"Tamr helps the world's largest financial services companies master their data at scale, improving regulatory operations, lower their risk and enhance customer experience.
Solving the Toughest Data Challenges in Financial Services
Reference Data Management
Master external reference data for customers, securities and other entities (e.g., LEI issuers, data aggregators) with internal sources to drive data-driven decisions.
AML and KYC
Streamline beneficial ownership identification during customer onboarding. Enrich customer records with internal and external data to uncover suspicious activity and lower risk.
Privacy, GDPR, CCPA
Identify all internal systems that contain customer data and maintain a mapping of customer references and uncover enterprise data sources that contain PII.
Customer 360
Drive a consistent customer experience and support up-sells and cross-sells by creating a single view of each customer, including transactions, interactions, and products.
Spend Analytics and Procurement
Optimize procurement policies, realize cost saving opportunities, discover the best suppliers, and reduce costs by identifying dormant or duplicate suppliers.
Regulatory Reporting
Master risk data from across data silos and automate significant portions of the regulatory reporting process, like CCAR, ALM, and more, to streamline operations.
The only data mastering solution offering cloud-native, on-premise, and hybrid deployments
- Accelerate data mastering projects from years to weeks or months using human-guided machine learning
- Lower cost of ownership through reduced manual workflows
- Empower data teams to focus on high-value work and deliver business outcomes with curated, mastered enterprise data
- Integrate seamlessly with data pipelines and analytics solutions through open architecture and robust APIs
Transformative Analytics Start with Mastered Data
Tamr employs proprietary machine learning (ML) algorithms to accurately master entities across a variety of datasets. The ML engine is guided by human response, using yes and no responses. The output is a curated, versioned dataset that can be used to power a host of downstream analytics, including data visualization tools like Qlik and Tableau, or directly to data analysts and engineers for business intelligence and other data programs.
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See Tamr in Action
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