Solving the Most Complex Data Challenges in Consumer Goods
Solving the Toughest Data Challenges in Consumer Goods
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
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.
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
- 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
Learn more about DataOps: Where and How to Start
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.
See Tamr in Action
Schedule a demo with one of our experts to learn how Tamr can help you transform your business
