Tamr | AI-Native Master Data Management
Tamr helps organizations consolidate duplicate records and improve data quality. It is designed for businesses managing complex B2B or B2C datasets across multiple systems.
At a glance
- Category
- Data & Analytics
- Best for
- Mid-market companies, Enterprise companies, Data and analytics teams, Business operations professionals
- Pricing
- Tamr uses a subscription model that includes a platform fee and at least one data product, plus a volume-based consumption fee calculated by the number of output Tamr IDs (golden records).
- Key use cases
- Customer 360, Supplier Data Mastering, CRM and ERP Unification, Healthcare Provider Mastering, Product Data Standardization
- Integrations
- S3, GCS, ADLS2, Snowflake, BigQuery
- Official website
- www.tamr.com
Tamr is a cloud-native master data management (MDM) platform that uses machine learning to unify and clean fragmented enterprise data. It employs AI agents and human-in-the-loop oversight to resolve entities and create a single, authoritative 'golden record' for business entities.
The platform is designed for organizations that manage data silos across CRM, ERP, and other operational systems. It provides specific data products for mastering customers, suppliers, healthcare providers, and product catalogs.
By identifying duplicate or inconsistent records, Tamr supports workflows such as Customer 360 and supplier management. It is intended to provide a more agile path to data quality than traditional rules-based MDM systems.
Buyers should confirm how the volume-based pricing model, which is tied to the number of output Tamr IDs, aligns with their data scale.
Key Features
Uses AI and external data to identify and merge duplicate records across different sources.
Combines AI agents with human oversight to support data curation.
Standardizes and enhances data using third-party sources.
Helps make mastered data available in operational systems.
Connects people and organization data to identify relationships between entities.
Maintains a history of changes to records for auditing and compliance.
Use Cases
Unifying B2B and B2C customer data across multiple platforms to create a unified view of the customer.
Consolidating supplier information to help manage supply chain risk and spend.
Connecting fragmented records between different operational systems.
Deduplicating and standardizing provider rosters to support compliance and efficiency.
Creating golden records for product information across spreadsheets and ERPs.
Best For
Integrations
Pricing
Tamr uses a subscription model that includes a platform fee and at least one data product, plus a volume-based consumption fee calculated by the number of output Tamr IDs (golden records).
FAQ
It means AI is built into the core platform for functions like entity resolution and schema mapping, rather than relying on static, manual rules.
Tamr uses a subscription model consisting of a platform fee and volume-based fees calculated by the number of output Tamr IDs (unique golden records).
It is designed for mid-market and enterprise companies, specifically those in financial services, healthcare, manufacturing, and retail.
No, the platform includes a user interface that allows business users and data analysts to use it without coding or machine learning backgrounds.
Source category: Data & Analytics
Source subcategory: Data Quality
