Deduplication

The process of identifying and eliminating duplicate data entries within a system. It ensures the accuracy and integrity of user data, particularly within customer databases.  Duplicate entries can arise due to various reasons, such as:

• Typos or inconsistencies in user-entered data during registration.

• Merging of databases from different sources.

• Users create multiple accounts unintentionally or intentionally.

Deduplication, the process of eliminating duplicate data entries, plays a vital role in ensuring data integrity, enhancing the overall user experience and preventing fraudulent users 

Deduplication Techniques 

1. Matching Algorithms

These algorithms compare data points like names, addresses, email addresses, and phone numbers to identify potential duplicates.

2. Fuzzy Matching

This technique accounts for typos and slight variations in data entries to ensure even partial matches are identified.

3. Human Review

In some cases, complex scenarios may require manual review after algorithmic identification of potential duplicates.

At Smile ID, Deduplication has proven effective in helping to combat this Bonus/Referral Fraud of fraud. In practice, deduplication cross-references new signups against biometric data of previous signups and alerts businesses if the same data appears multiple times. Deduplication flags duplicate sign-ups regardless of country, ID type, ID number, name, or date of birth. It is the most effective deterrent for organised attacks on promotional signup codes.

At Smile ID, we have detected over 1.7 million duplicate faces for our customers using Smile Secure, our proprietary deduplication tool.