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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Gain a comprehensive understanding of your data through various methods. While automatic profiling offers a foundational overview, enhanced functionalities cater to both technical and business users, enabling a more thorough exploration. With the integration of automation, pattern-based analysis, and statistical methods, you can acquire the in-depth insights necessary for informed decision-making. A broad array of rule-building tools empowers you to manage data quality across different tiers. You can assess standard metrics such as validity, completeness, consistency, accuracy, and timeliness, while also incorporating tailored metrics to fit specific needs. Advanced data quality is ensured through scenario-based rules that yield meaningful and context-sensitive results. Rectify data quality issues and enhance data for more significant insights, as automated correction features efficiently manage most tasks with consistent and traceable decision-making processes. Additionally, issue and workflow management facilitate human-led improvement initiatives. Ultimately, this comprehensive approach allows you to construct a more detailed and accurate representation of your data, employing techniques from entity resolution to complex deduplication and householding, thereby enriching your understanding even further.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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 Yes 
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) Yes 
In Person No 

Vendor Details

Company Name

Data Ladder

Founded

2006

Country

United States

Website

dataladder.com

Vendor Details

Company Name

MIOsoft

Founded

1998

Country

United States

Website

www.miosoft.com/products/miovantage/index.html

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

Data Management

Customer Data Yes 
Data Analysis Yes 
Data Capture No 
Data Integration Yes 
Data Migration Yes 
Data Quality Control Yes 
Data Security Yes 
Information Governance Yes 
Master Data Management Yes 
Match & Merge Yes 

Alternatives

Alternatives

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Digna

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