How Is Manual QA of Data Impacting
Your Organization?
- Stakeholders not trusting the data
- Business leaders making poor decisions based on bad data
- Wasted time and money chasing and fixing data issues
- Increased data security and data privacy issues
Data Discovery
Validatar explores and exposes metadata so users can easily find the data they need.
Data Profiling
Validatar makes it as easy to profile your data and share with your end users.
Data Testing
Validatar automates the testing process to improve the quality of your data.
Data Monitoring
Validatar monitors your data to enable proactively responding to data quality issues.
Metadata Monitoring
Validatar ingests and monitors metadata to quickly evaluate and alert you to changes in your data.
Use Cases
- Data Warehouse & ETL Dev QA
- Data Governance
- Cloud Migrations
- Data Quality Monitoring
