Many external data sources track the same companies, but each maintains a different set of attributes. For example, one data source may maintain company domains, while another maintains company headquarter locations. Matching these datasets together to take advantage of all of them concurrently is often a highly manual process that is impossible to complete with any amount of scale — even hundreds of records can take weeks.
Accurately clean, curate and match diverse datasets quickly with minimal effort required from your technical team to better identify investment opportunities, benchmark portfolios, and power downstream dashboards for investment teams. Take the quality and reliability of your data up a notch and further improve accuracy of entity resolution by enriching your records with the most up-to-date firmographics data.
Templatized solution built to drive operational efficiency and business outcomes
Legal entity mastering enables you to connect your organization’s data warehouse, clean and match data through a highly accurate machine-learning model, and create golden records that describe all of the attributes available for an entity.
Identify investment opportunities through a highly-accurate, automated mastering process that can be managed with minimal effort.
Drive top line growth and enhance customer experience through thoughtful personalization by leveraging 360-view into customer records.
Make compliance with rigid regulations, privacy laws, and reporting standards easy with trustworthy legal entity data.
A solution built on patented, innovative machine learning technology
Tamr’s data mastering and enrichment solutions make it easy to integrate internal and external data sources quickly to power analytic insights and drive business outcomes. Our integrated turn-key solutions combine machine learning optimized for scale and accuracy, a low code/no code environment, and data enrichment built into the workflow to streamline operations.
Provide context to the business data that matters most to your teams
Learn how to build reliable, trustworthy data pipelines and workflows on top of mastered legal entities to ensure everyone is “speaking the same language” and agrees what the data (and metadata) is and is not.