Tamr Achieves Premier Technology Partner Status With SnowflakeLearn More

Consumer Packaged Goods

Data Mastering at Scale


Solving the Most Complex Data Challenges in Consumer Goods


Solving the Toughest Data Challenges in Consumer Goods

  • Graphic

    Spend Analytics & Procurement

    Create a granular view of your global indirect and direct spend to drive cost reduction; master your suppliers and onboard new ones quickly to build a resilient supply chain; master you parts to identify duplicates and alternates

  • Graphic

    Customer 360

    Create a consistent customer experience and drive brand loyalty by merging PII based records into a single customer view, to drive market segment building, LTV analysis, and support cross-sell, up-sell activities.

  • Graphic

    Product Rationalization

    Remove blind spots in inventory and distribution and drive informed decisions by classifying SKUs at a granular level, including data about distributors and retailers, to drive new insights about product sales and performance.

Proven Results

Consolidated suppliers and parts data from 75+ ERPs (25M+ records), enabling $30M+ in savings in year 1
$300M in cost savings from direct spend through parts and supplier mastering
Mastered customer data across 50 countries and 250+ data sources to drive sales and marketing initiatives
Enhancing Data Operations for the World's Largest Organizations
  • 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

The only data mastering solution offering cloud-native, on-premise, and hybrid deployments


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 PowerBI and Tableau, or directly to data analysts and engineers for business intelligence and other data programs.


Watch a 30-minute recorded demo to learn how Tamr's next-gen MDM solution helps companies across industries get clean, curated and comprehensive data.

See Tamr in Action

Schedule a demo with one of our experts to learn how Tamr can help you transform your business