
Kensho LinkKensho
Kensho Link is a machine learning service that maps company entities in your database to unique IDs from S&P Global’s Capital IQ database. It enables fast, accurate linking even with incomplete or messy data, enhancing data quality through enrichment, deduplication, and improved integration workflows.
Vendor
Kensho
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Product details
Kensho Link
Kensho Link is a machine learning-powered service that maps company entities in your database to unique identifiers from S&P Global’s Capital IQ database. It transforms messy, incomplete, or inconsistent data into structured, enriched datasets, enabling faster workflows, improved accuracy, and deeper insights across enterprise systems.
Features
- AI-driven entity resolution and linking
- Integration with S&P Global’s Capital IQ and BECRS datasets
- High-accuracy matching even with incomplete or erroneous data
- Support for aliases, abbreviations, and inconsistent formats
- Real-time and batch processing capabilities
- REST API access for automated workflows
- Match scoring for confidence-based linking
- Data enrichment and deduplication tools
- CRM and database synchronization
- Secure and scalable infrastructure
Capabilities
- Map millions of company records to verified Capital IQ IDs
- Clean and organize corporate datasets with minimal manual effort
- Enrich internal databases with third-party financial and structural data
- Detect and resolve duplicates and inconsistencies
- Navigate corporate hierarchies using BECRS integration
- Automate linking workflows across enterprise systems
- Improve data quality for analytics, compliance, and reporting
- Enable seamless integration with existing APIs and data pipelines
Benefits
- Accelerates data onboarding and transformation
- Reduces manual linking errors and operational overhead
- Enhances decision-making with enriched, structured data
- Improves CRM and database usability
- Enables scalable data governance and compliance
- Supports faster integration with S&P Global’s ecosystem
- Increases confidence in data-driven processes
- Saves time and resources across data teams