SiNGL Introduction
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.
View MoreWhat is SiNGL
SiNGL is a simplified solution for achieving a single customer view through data deduplication and golden record generation. It offers an alternative to complex and expensive Master Data Management (MDM) systems, allowing organizations to consolidate and clean their customer data quickly and cost-effectively. SiNGL can be implemented in less than 90 days, making it an agile option for businesses looking to improve their data quality and customer insights.
How does SiNGL work?
SiNGL uses advanced AI algorithms to deduplicate customer records across multiple systems. The solution is trained on an organization's own enterprise data, creating scores for each record to determine if two records belong to the same physical entity. Users can set thresholds to control the deduplication process. Once duplicates are identified, SiNGL generates golden records - single, authoritative versions of each customer profile. These consolidated records can then be used to create a 360-degree view of customers, including householding and relationship graphs. SiNGL also offers API integration to improve data integrity in consuming systems and automate data quality improvements.
Benefits of SiNGL
By implementing SiNGL, organizations can realize multiple benefits across revenue, cost savings, and risk reduction. The solution enables more effective up-selling and cross-selling through accurate customer profiles, improves marketing campaign effectiveness, and increases conversion rates. Cost savings are achieved through reduced mailing and call center expenses, improved customer retention, and decreased data cleansing efforts. SiNGL also helps reduce risks by creating accurate risk profiles, aiding in fraud detection, improving data quality in reports, and supporting regulatory compliance efforts such as GDPR, KYC, and AML in the banking and financial services sector.
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