Presort Object Receives USPS® PAVE™ Gold Certification for PAVE Cycle K

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Melissa Data is pleased to announce that Presort Object, a developer’s API for postal presorting, has received USPS® PAVE™ Gold certification for PAVE Cycle K. Gold certification ensures a higher level of compliance with postal regulations because the software has passed an extra round of tests above and beyond the standard PAVE protocol.

Presort Object helps service bureaus and end-users reduce postage costs by up to 35 percent, and it gives integrators the flexibility to configure mailing parameters once, then run the mailing process automatically without a computer operator to streamline operations and save on manual labor.Read More

Data Quality Tips from Our Experts

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By Admound Chou

Assistant Data Quality Manager

 

The date most mailers (and those in the industry) perhaps feared – Jan. 4, 2010 – has finally come. Starting Jan. 4, 2010, a First-Class™ or Standard Mail® mailing must pass a USPS®-mandated Move Update compliance measure – or face a 7-cent per piece penalty. Penalties will be assessed on mailings that have an error rate of more than 30 percent.Read More

Wayward Seasonal Catalog Waste Ends With Web-based Apps

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By Donna Hogan
Special Correspondent for TechNews Arizona

 

 

‘Tis the season to pack mailboxes with hefty holiday gift catalogs from Williams-Sonoma, See’s Candies, Sears, et al, touting great deals on everything from peppermint bark to perfume to pots and pans.

 

But how many of the glossy paper-based pitches for toys or fishing gear or lingerie are addressed to a long-ago homeowner and resented by the “or current” resident who has to dispose of them?Read More

Case Study: Northern Ontario School of Medicine (NOSM)

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In this case study, the Northern Ontario School of Medicine (NOSM) was able to cleanse and incorporate their data from about 30 distinct source systems, by integrating Melissa Data’s Total Data Quality Integration Toolkit (TDQ-IT). TDQ-IT works within the SSIS data flow to deliver a wide range of data integration, transformation, and cleansing functionality including: profiling, parsing, cleansing, matching, and monitoring.Read More