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Ratings and Reviews 0 Ratings
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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.
What is DataMatch?
The DataMatch Enterprise™ solution serves as a user-friendly tool for data cleansing, specifically designed to tackle challenges associated with the quality of customer and contact information. It employs an array of both unique and standard algorithms to identify inconsistencies that may result from phonetic similarities, fuzzy matches, typographical errors, abbreviations, and domain-specific variations. Users have the ability to implement scalable configurations for a variety of processes, including deduplication, record linkage, data suppression, enhancement, extraction, and the standardization of business and customer data. This capability is instrumental in helping organizations achieve a cohesive Single Source of Truth, which significantly boosts the overall effectiveness of their data management practices while safeguarding data integrity. In essence, this solution enables businesses to make strategic decisions rooted in precise and trustworthy data, ultimately fostering a culture of data-driven decision-making across the organization. By ensuring high-quality data, companies can enhance their operational efficiency and drive better customer experiences.
Integrations Supported
Act!
Act-On
Adobe Marketo Engage
Bullhorn
Eloqua
Google Ads
Google Analytics
HubSpot CRM
Magento
API Availability
Has API
API Availability
Pricing Information
Pricing not provided
Free Trial Offered?
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Windows
On-Prem
Supported Platforms
SaaS
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Company Facts
Organization Name
Melissa
Date Founded
1985
Company Location
United States
Company Website
www.melissa.com/data-quality-suite
Company Facts
Organization Name
Data Ladder
Date Founded
2006
Company Location
United States
Company Website
dataladder.com
Categories and Features
Address Verification
Not specified
Data Quality
Address Validation
Data Profililng
Master Data Management
Email Verification
Bulk Email Verification
Catch-all Server Detection
Disposable Email Detection
Domain Check
Single Email Verification
Spam Trap Detection
Syntax Check
Phone Verification
Not specified
Categories and Features
Address Verification
Not specified
Data Deduplication
Not specified
Data Matching
Not specified
Data Quality
Data Deduplication
Match & Merge