Why this knowledge base?
The amount of available data is growing rapidly; and so are clients’ expectations. With data analytics, auditors can identify risks faster, detect errors, and perform audits more efficiently. Yet for many in the audit, it’s still a challenge to get started: where do you begin, which tools should you use, and how do you translate analyses into audit procedures?
This website helps answer those questions; without the need to know how to code or have a data science expertise.
What you’ll find here
The Audit Analytics is practical and hands-on. You’ll find:
- Step‑by‑step guides: From loading data to performing analyses.
- Realistic case studies: Concrete examples from audit practice.
- Tools and scripts: For Excel, Python, and other commonly used analytics tools.
- Accessible explanations: Suitable for both beginners and experienced auditors.
Whether you want to check if all invoices are recorded, identify unusual prices, or analyze inventory risks; you’ll find ready‑to‑use examples and dummy data to practice with.
Get started
The goal is simple: make data analytics understandable and practical. No complex theory, just hands‑on knowledge that strengthens your audit work.
Ready to begin?
