandtools/

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

Data Quality

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

Alternatives

Alternatives

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