Tamr connects and enriches the vast reserves of underutilized internal and external data, allowing enterprises to use all their data for analytics and decision making. Tamr combines machine learning and advanced algorithms with collective human insight to identify data sources, understand relationships and curate siloed data at scale.
Leverage All Data
Organizations have vast, untapped reserves of structured and semi-structured data from internal and external sources. Instead of using just a portion of available data, Tamr lets customers analyze any and all of their sources. As Tamr connects more sources, it gets better, improving accuracy and speed. And Tamr works smoothly with the data tools and experts customers have already invested in.
A Growing Data Challenge
The cost and complexity of preparing the massive variety of internal and external data to power analytics and applications are unacceptably high. As a result, most organizations use less than 10% of the relevant data available. Tamr dramatically reduces the time and effort required to connect and enrich data sources, allowing data scientists, analysts and managers to focus on data-driven innovation.
The Tamr Solution
Tamr starts by analyzing data sources—tens, hundreds, thousands—applying advanced algorithms and machine learning to connect and curate 90% or more of attributes and records. To improve precision, it taps experts with the best knowledge or insight on particular sources. This unique collaborative approach allows Tamr to speed up data connection and preparation and to provide enterprise scalability.
Big Benefits in Little Time
Tamr unleashes the power of 100% of your data. One Tamr customer has connected more than 15,000 data sources in a single view. Another that struggled with slow, manual curation saw Tamr automatically curate 80% of attributes. And a third saw Tamr finish a connecting and enrichment project in 2 weeks that typically takes 6 months.