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Data Quality Monitoring
You can use LogicLoop to monitor data uptime. Your company may already be using tools like Great Expectations, Monte Carlo dbt cloud for data monitoring. In addition, users have found LogicLoop useful to monitor data-driven metrics and external APIs that aren't easily captured by these systems. See below for some examples.
Every 10 minutes, query an API your service relies on. The API can be an external or internal service.
If the request fails, LogicLoop will send you an email notifying you of the failure.
Detect if number of signups on the website has been low, that could stem from data issues.
Send a Slack alert to your team to investigate.
Similarly, you can use LogicLoop to monitor when there's a drop or change in a unit critical to your business.
Digital health companies: monitor a drop in the number of appointments scheduled today.
Recruiting companies: monitor a drop in the number of candidates who were scheduled for interviews today.
E-commerce companies: monitor a drop in the number of orders placed in the past hour.
Ride-share marketplace: monitor the number of rides completed in the past hour.
Select all data that are still processing after a certain amount of time.
Create an Asana ticket for an analyst to review.
Query for fields that should not be
Create a JIRA ticket for an engineer to review.
Query for children objects that are orphaned.
Create a PagerDuty alert for an engineer to review immediately.
LogicLoop can also detect data shifts for your ML model. See a complete list of Data Quality checks supported here.