The operating problem
A long case workflow can hide where delay really happens. If leaders only see total cycle time, they cannot separate intake issues, officer workload, document quality, approvals or external dependencies. The analytic job is to make the process inspectable without exposing sensitive individual details.
Before
Long cycle times were visible, but stage ownership, queue aging and bottleneck patterns were harder to separate quickly.
After
Stage-level dashboards made workload, aging, throughput and escalation points easier to review and act on.
Architecture blueprint
Case eventsStatus dates, stage movement and officer queues.
SQL modelCycle-time measures and stage aging logic.
Quality layerMissing dates, outliers and duplicate checks.
Power BIBottleneck and throughput dashboards.
ActionEscalation, workload review and donor KPI reporting.
Decisions enabled
- Which stage is adding the most delay this month?
- Which queue needs escalation before service-level targets are missed?
- Which delays are internal workflow issues versus external dependencies?
- Which donor KPIs can be reported with more confidence?