Data Quality Operations Center
Measure, react and reach a 100% data quality score
DQO is an open-source, DataOps friendly data quality monitoring tool with customizable data quality checks and data quality dashboards
SUPERVISE THE DATA QUALITY PROCESS
Assessing data quality requires measuring the quality of data through KPIs and assigning a score to each table and data source.
When a drop in the data quality score is detected, you have to involve multiple parties in resolving the data incident.
DQO handles the entire process from detection to resolution.
Measure data quality KPIs
Calculate data quality KPIs as a percentage of passed data quality checks with data quality dashboards.
Detect and manage issues
Identify data anomalies and schema drifts.
Group issues and track their resolution.
Compare tables
Calculate data quality KPIs as a percentage of passed data quality checks with data quality dashboards.
Identify root causes
Find out why the data quality has decreased. Is it caused by timeliness, completeness, validity, etc.?
DATA QUALITY MONITORING
- More than 140 built-in table and column data quality checks
- Measure completeness, timeliness, validity, consistency, reasonableness, and accuracy
- Create custom checks and rules with Jinja2 and Python
DATA QUALITY MONITORING
- More than 140 built-in table and column data quality checks
- Measure completeness, timeliness, validity, consistency, reasonableness, and accuracy
- Create custom checks and rules with Jinja2 and Python
ANOMALY DETECTION
Automatically observe your data to detect potential data issues as soon as they appear and before anyone else is impacted.
Apply data observability to detect changes in:
- data volume,
- data characteristics min, max, mean and sum,
- missing or not timely data,
- schema drifts.
MEASURE DATA QUALITY KPIs
- Governance, operational, and detailed dashboards
- Build dashboards with a custom Looker Studio Connector
- Prove the quality of the data with numerical KPIs
MEASURE DATA QUALITY KPIs
- Governance, operational, and detailed dashboards
- Build dashboards with a custom Looker Studio Connector
- Prove the quality of the data with numerical KPIs
MANAGE INCIDENT WORKFLOWS
- View, filter and manage the incidents
- Assign issues to respective teams
- Automate incident notifications
Why DQO
CUSTOM DATA QUALITY DASHBOARDS
Create custom data quality dashboards thanks to access to the personal data warehouse.
ANALYZE PARTITIONED DATA
Monitor tables at any scale using incremental data quality checks at a partition level.
CUSTOM RULES
Define a custom inventory of approved data quality checks, shared by the data quality team.
DEVOPS FRIENDLY
Store data quality definitions in Git, and run checks from your data pipelines.
how it works
Connect data sources, start monitoring your data
and measure data quality with KPIs.
