Data Quality Tips from Our Experts

Blog Administrator | Uncategorized | , ,

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

Blog Administrator | Uncategorized | , , ,

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)

Blog Administrator | Uncategorized | , , , ,

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

Case Study: University of Iowa, College of Dentistry

Blog Administrator | Uncategorized | ,

In this case study, The University of Iowa’s College of Dentistry successfully cleaned their database of bad addresses and cut back on returned mail with Melissa Data’s Data Quality Suite. Most of the clinic’s database errors were caused by patients intentionally providing fictional billing information; the administration having difficulty reading the patients’ forms; or even simple clerical mistakes. Therefore, it was imperative for the university’s clinic to find a solution that would verify and correct addresses and contact information in real-time during data entry – to maintain contact with their patients.Read More