Kensho Link is a machine learning service designed to map entities in your database to unique identifiers from S&P Global’s extensive company database with precision and speed. Utilizing advanced AI algorithms, Kensho Link delivers high-quality matches even when input data is incomplete or contains errors. By assigning unique IDs to each entity, it enhances the value of your data through seamless enrichment, deduplication, and synchronization, transforming raw information into actionable insights. Key Features and Functionality: - Entity Mapping: Accurately links your database entities to S&P Global’s Capital IQ database, which encompasses over 20 million companies. - Data Enrichment: Enables the augmentation of your data with comprehensive information from S&P Global’s datasets, including company fundamentals and corporate hierarchies. - Data Cleaning and Deduplication: Identifies and resolves inconsistencies and duplicates within your data, ensuring accuracy and reliability. - Flexible Input Handling: Processes various data attributes such as company names, aliases, URLs, phone numbers, addresses, and founding years to improve match quality. - Integration with BECRS: Seamlessly integrates with S&P Global Market Intelligence’s Business Entity Cross Reference Service (BECRS, providing access to a wide range of third-party identifiers and enhanced corporate hierarchy navigation. Primary Value and Problem Solved: Kensho Link addresses the challenges of managing and integrating disparate and often messy datasets by automating the entity linking process. This automation reduces manual effort, minimizes errors, and accelerates data processing times. By connecting your data to S&P Global’s authoritative identifiers, Kensho Link enhances data quality, facilitates comprehensive analysis, and supports informed decision-making. Whether for data enrichment, cleaning, or synchronization, Kensho Link empowers organizations to unlock the full potential of their data assets.