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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 DQ for Excel?

Elevate your customer data management in an accessible setting by effortlessly exporting it to Microsoft Excel and employing our convenient plugin available in the Office Store, which enhances data quality significantly. Our tool allows you to modify data by abbreviating, expanding, omitting, or normalizing it in five languages and across twelve distinct categories of entities. You can analyze the similarities between records using various comparison methods, including Levenshtein and Jaro-Winkler, while also generating phonetic match keys for deduplication, such as DQ Fonetix™, Soundex, and Metaphone. Furthermore, classify your data to identify the nature of each entry—for example, distinguishing Brian or Sven as individuals, while recognizing Road, Strasse, or Rue as parts of an address, and identifying Ltd or LLC as corporate legal designations. You have the capability to extract information like gender from names and sort contact details based on job titles and roles that involve decision-making. DQ for Excel™ integrates seamlessly with Microsoft Excel, ensuring that it is both user-friendly and efficient for managing data effectively. In addition, its robust functionalities guarantee that your customer data stays precise, pertinent, and well-organized. This comprehensive approach not only streamlines your workflow but also significantly enhances the overall quality of your data management practices.

Media

Media

Integrations Supported

Microsoft Excel
IBM AIX
Oracle Cloud Infrastructure
Oracle Solaris

Integrations Supported

Microsoft Excel

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard 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

Melissa

Date Founded

1985

Company Location

United States

Company Website

www.melissa.com/data-quality-suite

Company Facts

Organization Name

DQ Global

Date Founded

1997

Company Location

United States

Company Website

www.dqglobal.com/products/dq-for-excel/

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

Data Quality

Not specified

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