Algo
Analytics
Financial auditing guidance that turns ledger noise into investigable signals — analytical procedures and anomaly detection, taught the way fieldwork actually runs.
“The expectation-model module stopped our team from chasing every revenue spike. We now document a threshold first, then investigate — and our review notes finally match how partners think.”— Minseo Park, senior associate, mid-tier assurance practice in Seoul
Programs
Courses built around signals, not slide decks
Each program pairs procedure design with anomaly triage so you leave with worksheets you can drop into an engagement file.
Signal Desk Foundations
Flagship path covering analytical procedures, expectation models, and anomaly investigation for substantive testing.
Ratio Drift Clinic
Short clinic on margin, turnover, and cash-conversion drift that often hides cutoff and classification issues.
Journal Entry Heatmaps
Practical patterning for unusual posters, weekend entries, and round-amount clusters without drowning in false positives.
Why Algo Analytics
What changes after a course
Expectation models you can defend
Build revenue, cost, and balance expectations from operational drivers — then write the rationale a reviewer will accept.
Anomaly queues with priorities
Rank outliers by risk, not by how dramatic a chart looks. Learn when a spike is seasonality versus a control failure.
Documentation that survives inspection
Templates align with how Korean engagements present analytical evidence to EQCR and external quality reviewers.
Map your next engagement cycle
Tell us the industry and tools your team uses. We will recommend a course track or a short briefing — no sales script, just a clear next step.