Thousands of customers, countless data formats – a telecom provider was struggling with a truly mammoth task: automatically matching addresses from a wide variety of sources. The result? Poor hit rates, manual corrections and enormous time losses. A smart solution was needed to get this data confusion under control.
Facts
Inconsistent data formats & high manual effort
The main problems were discrepancies in street names, zip codes and house numbers – caused by abbreviations, input errors and inconsistent formats. The aim was to automate the comparison, reduce manual effort and at the same time ensure a high level of accuracy and data protection compliance.
Automated Normalization & Fuzzy Matching
The client worked with us to develop a customized solution based on Strapi and PSQL, which was implemented in several steps and has proven to be a successful approach for various other clients:
Data normalization: Customers were provided with a CSV template to enter addresses in a semi-standardized format. The system then normalized street names, zip codes and house numbers, whereby special characters and abbreviations were uniformly replaced.
Fuzzy matching: We used fuzzy matching with the Levenshtein distance algorithm to compare the address components – region, city, street name and house number. This enabled the system to recognize even minor deviations and reliably match addresses with existing entries in the database.
Higher accuracy & efficiency gains
The result was a significant improvement in automated data matching. The company saw greater accuracy in address matching, fewer false positives and a significant reduction in manual effort. All data processing took place locally - without external services - which both increased performance and guaranteed data protection.
The solution enabled the customer to streamline data management, save time and resources and improve the customer experience through more accurate data processing.
Key features:
- Scalable and reusable solution
- Fully deterministic process without dependencies on third-party providers
- High performance thanks to implementation at database level
- Significant reduction in manual address checks
- Guarantee of data protection through in-house processing
Optimized data management
The solution we provided enabled the company to achieve more accurate data reconciliation and greater operational efficiency – while at the same time improving customer satisfaction. This technical implementation set a new benchmark in the management of large volumes of data and seamless data exchange.
