| Tamr |
Tamr uses machine learning algorithms to identify and match data from multiple sources, including structured and unstructured data from databases, files, and cloud-based applications. The platform's data matching capabilities enable users to identify duplicate records and reconcile conflicting data, while its data normalisation capabilities enable users to standardise data formats and resolve inconsistencies.
The platform also provides a range of data governance and stewardship features, including data lineage tracking, data quality monitoring, and user access controls. These features enable organisations to ensure data compliance, improve data security, and maintain data privacy.
One of Tamr's key features is its ability to integrate with a wide range of data sources and tools, including popular data warehousing and business intelligence platforms. The platform's data connectors allow users to easily integrate data from different sources, while its APIs enable users to automate data integration and management tasks.
Tamr is used by organisations across a range of industries, including finance, healthcare, and retail, to improve their data management and analytics capabilities. The platform can be deployed on premise or in the cloud, and can be customised to meet the specific needs of each organisation.