AI TOOL PROFILE
Tamr | AI-Native Master Data Management
- Data and Analytics
- Data Quality
- 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).
At a glance
- Best for
- Mid-market companies, Enterprise companies, Data and analytics teams, Business operations professionals
- 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
- Visit Tamr official website
How AI is used
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
Entity Resolution
Uses AI and external data to identify and merge duplicate records across different sources.
Agentic Data Curation
Combines AI agents with human oversight to support data curation.
Data Enrichment
Standardizes and enhances data using third-party sources.
Tamr RealTime
Helps make mastered data available in operational systems.
Enterprise Knowledge Graph
Connects people and organization data to identify relationships between entities.
Data Lineage
Maintains a history of changes to records for auditing and compliance.
Use Cases
Customer 360
Unifying B2B and B2C customer data across multiple platforms to create a unified view of the customer.
Supplier Data Mastering
Consolidating supplier information to help manage supply chain risk and spend.
CRM and ERP Unification
Connecting fragmented records between different operational systems.
Healthcare Provider Mastering
Deduplicating and standardizing provider rosters to support compliance and efficiency.
Product Data Standardization
Creating golden records for product information across spreadsheets and ERPs.
Integrations
- S3
- GCS
- ADLS2
- Snowflake
- BigQuery
- AWS
- Azure
- Google Cloud
FAQ
What does 'AI-native' mean in the context of Tamr?
- It means AI is built into the core platform for functions like entity resolution and schema mapping, rather than relying on static, manual rules.
How is Tamr priced?
- 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).
Who is the ideal buyer for Tamr?
- It is designed for mid-market and enterprise companies, specifically those in financial services, healthcare, manufacturing, and retail.
Does Tamr require a data science team to operate?
- 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
More tools in Data & Analytics
Other published listings in the Data & Analytics category.
More tools in the Data Quality software type
Related listings that share the same software type for comparison and shortlisting.
