Filter Setting in the Analyzer and Dashboard
Overview
Every serious analysis starts with a carefully selected data subset. The Filter Bar, hidden behind the ☰ icon in the upper‑right corner, is the control centre for this task. Clicking it rolls out a drawer that lists all available filters in two groups.
- Default Filters are shipped with every dimension and are therefore present in each tab. They typically cover timestamps, variants, and violation types.
- User‑Specific Filters originate from custom case properties that you mapped during data import in the Builder. Examples might include Region, Customer Segment, or Status Values.
To add a filter, browse or search the catalogue and click the + symbol next to the desired entry. A short tooltip (ℹ️) reminds you of the exact business definition so misunderstandings are avoided. As soon as a filter is selected it appears in the filter bar, where you choose its operator and value range. The Apply button turns blue, signalling that new criteria are waiting; press it and the entire workspace refreshes. When the button greys out again you know the view is up to date.
Large analyses benefit from screen space, so you can temporarily collapse the list with ⇵ Minimise Filters or hide the whole panel by closing the drawer. The number badge on the ☰ icon keeps count of active filters, gently reminding you of the current scope.
List of Default Filter Types
| Name of Filter | Description |
|---|---|
| Start timestamp | The date range filter can be used to select specific time periods (from-to) in the data that are related to the creation timestamps of activities. |
| Change timestamp | The date range filter can be used to select specific time periods (from-to) in the data that are related to the change timestamps of activities. |
| Cycle time | The cycle time filter divides the data into three time periods: short lead times (S), medium lead times (M) and long cyle times (L). |
| Violations | The violation filter helps to display either only process instances with or without violations. |
| Batching | The batching filter helps to select process instances that are influenced by other process instances at any point in the process or that converge. |
| Case ID | The dimension ID filter helps you to search for the specific identifier of the data object that is the focus of analysis for this dimension. |
| Activity types | The activity type filter helps to select process instances that contain one or more specific activity types. |
| Variants | The variant filter allows you to select individual process variants or ranges of variants (e.g. top 10). |
| Relationship: From - To | The relationship filter allows you to select process instances that contain at least one specific relationship (e.g. from A to B). |
| Process pattern | The process pattern filter allows you to filter one or any number of different process patterns. For example, you can only select process instances that contain a disarray violation pattern. |
| Start/End points | The start/end points filter lets you filter instances in accordance to either (expected or unexpected) start, end, or intermediate points. |