I built my Data Quality Assurance service for organizations that cannot afford guesswork in their mailing data. I run structured batch accuracy checks across large files, using both automated rules and manual review to confirm that names, addresses, and key attributes align correctly.

As I review the data, I flag and correct inconsistencies, such as mismatched ZIP codes, conflicting address lines, or obvious logic errors. In parallel, I conduct a postal regulation compliance review to verify that your files meet USPS standards and any internal rules you may have for formatting, segmentation, or record inclusion.

You receive a refined, documented dataset you can defend in audits, share with your mail house confidently, and reuse across multiple campaigns. This reduces production delays, protects your discounts, and keeps your team out of last-minute fire drills before every drop.