Make Better Decisions with Enhanced Analytics
Broaden visibility by breaking through data quality and data preparation bottlenecks.
Tamr combines machine learning software and world-class data science expertise to provide insights that help some of the world’s largest brands drive savings, optimize spend, and reduce risk – using all of their relevant data.
See how simple analytics can be with Tamr.
Driving Smarter Analytics at Some of the World’s Largest Brands
Better Decisions Through Better Data
Uncover Valuable Insights
Answer questions you could never ask and add deeper context to existing analytics.
Easily adjust existing taxonomies and add new data sources.
Create a Repeatable Process
Answer questions continuously, even as data changes, with reusable data infrastructure.
Tamr for Clinical Analytics offers a scalable, replicable process for turning trial data from a tangled web of standards, versions, and formats into clean, integrated data that can be used for downstream analytics. With Tamr, companies can better leverage their existing clinical knowledge and investment, while minimizing time and effort spent on data preparation
Tamr’s Customer Analytics solution uses collective human insight and machine learning to create a comprehensive, 360-degree view of your customers using all internal and external enrichment sources. Whether your goal is to better identify up-sell opportunities or reduce churn, Tamr enables analysts to spend less time preparing data and more time developing a deeper understanding of customer behavior.
Hear how Tamr breaks through data quality and data preparation bottlenecks to deliver better answers, faster – using all of your available data
Sean Collins, CEO at Cinch Financial
Tamr allowed us to bypass a painful manual data cleansing process. [With Tamr] I saw a very scalable solution for us which is to ingest that data into the Tamr system and have our own people teach it to match things.
Rob Nazzal, CEO at Custom Automated Prosthetics
By being able to throw our data into Tamr, have the data be integrated, and let someone curate the information appropriately without having to build a lot of technology was a huge win for us and accelerated a core project in our pipeline by 6 months.