SiNGL Features
SiNGL is an AI-powered data deduplication and golden record generation solution that provides a single view of customer data without the complexity of full MDM systems.
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Key Features of SiNGL
SiNGL is a simple, agile solution for data deduplication, matching and linking that extracts data from multiple source systems to deliver a Single View of critical master data assets like customers, vendors, products, etc. It uses AI and industry-specific algorithms to cleanse data, remove duplicates, and generate a 'Golden Record' that can be distributed back to source systems and downstream applications.
AI-Powered Deduplication: Uses advanced AI algorithms trained on enterprise data to accurately deduplicate records and identify matching entities.
Golden Record Generation: Creates a single 'Golden Record' for each unique entity by combining and reconciling data from multiple sources.
Multi-Source Data Integration: Extracts and combines data from various enterprise systems like ERP, CRM, etc. to create a unified view.
Rapid Implementation: Can be deployed in 3-4 months, providing a quick solution for master data management challenges.
Use Cases of SiNGL
Customer 360 View: Create a complete customer profile by consolidating data from multiple systems to enable better targeting and personalization.
Regulatory Compliance: Help meet KYC, AML and other regulatory requirements by providing an accurate, deduplicated view of customer data.
Merger & Acquisition Integration: Quickly integrate and deduplicate customer/vendor data when merging IT systems after an acquisition.
Marketing Campaign Optimization: Improve marketing ROI by eliminating duplicate communications and creating more targeted campaigns based on complete customer profiles.
Pros
Quick implementation compared to full MDM solutions
Cost-effective for organizations that don't need a full MDM platform
Flexible deployment options - cloud or on-premises
Cons
May lack some advanced features of enterprise MDM platforms
Requires existing source systems to extract data from
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