Tamr, the leading cloud-native data mastering solution, announced the introduction of Tamr Enrich, a set of enrichment services built natively into the data mastering process. Using Tamr’s patented human-guided machine learning, Tamr Enrich curates and actively manages external datasets and services, enabling customers to seamlessly embed trusted, high-quality external data insights to their data mastering pipelines for richer business.
“Companies go to great lengths, spending millions of dollars to attempt to derive business value from disparate data sources,” said Anthony Deighton, Tamr’s chief product officer. “We’re excited to offer a built-in solution that provides one-click simplicity and makes customers’ data cleaner and more complete.”
For example, when a business wants to integrate an application programming interface (API) for address validation and standardization, it requires significant investment to implement the capability, including hiring a vendor to find the source, build the integration, maintain the integration, manage the vendor and make updates. Tamr Enrich eliminates many of these obstacles, enabling clean, trusted data without complexity. Customers also benefit from Tamr’s unique ability to continuously add new enrichment sources versus existing solutions in the market today that offer a static set of services.
“We previously needed to manage multiple vendors, which was expensive operationally and added significant complexity to our data operations,” said Harveer Singh, Chief Data Architect at Western Union, “Tamr Enrich is a game-changer. It gives us a complete, integrated solution that enables Western Union to deliver a seamless digital experience to our customers. Tamr’s made it easier to maintain clean, curated data across the customer journey.”
Tamr is a leading data mastering company, accelerating the business outcomes of the world’s largest organizations by powering analytic insights, boosting operational efficiency, and enhancing data operations. Tamr’s cloud-native solutions offer an effective alternative to traditional Master Data Management (MDM) tools, using machine learning to do the heavy lifting to consolidate, cleanse, and categorize data. Tamr is the foundation for modern DataOps at large organizations, including industry leaders like Toyota, Santander, and GSK. Backed by investors including NEA and Google Ventures, Tamr transforms how companies get value from their data.