OprivoTechInteractive automation case
Data Quality Monitor
Automatically flags data quality issues as they appear.
Data Quality Monitor
Interactive scenarios
Choose an input and watch the workflow reach a controlled result.
Input
A complete and valid request enters “Data Quality Monitor”. Automatically flags data quality issues as they appear.
AI analysis
The workflow validates the input, checks context, and evaluates confidence.
Decision
Proceed automatically
Result
The “Data Quality Monitor” workflow validates the data, completes the expected actions, and records a traceable result.
Workflow
Live execution
Trigger
Event Detected
An incoming event is picked up for review.
Processing
Rules Checked
The event is checked against the rules that define a problem.
AI
AI Intent Analysis
AI analyzes the incoming item and decides what should happen next.
Notification
Alert Sent
An alert is sent out so the team can act on it.
01
Business problem
Data quality issues are usually only found during a manual audit, well after they start.
02
How the automation works
Incoming events are checked against the rules that define a problem, AI reviews the borderline cases, and an alert is sent out when one qualifies.
01
Event
02
Rules Check
03
AI Analysis
04
Alert
03
Expected business impact
Data quality issues are flagged as soon as they appear.
04
Who it is for
Data and analytics teams.
Build this workflow for your business
We can adapt this automation to your tools, rules, data, and approval process.