Baseline
Define useful measures and check the completeness of your data.
Process analytics & operations dashboards.
See where work waits.
Bring process information into a useful view of volumes, delays, exceptions, and the work still waiting for a next step.
Discuss this workflow
Process insightsWhat is process analytics?
Process analytics uses operational records to show how work moves, where it waits, and which exceptions need attention. Automate Africa agrees the metric definitions, checks available data, and builds a focused dashboard or recurring report. A useful baseline helps your team choose a process to improve and assess the result after a change.
A practical path through01 02 03
Built around the next step.
Connect
Collect the agreed events and records from available systems.
Review
Build a clear operational view and a rhythm for acting on it.
Clear scope. Clear ownership.Know what
Know what
you’re building.
The review confirms the scope, access requirements, success measures, and fee before the build begins.
A typical project includes
- Agreed metric definitions and data sources
- A process baseline from available records
- A focused dashboard or recurring report
- Visibility into delays and exceptions
- Data-quality notes and team handover
What to know before we start
Reporting is only as complete as the underlying data. Estimates and missing records are made visible, and any projected improvement must be tested.
A practical exampleHow it could work
How it could work
in your team.
A finance team wants to understand why completed jobs are not ready for invoicing. A process view separates missing delivery evidence, pending approvals, and records ready for finance. The team can see the age and owner of each queue.
What to bring to a workflow review
Bring the decisions you need to make, available records or exports, relevant timestamps, and current metric definitions. We check missing events, inconsistent identifiers, and how frequently the data can be refreshed.
Estimate the value of recovered timeDo we need perfect data to start?
No, but missing and inconsistent records affect what the report can show. The review identifies gaps, labels estimates, and separates reliable measures from questions that need better data collection.
Will the dashboard update in real time?
The refresh schedule depends on the source systems, access methods, volume, and business need. We agree an appropriate cadence and make data freshness visible rather than assuming every source is live.
How do we measure whether automation helped?
Compare the same metric definitions before and after the change, accounting for workload and missing data. Useful measures include handling time, queue age, exception rate, and completed volume.
A clearer way forwardGood work deserves
Good work deserves
a better workflow.
Tell us where things get stuck.
We'll help you find the next step.
