Melissa Data Enhances Data Quality Tools for SQL Server With Global Email and Phone, Email Mailbox Verification and Property Info

Powerful Features Support Developers With Enriched, De-Duplicated Customer Records; Combats Exponential Increase in Costly Data Decay, Highlighted in Company Magazine


RANCHO SANTA MARGARITA, CA--(Marketwired - Oct 29, 2014) - Melissa Data, a leading provider of global contact data quality and data enrichment solutions, today announced significant enhancements to its flagship Data Quality Components for SQL Server Integration Services (SSIS), including the addition of three new services: global email, global phone verification, and U.S. property data enrichment. Data Quality Components for SSIS is a suite of custom data cleansing transformation components for Microsoft SSIS, used to standardize, verify, correct, consolidate and update contact data. With these new features, developers and DBAs are positioned to verify, enrich and retain all the best pieces of global customer data, using a single comprehensive and proven data quality tool.

New to the suite of tools is global email verification, which includes real-time email mailbox verification to eliminate up to 95 percent of invalid emails, so emails get delivered and don't bounce. Global phone numbers from over 230 countries can be verified and appended with geographic information, such as latitude and longitude coordinates, administrative area and predominant language spoken in that region. In addition, global phone features include the ability to return the digits necessary to dial out of your country and into the country of the phone number that was input. For users seeking to enrich U.S. address data, the property feature will provide up-to-date property and mortgage information on more than 140 million properties to improve overall customer intelligence.

"Contact data is always in flux, in fact, half of the customer records held in the average database are invalid or out-of-date in just 45 months -- what we call the half-life of data," said Bud Walker, director of data quality solutions, Melissa Data. "Particularly as data becomes more global and increasingly includes email as a critical path of contact, database design must incorporate flexible, scalable tools that rely on a comprehensive approach to managing constant changes in customer data."

Melissa Data's research into the half-life of data, including the operation and long-term costs associated with undeliverable shipments, low customer retention and unsuccessful CRM initiatives, along with other SQL-based data quality challenges are featured in the current issue of Melissa Data Magazine, the company's quarterly resource for DBAs and data quality developers.

Melissa Data Magazine will be available at PASS Summit 2014, Booth #407, starting November 4 in Seattle, Washington. Click here to download the SQL Server edition of Melissa Data Magazine, or call 1-800-MELISSA (635-4772) for more information.

About Melissa Data
Since 1985, Melissa Data has specialized in contact data quality and address management tools with a global perspective. The company's solutions help organizations effectively capture and maintain international customer contact data at the point of entry, ensuring accurate customer information across the enterprise. More than 10,000 clients worldwide in arenas such as retail, education, healthcare, insurance, finance, government and other sectors, rely on Melissa Data for a full spectrum of data validation software and services. Melissa Data's international operations readily enable access to local sales and support, including offices in the US, Europe and India. For more information or free product trials, visit www.MelissaData.com or call 1-800-MELISSA (635-4772). Follow Melissa Data on Twitter, Facebook, LinkedIn and YouTube.

Contact Information:

MEDIA CONTACTS:

For Melissa Data:
Greg Brown
Vice President, Marketing
Melissa Data

(800) 635-4772 x130

For Melissa Data:
Jackie Zerbst
MPowered Public Relations

(714) 998-3448

Melissa Data's Calculation of the Half-Life of Customer Data