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Is your organization facing significant challenges reconciling and activating data to make informed business decisions and support growth strategies?
Tamr helps some of the world’s largest organizations overcome their toughest data challenges and better leverage their data to drive business outcomes. Tamr’s cloud-native data mastering solution combines machine learning-based models, human feedback, and limited rules to quickly and easily publish accurate, up-to-date, and curated data sets that are analytics-ready and fit for consumption by downstream applications. Tamr’s ability to manage a dynamic hybrid environment allows enterprises to start mastering data on-premise and migrate to the cloud to take advantage of the flexibility, security, and cost benefits of using AWS, Microsoft Azure, and Google Cloud Platform.
Novartis, GSK, Toyota, Santander, and Société Générale use Tamr for use cases including clinical trials data reconciliation, customer 360, and spend optimization.
Tamr, available through HPE Complete, combines machine learning with data expert input to automate data mapping across disparate sources.
Easily integrate new data sources as opposed to traditional rules-based data management solutions that are costly to build and maintain.
Tamr fuels analytics with curated, mastered datasets purpose-built for data visualization tools, improving the ability to uncover insights needed to accelerate business-critical data projects and drive business outcomes.
Tamr’s cloud-native capabilities offer improved scalability for mastering data in the cloud.
Seamlessly migrate data workloads to the cloud from on-premise deployments.
Tamr’s cloud-native capabilities permit lower total cost of ownership for data mastering.