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Auditing with data: for Performance Auditors and Internal Auditors that use (or want to use) data
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47. Three practical ways to fast-track the data cleansing process
Manage episode 298937918 series 2801356
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/columns
- Import 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.
Produced by Risk Insights (riskinsights.com.au).
59 פרקים
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
Manage episode 298937918 series 2801356
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/columns
- Import 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.
Produced by Risk Insights (riskinsights.com.au).
59 פרקים
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1 57. Michael Drechnowicz, Head of Internal Audit, TK Elevator 35:06

1 56. Cathy O'Neil, Algorithm Auditor, Author of WMathD 44:06

1 55. Data Science and KNIME with Maarit Widmann 20:36

1 53. The Data-Confident Internal Auditor 23:49

1 51. Performance Audit Mini-Series #4: Conduct/Fieldwork 13:34

1 50. Performance Audit Mini-Series #3 Planning with data 17:58

1 49. Performance Audit Mini-Series #2 Work Program Balance 15:55

1 48. Performance Audit Mini-Series #1 Forward Work Planning 17:59

1 46. Combining data to create risk indicators for audits and risk monitoring/exploration 14:52

1 45. How ANAO uses data in performance audits - with Xiaoyan Lu and Christine Chalmers 19:34

1 44. ESG and Sustainable Investing with Tiina Landau 28:36

1 43. Microsoft 365 Compliance with Erica Toelle 24:59

1 42. Michael DeCero, a Data Professional at TDS with an Internal Audit background 25:58

1 41. Steve Rummel, Senior IA Analytics Manager at CVS Health 34:35

1 40. A CIO/CRO perspective on risk, security and internal audit with Ari Levien 25:54

1 39. Four Quality Assurance Steps - Data in Audit 10:35

1 38. Why We Should Spend Time Preparing Our Data and Checking Quality 13:00

1 37. Using data in performance audit with Gemma Diamond and Morag Campsie (Audit Scotland) 36:05

1 36. Why the audit objective should drive our use of data 20:21

1 35. Stephen McAteer, Performance Audit Data Scientist at VAGO 33:07

1 34. Taka Ariga, GAO's Chief Data Scientist & Innovation Lab Director 35:58

1 33. Ten common areas to focus on when using data for audits 14:59

1 32. Data visualization with Alli Torban 35:25

1 31. Wrapping 2020 Up - learnings, listener feedback, what's coming in 2021 13:31

1 30. John Moore - CTO of Queensland Audit Office 19:32

1 29. Machine Learning Assurance with Andrew Clark - CTO of Monitaur 28:59

1 28. David Haylor - specialist Internal Audit search and selection 28:51

1 27. Improve reporting by answering these questions about your audience 14:59

1 26. Carlos Phoenix on cyber and audit 29:58

1 25. An introduction to Yusuf Moolla 11:07

1 24. Discovery exercises can help de-risk internal audits and performance audits 20:09

1 23. Maximize the benefits of using data within audit 23:25

1 22. Josam Watson - CRO of Tyme and ex-CAE 39:06

1 21. Four ways to approach the use of data for internal audits and performance audits 31:19

1 20. Data related terminology that is commonly misused 27:03

1 19. An introduction to Conor McGarrity 11:49

1 18. Why auditors are moving away from traditional audit software 16:29

1 17. What auditors need to know about using and auditing Artificial Intelligence 18:00

1 16. The power of small data for audits: 5 ways to extract value 16:44

1 15. Using data for audit efficiency outcomes 16:43

1 14. How auditors need to think about Data Governance 20:39

1 13. Open Data for internal audit and performance audit 24:19

1 12. Open Source software for internal audit and performance audit 18:54

1 11. Evaluating and using customer feedback and complaints data for audits 17:26

1 10. Reporting (& timing) - solutions to #5 of the 5 most commonly cited data in audit challenges 12:54

1 9. Superficiality - solutions to #4 of the 5 most commonly cited data in audit challenges 11:15

1 8. False positives - solutions to #3 of the 5 most commonly cited data in audit challenges 13:22

1 7. Low value - solutions to #2 of the 5 most commonly cited data in audit challenges 11:16

1 6. Access to data - solutions to #1 of the 5 most commonly cited data in audit challenges 17:43

1 5. The five most commonly cited challenges when using data for audits (Part 1) 19:16

1 4. Increasing audit value by going beyond the audit report 32:34

1 3. Eight Open Access exceptions - Data used within Internal Audit and Performance Audit 24:08

1 2. Open access to data used within audit and to other static data stores (e.g. data warehouses) 21:10

1 1. Quality - Data within Internal Audit and Performance Audit 13:32

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