5-Minute Guide to Entity Resolution for Financial Services
Financial services business decisions often center on logical entity types: deals, funds, investment vehicles, and properties. But reconciling records across these datasets is challenging.
Enable strategic decision-making for your firm
- Unify disparate datasets into a single logical entity that forms the foundation for valuable information
- Address challenges related to data quality, scale, and evolving business contexts from rapidly expanding portfolio company data
- Leverage machine learning techniques to enhance accuracy, automate processes, and save resources
- Develop a workflow that enriches company data with CapIQ, Pitchbook, Bloomberg, and other external data sources
Enable strategic decision-making for your firm
- Unify disparate datasets into a single logical entity that forms the foundation for valuable information
- Address challenges related to data quality, scale, and evolving business contexts from rapidly expanding portfolio company data
- Leverage machine learning techniques to enhance accuracy, automate processes, and save resources
- Develop a workflow that enriches company data with CapIQ, Pitchbook, Bloomberg, and other external data sources
Put entity resolution into practice
Entity resolution, also known as entity linkage or record matching, is a technique used to associate multiple disparate datasets into a logical entity or, in simpler terms, one real-world thing like a person, organization, address, bank account, device, etc. Entity resolution addresses the challenge of reconciling records across (and within) datasets, so that the same records are detected, matched, and assigned a unique ID to ensure they are treated as one unique entity going forward.
Leading global investment firm Blackstone implemented a data mastering strategy with Tamr to create golden records of client, property, and other key-asset data across its $600+ billion portfolios. With Tamr, Blackstone was able to effectively curate and enrich its customer data at scale, allowing them to create the golden records they desired.