47. Three practical ways to fast-track the data cleansing process

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

Risk Insights, Yusuf Moolla, Conor McGarrity

59 episodes

9 months ago

This is the final episode of this podcast. It includes: an explanation - why the podcast is coming to a close.snippets from a selection of prior episodesa brief introduction to Algorithm Integrity Matters - the new Risk Insights podcast. About this podcast The podcast for performance auditors and internal auditors that use (or want to use) data. Hosted by Conor McGarrity and Yusuf Moolla. Produced by Risk Insights (riskinsights.com.au).

All content for Auditing with data: for Performance Auditors and Internal Auditors that use (or want to use) data is the property of Risk Insights, Yusuf Moolla, Conor McGarrity and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

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47. Three practical ways to fast-track the data cleansing process

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

9 minutes

4 years ago

47. Three practical ways to fast-track the data cleansing process

In this episode we discuss three simple ways to improve the data cleansing process - easier, faster and higher quality. Find the optimal data source (e.g., don't use a poorly structured dataset)Cleanse iteratively - you may not need all of the fields/columnsImport iteratively - start with a subset of the data and build on that as needed About this podcast The podcast for performance auditors and internal auditors that use (or want to use) data. Hosted by Conor McGarrity and Yusuf Moolla. Pr...