Data Analytics & Continuous Monitoring Training
Transitioning QSR audit fieldwork from 20-invoice samples to automated population analytics
60% reduction in sample fieldwork testing cycle — Automated POS-to-inventory reconciliation deployed — 100% population coverage across QSR store network
Employer names are on the career record. This page uses the industry field and the stored figures.
Audit Scope & Outcomes
A leading Quick Service Restaurant (QSR) player in KSA relied on manual sampling for audits, limiting coverage and leading to high false positives. The traditional, compliance-centric audit team lacked the technical capability to automate testing.
Equip frontline internal auditors to write and execute automated data tests against raw ERP ledgers and point-of-sale datasets, eliminating reliance on manual spreadsheet sampling.
Trained the audit team on direct ERP query extraction (Oracle/SAP), scripting continuous controls monitoring in Python, and building deterministic anomaly models to reconcile point-of-sale till receipts against store inventory consumption and vendor disbursements.
The team built internal automated tests across vendor disbursements and store recipe yields, eliminating manual 25-sample vouchers, cutting fieldwork testing cycles by 60%, and surfacing recurrent inventory and billing variances directly to the Audit Committee.
Auditors who rely on manual samples are blind to systemic operational leakage. Training teams to interrogate raw transaction populations bridges the gap between store-level till receipts and board-level financial integrity.
Capability. The stored figure is the 60% fieldwork-cycle cut.