In using data for audits, quality assurance of our work is important. In this episode, we discuss:  1.  The four main QA steps<ul><li>Technical QA </li><li>Functional QA </li><li>Business QA (validation) </li><li>Audit QA </li></ul>2. Why we need a QA Plan This is explored in more depth in our book, here: <a href='https://riskinsights.com.au/the-data-confident-internal-auditor'>https://riskinsights.com.au/the-data-confident-internal-auditor</a> About this podcast The podcast for performance auditors and internal auditors that use (or want to use) data. Hosted by <a href='https://www.linkedin.com/in/conorfmcgarrity'>Conor McGarrity</a> and <a href='https://www.linkedin.com/in/yusufmoolla/'>Yusuf Moolla</a>. Produced by <a href='https://www.riskinsights.com.au/'>Risk Insights</a> (riskinsights.com.au).

Auditing with data: for Performance Auditors and Internal Auditors that use (or want to use) data

39. Four Quality Assurance Steps - Data in Audit

The podcast for performance auditors and internal auditors that use (or want to use) data. Produced by Risk Insights. 