Tamr Documentation

Solving Data Quality Challenges with Tamr

You use Tamr projects to address data quality issues that result when siloed data from internal and external sources is integrated.

Tamr software automates core data preparation activities: combine, consolidate, and categorize. In an iterative process, it uses expert input to capture domain knowledge and assure accuracy, and then applies models to make the technology scalable.

To help you achieve different goals for your data, Tamr offers the following types of projects

  • Tamr schema mapping projects align disparate data sources to a unified schema, guided by recommended mappings.
  • Tamr mastering projects match and de-duplicate records into clusters for mastered views of any entity. To complete the process of mastering data records, Tamr golden records projects use attributes in clustered data records to reliably create unique, complete, up-to-date records for entities.
  • Tamr categorization projects create a normalized view of data by applying a meaningful hierarchy to records.

You can then use the clean, unified data that results from one or more Tamr projects to power the analytics, data visualization, business intelligence, and other tools in use by your organization.

Updated 25 days ago



Solving Data Quality Challenges with Tamr


You use Tamr projects to address data quality issues that result when siloed data from internal and external sources is integrated.

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