Generate clean, curated, enriched customer data faster than ever before by leveraging purpose-built machine learning models. Say goodbye to long data clean-up projects that quickly go stale.
Minimal Manual Effort
Operations & analytics teams empowered with customer insights
Forrester Consulting study reveals a 643% ROI and total benefits of $8.8 million in three years with Tamr’s cloud-native data mastering solutions. Download Study
What is Tamr
See how data mastering can make your business data-driven.
IDENTIFY DUPLICATES
CREATE GOLDEN RECORDS
ENRICH
UNDERSTAND HIERARCHIES
Usable data. Deliver clean customer records
in the form the business needs them.
You own your customer data. Most external match services and traditional data quality systems use rules to establish unified customer records. The results are often rigid and impractical. With Tamr Cloud, you’re in control of how your customer data is mastered.
1 Identify Duplicates
Leverage purpose build machine learning models to recognize duplicate records across and within data sources.
2 Create Golden Records
Create a complete view of customer information and assign a unique ID as a consistent identifier and single source of truth.
3 Enrich
Built-in pipeline enrichment capabilities to ensure critical customer information such as address, email and URL are kept up to date.
4 Understand Hierarchies
Flexibility to classify customers based on how you manage customers, from sites and sales regions to corporate hierarchies.
Key Features
Tamr ID
A truly Persistent ID achieved through machine learning models that gives a connected, golden record view of customers across systems
Hierarchy Classification
Built-in Enrichment
Built-in capabilities to standardize core attributes such as email, phone, address, geocode & enrich customer hierarchies with external data sources
Accurate, enriched customer data with 80% less effort
Three core components built into the platform
Design
Define the customer view leveraging purpose built models
Review
Discover, view and govern
the clean and curated data
Publish
Share customer data with
downstream systems
Design
Define the customer view leveraging purpose built models
Review
Discover, view and govern the clean and curated data
Centralized view of clean, mastered records with an easy search function to validate results and track records
Publish
Feed to data warehouse for
consumption with a few clicks
Easily share data with end systems and keep
data clean as it changes
Tamr Customer 360
Discovering a Company’s True Customer
Base Amid Dirty Sales Data
Littelfuse validates distributor sales data to achieve
a holistic view of its end customers with machine learning
