Bigeye Reviews

Bigeye Description

Bigeye serves as a robust data observability platform, empowering teams to assess, enhance, and effectively communicate data quality across all scales. A data quality incident that leads to an outage can significantly diminish the organization’s confidence in its data. Through proactive monitoring, Bigeye aids in re-establishing that trust by identifying missing or incorrect reporting data before it reaches the executive level. It also provides alerts regarding issues in training data prior to models undergoing retraining, thereby alleviating the nagging uncertainty that arises from believing that most of the data is generally accurate most of the time. It's important to recognize that pipeline job statuses may not convey the complete picture; thus, continuous monitoring of the actual data is essential to ensure its suitability for use. By keeping tabs on dataset-level freshness, organizations can confirm that their pipelines operate as intended, even in the event of ETL orchestrator failures. Additionally, users can track modifications to event names, region codes, product types, and other categorical information, while also identifying fluctuations in row counts, null values, and blank entries to guarantee that data is being populated as anticipated. In this way, Bigeye helps maintain a high standard of data integrity, ensuring reliable insights for decision-making.