Flagship course
Financial Data Integrity Audit
A practiced route through financial auditing guidance for financial data integrity — built for Korea’s reporting and review cycles.
Learning outcomes
- Assess extract quality before analysis begins
- Construct lineage maps from source to disclosure
- Design control tests with documented population logic
- Write findings that separate defect from design gap
- Prepare evidence packs reviewers can re-perform
Informational pricing
Included in Audit Lens (self-paced) and Ledger Guard (cohort). See Pricing for current figures. No payment is taken on this website.
Modules
- Module 1 — Integrity framing Where financial data fails silently: completeness, accuracy, cut-off, and classification in Korean close calendars.
- Module 2 — Extract discipline Query parameters, hash checks, and change logs that keep samples defensible.
- Module 3 — Lineage & reconciliations Mapping flows across subledgers; residual investigation without narrative fog.
- Module 4 — Control testing Designing tests, documenting deviations, and knowing when judgment overrides the checklist.
- Module 5 — Reporting the story Exception write-ups, management responses, and re-performance packs.
Instructor
Yuna Seo
Former Big Four senior manager focused on financial statement audits for Korean listed industrials. Yuna now designs labs that mirror the awkward extracts teams actually receive — not textbook CSVs.
Learner notes
Module 3’s lineage exercise exposed a gap in our intercompany bridge file we had normalized for two years.
Strong framework. Would like deeper SAP-specific screenshots in Module 2.
FAQ
Who is this course for?
Controllers, internal auditors, and finance analytics staff who own reconciliations or support external audit requests. Beginners to accounting will struggle without a colleague to translate journal concepts.
Do I need coding skills?
No. Labs are spreadsheet-first. Optional SQL notes appear in Module 2 for teams that extract via warehouse tools.
What is a real limitation of this program?
We do not certify you under Korean CPA licensing rules, and we cannot review confidential client files. Labs use synthetic or heavily anonymized datasets; your industry nuances (banks, insurers) may need Integrity Studio customization.
How do refunds work?
See our Refund Policy for windows and non-refundable items.