Customer deduplication in identity management is a critical process that ensures each individual is uniquely represented within a system. It involves identifying and eliminating duplicate records across various databases, which can occur due to multiple account creations, data entry errors, or variations in personal information.
Advanced algorithms and AI/ML techniques are employed to match and merge records based on factors like name, address, date of birth, and biometric data, ensuring accuracy. This not only enhances the efficiency of identity management systems but also improves customer experience by preventing issues like account confusion and fraud.
Effective document management requires not just the identification of duplicates but also the intelligent grouping and classification of those duplicates. Our Dedup Classification feature leverages the power of DDR IDs to achieve just that.
Using a sophisticated threshold-based approach, our system analyzes the DDR IDs generated for your documents. When documents share the same DDR ID, they are automatically grouped together, forming a cohesive set of identical documents.
By grouping documents with matching DDR IDs, you gain clear insights into your document repository. This classification system helps in maintaining a streamlined and efficient document management process.
Efficient and responsive search capabilities are crucial for managing large document repositories. Our Dedupe Index Search feature is designed to provide you with quick, accurate, and powerful search results.
After the deduplication process, all processed documents are indexed, enabling advanced field-specific searches. This powerful indexing engine allows you to search through various metadata fields with remarkable speed and precision.
Our Deduplication Onboarding Solution streamlines customer identification processes by employing advanced technologies and intelligent algorithms to prevent duplicate entries and ensure a seamless onboarding experience.
Leveraging AI facial recognition technology, the system compares customer faces with existing records in our master database for rapid identification of returning customers.
Our solution utilizes signature recognition and verification to detect duplicate or existing customers based on their signatures, ensuring accuracy and efficiency.
Cross-referencing KYC ID numbers (PAN, Driving License, Passport, Voter ID, etc.) with existing records to identify duplicates and retrieve historical data.
Comparing financial identifiers including bank account numbers, loan numbers, policy numbers, and various financial instruments for comprehensive deduplication.
Specialized module for medical deduplication including health card IDs, army IDs, COVID-19 vaccination IDs, TPA numbers, and medical policy numbers.
Checking for duplicate mobile numbers and email addresses to prevent multiple accounts for the same individual and enhance data integrity.
Our unique selling proposition provides group mapping on complex datasets, creating composite relations between multiple identity landmarks for enhanced accuracy.
Network mapping over group mapping to identify risk portfolios and prevent fraud by creating relational datasets between individuals, companies, and regions.
Our Deduplication Onboarding Solution offers a robust framework for efficient customer identification and record management, enabling organizations to deliver superior service while maintaining data integrity, fraud prevention, risk portfolio management and regulatory compliance.
The customer provides personal details such as photo, signature, KYC ID number, mobile number, email, and other relevant identifiers during onboarding.
The system performs deduplication checks across all provided data points, comparing them with the master database.
If a match is found with existing records, the system retrieves and lists all products or services the customer has previously used.
If no match is found, the system initiates onboarding for new customers, seamlessly capturing information for record creation.
DigiDrive.AI
Making Paradigmatic Shift in Document Management