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Ratings and Reviews 0 Ratings
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What is NetOwl NameMatcher?
NetOwl NameMatcher, celebrated for its superior performance in the MITRE Multicultural Name Matching Challenge, offers exceptional accuracy, rapid processing, and scalability in its name matching solutions. Utilizing a cutting-edge machine learning framework, NetOwl adeptly addresses the complex challenges associated with fuzzy name matching. Traditional techniques like Soundex, edit distance, and rule-based systems frequently struggle with precision, leading to an abundance of false positives, and recall issues that result in false negatives, particularly when faced with the varied fuzzy name matching scenarios mentioned earlier. In contrast, NetOwl adopts a data-driven, machine learning-based probabilistic approach to overcome these name matching challenges effectively. It autonomously develops advanced, probabilistic name matching rules from vast real-world datasets containing multi-ethnic name variants. Additionally, NetOwl implements specialized matching models designed for different entity types, including individuals, organizations, and geographical locations. To enhance its functionality, NetOwl incorporates automatic detection of name ethnicity, which significantly boosts its adaptability to the complexities inherent in multicultural name matching. This holistic strategy not only elevates accuracy but also ensures dependable performance across a wide array of applications. Consequently, organizations relying on precise name matching can greatly benefit from the innovative solutions provided by NetOwl.
What is Melissa Data Quality Suite?
Experts in the field suggest that nearly 20 percent of the contact information held by businesses may be inaccurate, which can result in complications such as returned mail, expenses for correcting addresses, bounced emails, and ineffective marketing and sales efforts. To combat these issues, the Data Quality Suite provides a range of tools designed to standardize, verify, and rectify contact information, encompassing postal addresses, email addresses, phone numbers, and names, thereby promoting effective communication and streamlining business operations. It features the ability to verify, standardize, and transliterate addresses in over 240 countries while utilizing advanced recognition technology to identify more than 650,000 diverse first and last names. Additionally, the suite provides options for authenticating phone numbers and geo-data to ensure that mobile numbers are both active and accessible. It also validates domain names, checks for syntax and spelling errors, and conducts SMTP tests to ensure thorough global email verification. By leveraging the Data Quality Suite, organizations of all sizes can maintain the accuracy and currency of their data, enhancing communication with customers through various mediums, including postal mail, email, and phone interactions. This holistic approach to data quality not only boosts overall business efficiency but also fosters stronger customer engagement and satisfaction. Moreover, as accurate data becomes increasingly vital in a competitive market, businesses that utilize such tools can gain a significant advantage over their rivals.
Integrations Supported
ArcGIS
Elasticsearch
Google Maps
IBM AIX
IBM Cloud
Kibana
MarkLogic
Microsoft Excel
Oracle Cloud Infrastructure
Oracle Solaris
Integrations Supported
ArcGIS
Elasticsearch
Google Maps
IBM AIX
IBM Cloud
Kibana
MarkLogic
Microsoft Excel
Oracle Cloud Infrastructure
Oracle Solaris
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
NetOwl
Date Founded
1996
Company Location
United States
Company Website
www.netowl.com/name-matching-software
Company Facts
Organization Name
Melissa
Date Founded
1985
Company Location
United States
Company Website
www.melissa.com/data-quality-suite
Categories and Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Categories and Features
Address Verification
Address Validation
Autocomplete
Automatic Formatting
Data Cleansing
Data Discovery
Data Quality Control
Data Verification
Geographic Maps
Geolocation
Metadata Management
Reporting / Analytics
Search / Filter
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Email Verification
Bulk Email Verification
Catch-all Server Detection
Disposable Email Detection
Domain Check
Mail Server Validation
Single Email Verification
Spam Trap Detection
Syntax Check