Custom data matching
Building solutions for complex data challenges
Custom data matching
Building solutions for complex data challenges
www.customdatamatching.com
Expert Data Matching and Entity Resolution
Hello! My name is Christy Warner and I specialize in fuzzy data matching and entity resolution, leveraging over 25 years of experience in computer programming and data mining. If you are looking for customized data matching services - not off-the-shelf software - I will build a solution that fits your unique data needs. I have successfully completed many data quality audits, vendor file cleanups, and data consolidation projects. As Lead Architect, I designed Medicare-Medicaid matching algorithms, matching providers via name, address, specialty, and license numbers, all using fuzzy-matching logic. I also completed a complicated vendor file consolidation project for The World Bank.
What we do
Data Matching
Project Examples
Project Examples
I specialize in complex data matching and entity resolution using a variety of tools including: SAS, Excel, SQL, Python, and Power BI. My services cover: removing duplicate records, merging disparate files together, consolidating records into one entity or ID, and name and address matching. I have worked extensively with healthcare claims, clinical data, and accounts payable records.
Project Examples
Project Examples
Project Examples
Successfully completed data-matching projects include:
- Middlesex County, NJ Vendor File Data Matching Project
- Centers for Medicare & Medicaid Medi-Medi Data Matching Project
- New York Immigration Coalition Data Matching Project
- The World Bank Vendor File Data Matching Project
What is Data Matching?
Data matching is a process where 2 or more text strings are compared via fuzzy-matching functions, such as Levenshtein, GED, Jaro-Winkler, PctTriGram, and more. It is a critical step in improving data quality & data integrity. Contact me to learn more!