Slicing enables you to monitor your data across groupings, or slices, that represent the organization of your business. For example, suppose you have a table with sales data and you have region column that represents the four sales regions: north, south, east, and west. You can create an unsliced metric that measures all sales, or you can create a sliced metric that slices sales by region. In this example, your slice column is region and the slices are north, south, east, and west. Lightup automatically and dynamically detects the slices, adding new ones as they appear. It tracks each slice as an individual metric, and generates incidents for each.
You add a slice column on the Configure Metric tab of a metric.
- From the Slice column (optional) drop down, select the column to be used as your slice column. Note: this column should be a categorical column - it doesn't make sense to slice by a non-categorical column.
- By default, all slices are monitored. Click on the gear icon to open the Slice options panel where you can exclude or include specific slices.
Most metrics support a single slice column, but there are some exceptions.
- If you want to use slicing in a row by row metric, you'll provide two slice columns, one for the source and one for the target.
- A compare aggregates metric can't have a slice column because it compares metrics. Instead, the underlying metrics can have their own slice columns.
- Data delay metrics do not support slicing.
Updated 9 days ago