After every data load into your analytics platform, even though ETL runs successfully, how can we be sure data in analytics platform reconciles with source system? 4DAlert’s AI/ML based API solution reconciles data between analytics platform and source systems and certifies the accuracy of the data. This helps to detect and alert before users complain about the data.
4DAlert’s data observability module identifies and helps you troubleshoot and work to avert data-related issues across all data platforms within your analytics landscape. The solution leverages machine learning to generate adaptive rules and criteria, helps identify the root causes of the issues and fix systemic problems.
4DAlert’s data observability module identifies and helps you troubleshoot and work to avert data-related issues across all data platforms within your analytics landscape. The solution leverages machine learning to generate adaptive rules and criteria, helps identify the root causes of the issues and fix systemic problems.
In built AI/ML module leverages pre-built rule catalog to check data quality issues such as blank vs non-blank, unique vs non-unique, outlier detection, enumeration check, range check, address check, duplicate checks etc and calculate overall data quality index for the enterprise.
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