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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
Develop an integrated and streamlined master data management approach across all your business sectors to enhance enterprise data oversight, improve data precision, and lower overall ownership costs. Launch your organization's cloud-based master data management project with a low entry threshold and the flexibility to implement extra governance scenarios at a comfortable pace. By consolidating SAP and external data sources, establish a singular, trusted reference point and facilitate the mass processing of substantial data updates efficiently. Outline, confirm, and track the established business rules to ensure the readiness of master data while assessing the effectiveness of your master data management efforts. Foster a cooperative workflow system with notifications that empower different teams to manage distinct master data characteristics, thereby ensuring the validity of specified data points while promoting accountability and ownership throughout the organization. Moreover, by prioritizing these strategies, you can significantly enhance data consistency and facilitate better decision-making across all levels of the enterprise.
API Access
Has API
API Access
Has API
Integrations
SAP Joule
SAP Store
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
SAP
Founded
1972
Country
Germany
Website
www.sap.com/products/master-data-governance.html
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 Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management