How much is poor data quality costing you?
Having inaccurate data might lead to operational expenses up to
17500€ / month
Find out how we can help
All of your data validations in one place
Hard coding validation queries into data pipelines and storing them in text files or query editors is unsustainable and does not allow collaboration.
- ✓Centralized application to store data validations for all of your databases.
- ✓Easy collaboration between role-based users in your data teams.
- ✓Dynamic dashboard for an overview of data quality.
No more time wasted on manual data testing
Creating data validations manually and sampling data are not efficient or reliable methods for testing large datasets.
- ✓SQL based test cases for clear expectations about the data.
- ✓Automatically executed validations and alerting.
- ✓Test execution history for additional analysis.
Automated data profilings for insights on data and its quality
Analyze and detect changes in data without any domain knowledge about the data.
- ✓Dynamic rules automatically applied for data objects without having to write any code.
- ✓Anomaly and deviation detection using machine learning.
- ✓Aggregated insights on data and its changes.
Reduced delays by detecting errors as soon as they appear
Constant change in data requires systematic testing and monitoring to detect errors and ensure data quality.
- ✓Prevent negative impact and delays by validating data whenever it is expected to change.
- ✓Automated data quality reporting with detailed information on errors.
- ✓Scheduled testing to trigger emails or webhooks on assertion failures.
Data quality integrated into your internal processes
Use API to execute data validations and get results in any of your internal systems.
- ✓Data validation at any crucial step of your data pipeline.
- ✓Results exported to other internal tools for reporting.
- ✓Automated incident management.
