3 key principles for data and analytics governance within IA (DGIA #3)
Update: 2020-02-16
Description
3 key principles for Data and analytics Governance within Internal Audit (DGIA).
A core set of guidelines that we, as internal audit professionals, can check ourselves against in planning for and using data and analytics.
This is an audio version of this blog article - the 3rd in the DGIA (Data and analytics Governance within Internal Audit) series.
LINKS
- This article (the original written version)
- The first article in the DGIA series
- The second article in the DGIA series
- The Core Principles for the Professional Practice of Internal Auditing, as articulated by the Institute of Internal Auditors. Accessed here, at the time of publication of this article
For more advice on analyzing data for audits, you can find The Data-Confident Internal Auditor on Amazon, with bonus resources available at data-confident.com.
The book aims to demystify the use of data in internal audits through practical, step-by-step guidance.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit riskinsightsblogcast.substack.com
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