Data Assessment Service Offering – Automate, Optimize, Integrate And Even Manual Research

Do you need help automating, optimizing, integrating, or support manually researching your customer addresses that did not match or were rejected after processing one million (or 100 million records) through one of the many available (professional) software packages your company may have licensed for a recent or upcoming data quality initiative?

Let me help!

Important Note: I am not here to displace or replace your existing software provider, but help support and validate what you have in place today as it relates to:  addressing methods, data quality standards, and even help you establish a data governance strategy that enables your entire enterprise to benefit by a routine, consistent way to manager your names and addresses.  I can help you internally audit your customer name and address file(s) and more depending on the scope and budget you might have in mind.

Please email me for more information at:

  • I have over 25 years of working with customer names and addresses dating back to 1985 when I first joined Metromail Corporation (a mass compiler of public information – driver, voter, real estate, and phone book directories), now Experian.
  • I have mastered and know how to analyze all the nuances between address types and document any necessary business rules that may impact one or more steps, such as: clean, standardize, match, merge, dedupe, household, profile, aggregate, suppress, optimize, and score.
  • I have personally assessed over 200+ customer name and address files and visually displayed the results (before and after) using professional mapping tools for c-level sponsors ranging from: state government, telco, utility, insurance, banking, retail, catalog, and oil/gas master data sources files in preparation of automating large file builds (CDI & MDM)  that span a company’s entire enterprise.
  • I administered for seven years (earlier in my career) a customer master file that spanned multiple desperate address sources (credit, catalog, direct response, insurance, retail) numbering over 200 million (individual) address records or approximately 80 million household records (after applying householding algorithms) that were additionally flagged as mailable vs. non-mailable for direct mail purposes.  We also statistically modeled, scored, and ranked these records from high to low segmented into specialty groupings.
  • I have worked with and mastered many of the USPS postal information address related products over the past 25 years (NCOA, CASS, ZIP+4, DPV,  DSF, Z4Change, etc…) which are modules inside nearly every USA postal and geographic coder from suppliers like Pitney Bowes, Group 1 Software, Anchor, Trillium, Postal Soft, First Logic and even IBM, Oracle, and SAP’s enterprise data quality solutions.
  • Most recently, I have lead (and mentored) major corporate (Top 100) data quality initiatives using MDM solutions like Initiate Systems (now IBM) and Siperian (now Informatica) for the pharmacy, oil/gas, and tele-communications industry’s.  I even worked with Business Objects, DataFlux, and Model1 when they first entered the market years ago in 2000.

I look forward to talking to you and about your companies challenges regarding “address information” (data quality) and how it relates to your present day technical and business requirements across your enterprise.

This blog (data hygiene) I started back in 2008 although I registered it officially the first time in 2000.  This blog contains many of the industry leaders in this space who have sent me requests to add them to the blogroll registry.

If you would like your company product, solution, or website link added – please send me a blogroll request using the tab on the website.  If you need a consultant to assist your company with a data assessment – please email me at:

Regards, Peter

Name: Peter Benza

Company: Enterprise Advice



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