Description

Ataccama is a self-driving data management platform designed for data managers. It enables users to discover, analyze, and understand critical patterns in the data, visualize the frequency, domain, and mask analysis of values, identify duplicate records representing the same entity (customers, patients, products, locations, or others) with deterministic or fuzzy matching rules, monitor and resolve data quality issues, detect irregularities in data loads including data volume changes, outliers, and changes in data characteristics, and explore the dependencies between data attributes. Modules include data discovery and profiling, metadata management and data catalog, data quality management, master and reference data management, and big data processing and data integration.