Opus (task mining)
Draws task process maps from the tasks your employees record on Windows PCs.
Opus (task mining) and Favus (process mining)
Automated process discovery from recorded desktop tasks and event logs
Automated process discovery builds the map of how work really runs from recorded data rather than interviews and workshops. In Optimus Hive, Favus (process mining) maps end-to-end processes from system event logs, and Opus (task mining) maps each task from the work employees record at their desktops.
What is automated process discovery?
Automated process discovery is the use of software to draw a map of how a process actually runs from recorded data, instead of from interviews and workshops.
Optimus Hive discovers at two levels: Favus from the event logs your business systems write, and Opus from the tasks employees record at their desktops. The two maps come from different data, so each level stands on its own evidence.
Process-level discovery with Favus
Favus (process mining) turns an event log, with a case ID, an activity and a timestamp for each event, into a process map.
See the full set of analyses in Favus process mining software.
Frequency and performance views
Switch the map between how often each path is taken and the average time between steps, with slow transitions highlighted.
The most common path
The path most cases follow is highlighted, and you can animate the flow of cases across the map.
Filters on every view
Narrow any view by date range, variant and minimum frequency.
A process dashboard
See cases, events, average and median case duration, the most frequent activities and a histogram of case durations.
Cases and data quality
Open any case to see its event timeline, and check how complete each column is before you analyze.
Scheduled updates
Keep a map current by loading new events on a schedule, every 1 to 1,440 minutes, from any HTTPS JSON API or an approved SQL Server view.
Task-level discovery with Opus
Opus (task mining) builds a task process map from the tasks employees record at their desktops, so you see the steps that no system log shows.
See how Opus task mining software records and maps a task.
Built from recorded cases
Every map comes from real recorded cases, each with its steps, their timing and their duration.
Task boundaries you can correct
Analysts can split, merge or reassign task boundaries when a recording starts or stops in the wrong place.
Separate sources Opus and Favus build their maps from different data. Desktop activity recorded by Opus is not turned into a Favus event log.
Repeated patterns and variants
Opus also finds work patterns that repeat across people and days, and your reviewers accept or reject each one.
Patterns across people and days
Discovery looks across a window of up to 90 days and up to 100 applications to find sequences of steps that recur.
The top variants
Favus lists the top 100 variants with their case count, coverage and average duration.
The products behind automated process discovery
Favus discovers processes from system event logs, and Opus discovers tasks from recorded desktop work.
Favus (process mining)
Turns event logs from your business systems into interactive process maps and dashboards.
Automated process discovery FAQ
Short answers on how process discovery relates to process mining, how to check event-log data and how task boundaries are set.
What is the difference between process discovery and process mining?
Process discovery is the first step of process mining: drawing the map of how a process runs from recorded data. Process mining then analyzes that map, for example where cases wait between steps and which cases leave the most common path. Favus does both, from your event logs.
Can we check the quality of an event log before we map the process?
Yes: Favus previews the raw events and shows, for each column, how complete it is, how many distinct values it holds and which values are most common. That lets your team spot gaps before the process map is drawn.
How does Opus know where a task starts and ends?
Employees start and stop a task recording in Opus, so each recorded case has a clear beginning and end. If a recording starts or stops in the wrong place, analysts can split, merge or reassign the task boundaries.
Map how your work really runs
Request a demo to see a process map from an event log in Favus and a task map from recorded work in Opus.