Data Quality

Data quality is a critical aspect of any organization or system dealing with information. It refers to the accuracy, completeness, consistency, reliability, and relevance of data for its intended purpose. High-quality data ensures better decision-making, enhances operational efficiency, and builds trust in data-driven processes. It allows you to be used to define, monitor, and analyse data quality. An extensive interface to define rules ranging from basic attribute checks to complex SQLs.

It comes with an automated profiler of data quality. Quality checks are conducted on non-structured data components. Maintaining data quality involves practices like data validation, regular audits, and cleansing processes. It is essential for ensuring the integrity and usability of information.

Automated scheduled runs. Fully-fledged dashboards that are integrated with test suits such as JIRA to bring up questions about data quality.