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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Industry experts estimate that as much as 20 percent of a business's contact information may be inaccurate, leading to issues such as returned mail, costs for address corrections, bounced emails, and inefficient marketing and sales endeavors. To address these challenges, the Data Quality Suite offers tools to standardize, verify, and correct contact information including postal addresses, email addresses, phone numbers, and names, ensuring effective communication and streamlined business processes. It boasts the capability to verify, standardize, and transliterate addresses across more than 240 countries, while also employing advanced recognition technology to identify over 650,000 ethnically diverse first and last names. Furthermore, it allows for the authentication of phone numbers and geo-data, ensuring that mobile numbers are active and reachable. The suite also validates domain names, checks syntax and spelling, and even conducts SMTP tests for comprehensive global email verification. By utilizing the Data Quality Suite, organizations of any size can ensure their data is accurate and up-to-date, facilitating effective communication with customers through various channels including postal mail, email, and phone calls. This comprehensive approach to data quality can significantly enhance overall business efficiency and customer engagement.

Description

NetOwl NameMatcher, recognized for its excellence in the MITRE Multicultural Name Matching Challenge, delivers unparalleled accuracy, speed, and scalability in name matching solutions. By employing an innovative machine learning framework, NetOwl effectively tackles the intricate challenges of fuzzy name matching. Conventional methods like Soundex, edit distance, and rule-based systems often face significant issues with precision, leading to false positives, and recall, resulting in false negatives, when confronting the diverse fuzzy name matching scenarios outlined previously. In contrast, NetOwl leverages a data-driven, machine learning-based probabilistic strategy to address these name matching difficulties. It automatically generates sophisticated, probabilistic name matching rules from extensive, real-world multi-ethnic name variant datasets. Furthermore, NetOwl employs distinct matching models tailored to various entity types, such as individuals, organizations, and locations. To add to its capabilities, NetOwl also integrates automatic detection of name ethnicity, enhancing its adaptability to the complexities of multicultural name matching. This comprehensive approach ensures a higher level of accuracy and reliability in diverse applications.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ArcGIS No 
Elasticsearch No 
Google Maps No 
IBM AIX Yes 
IBM Cloud No 
Kibana No 
MarkLogic No 
Microsoft Excel Yes 
Oracle Cloud Infrastructure Yes 
Oracle Solaris Yes 
Palantir Apollo No 
SolrCommerce No 
Tableau No 

Integrations

ArcGIS Yes 
Elasticsearch Yes 
Google Maps Yes 
IBM AIX No 
IBM Cloud Yes 
Kibana Yes 
MarkLogic Yes 
Microsoft Excel No 
Oracle Cloud Infrastructure No 
Oracle Solaris No 
Palantir Apollo Yes 
SolrCommerce Yes 
Tableau Yes 

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 Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
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 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 Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Melissa

Founded

1985

Country

United States

Website

www.melissa.com/data-quality-suite

Vendor Details

Company Name

NetOwl

Founded

1996

Country

United States

Website

www.netowl.com/name-matching-software

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

Email Verification

Bulk Email Verification Yes 
Catch-all Server Detection Yes 
Disposable Email Detection Yes 
Domain Check Yes 
Mail Server Validation No 
Single Email Verification Yes 
Spam Trap Detection Yes 
Syntax Check 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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