Introducing anomalies on sample data and running an owlcheck to see the anomalies.
Using the tool with practical scenarios
Having Well Defined Use Cases
Determine a single table (dataset) that you would like to scan
Have an expectation of what you would expect Owl to find in this dataset
Understand which activities would capture the expected findings
Target internal datasets with known data issues
Historical Comparisons:
If pre-cleaned data is available with data findings that have been cleaned via legacy methods such as internal rules, run these datasets and compare the results from Owl to Internal findings.
Work with data owners to understand findings or review expected findings