Data anomalies

You can use the Anomaly Test feature to run anomaly tests on their organizations data to identify data items which do not conform to an expected pattern of the dataset. For example, data entries that are considerably different from the remainder of the data. You can run the anomaly tests for individual activities and scheduled to run daily, weekly, monthly, yearly, bi-weekly, bi-monthly, quarterly, or four-weekly.

Data anomaly tests
You can use the Anomaly Test feature to run anomaly tests on their organizations data to identify data items which do not conform to an expected pattern of ...
Mon, 11 Mar, 2024 at 10:20 AM
Running a data anomaly test on non-interval data
You can configure non-interval tests to scan for data anomalies. This test scans for duplicate entries, overlapping dates, and compares the previous year’s ...
Thu, 14 Mar, 2024 at 3:18 PM
Viewing and managing data anomaly tests
You can use the Data Anomalies analysis section to check for and correct duplicate data and date overlaps, and compare the input quantity from one period to...
Mon, 11 Mar, 2024 at 10:20 AM