Automated regulatory reporting
and student tracking.
Critical dashboards tracking student enrolments, admissions, and completions across research programmes — automating regulatory dataset compilation and reducing manual submission preparation.
Manual tracking made every regulatory cycle a fire drill.
Manual tracking of enrolments and completions hindered timely regulatory reporting. Submission packs required significant manual preparation, and exceptions were difficult to surface quickly — putting compliance and resourcing under unnecessary pressure each cycle.
Automated datasets, transparent lineage, controlled exceptions.
Built critical dashboards tracking student enrolments, admissions, and completions across research programmes — with regulatory datasets compiled automatically and exceptions surfaced for case owners.
Automated dataset compilation
Regulatory datasets pulled from source systems on a repeatable, scheduled cadence — replacing manual extracts.
Student tracking dashboards
Enrolment, admissions, and completion tracking across research programmes — giving management oversight before submission cycles.
Field-level lineage
Clear lineage for every reported field — enabling traceability and faster validation.
Exception highlighting
Issues flagged to case owners so they can resolve them before each regulatory submission.
Regulatory reporting that runs on schedule, not on heroics.
Cloud data warehouse compiles datasets from source systems automatically; Power BI surfaces submission-ready views and exception lists — submission packs generated consistently across cycles.
From manual scramble to controlled regulatory cadence.
Automated compilation
Regulatory datasets pulled from source systems on schedule.
Less manual prep
Submission packs generated consistently across cycles.
Accuracy with lineage
Every reported field traceable end-to-end.
Resolved exceptions
Case owners act on flagged issues before each submission.