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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

MatchX offers a comprehensive AI-enhanced data quality and matching solution that revolutionizes how companies manage their information assets. By integrating powerful data ingestion capabilities and intelligent schema mapping, MatchX structures and validates data from diverse sources, including APIs, databases, and documents. The platform’s self-learning AI models automatically detect and correct inconsistencies, duplicates, and anomalies, ensuring data integrity without intensive manual intervention. MatchX also provides advanced entity resolution techniques like phonetic and semantic matching to unify records with high precision. Its role-based workflows and audit trails facilitate compliance and governance across industries. Real-time AI-driven dashboards deliver continuous monitoring of data quality, trends, and compliance status. This end-to-end automation enhances operational efficiency while reducing risks associated with poor data. Built to handle massive data volumes, MatchX scales effortlessly with evolving business demands.

Description

Assisting businesses in actively overseeing their comprehensive data quality lifecycle is achieved through the implementation of contextual data quality assessments, anomaly detection, and corrective measures. By revealing anomalies and relevant metadata, teams are empowered to implement necessary corrective actions effectively. Automated remediation workflows can be initiated to swiftly and efficiently address any errors that arise. This proactive approach helps ensure superior data quality, safeguarding against inaccuracies that could undermine business decision-making. Additionally, the SLA chart offers a detailed overview of service level agreements, showcasing the total number of monitoring activities conducted and any violations encountered. Such insights can significantly aid in pinpointing specific areas of your data that may necessitate further scrutiny or enhancement. Ultimately, maintaining robust data quality is essential for driving informed business strategies and fostering growth.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift No 
Amazon S3 No 
Apache Kafka Yes 
Azure Blob Storage No 
Collibra Yes 
Databricks No 
Google Cloud BigQuery No 
Google Cloud Storage No 
Looker Yes 
Microsoft Power BI Yes 
PostgreSQL Yes 
Salesforce Yes 
Snowflake No 
Tableau Yes 

Integrations

Amazon Redshift Yes 
Amazon S3 Yes 
Apache Kafka No 
Azure Blob Storage Yes 
Collibra No 
Databricks Yes 
Google Cloud BigQuery Yes 
Google Cloud Storage Yes 
Looker No 
Microsoft Power BI No 
PostgreSQL No 
Salesforce No 
Snowflake Yes 
Tableau No 

Pricing Details

No price information available.
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 Yes 
Linux No 
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 No 

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) Yes 
In Person No 

Vendor Details

Company Name

VE3 Global

Founded

2010

Country

United Kingdom

Website

www.ve3.global/matchx/

Vendor Details

Company Name

Qualytics

Founded

2020

Country

United States

Website

qualytics.co

Product Features

Data Quality

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

Product Features

Data Quality

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

Alternatives

Alternatives

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