DvSum - AI Agent powered Data Quality and Data Observability

Описание: DvSum Data Quality and Observability Product automates end to end data quality of your modern data assets from classical master data quality to volumetric transactional data quality, to pipeline observability. Anomaly detection algorithms helps you automate unexpected drifts in data quality or business metrics. It can detect other quality issues like schema changes and drifts, compare schemas, reconciliation across multiple data sources. Built-in LLM-powered AI Agent can root-cause exceptions by analyzing detailed logs, scan the lineage to pin point potential root-cause and trigger creation of a ITSM ticket. Bring next-generation agility into your data quality efforts to not just detect but fix issues faster with DvSum.