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

58. The final episode

57. Michael Drechnowicz, Head of Internal Audit, TK Elevator

66. Hassan Jan, Senior Audit Manager, Fidelity Canada

65. Snippets from a discussion with NYC Deputy Comptroller for Audit - Maura Hayes-Chaffe

56. Cathy O'Neil, Algorithm Auditor, Author of WMathD

63. Clips from a discussion with Michael Pickup, Auditor-General of British Columbia (Canada)

62. Clips from a discussion with Patrick Barr, Director, Northern Ireland Audit Office

61. Clips from a discussion with Kelsey Thompson, Assistant City Auditor, Austin TX

60. Clip from a discussion with Mike Scott, an audit leader

59. (From "The Rundown") Evaluating the Kansas Department of Labor’s Response to COVID-19 Unemployment Claims (Part 2)

58. Clips from a discussion with Mark Funkhouser - Performance Auditor, Mayor and Educator

57. Clips from a discussion with Scott Frank, Director of Performance Audit and IT Audit, Washington State Audit Office

56. Show Update

55. Data Science and KNIME with Maarit Widmann

54. Analysis

53. The Data-Confident Internal Auditor

52. Simplicity

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

50. Performance Audit Mini-Series #3 Planning with data

49. Performance Audit Mini-Series #2 Work Program Balance

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

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

46. Combining data to create risk indicators for audits and risk monitoring/exploration

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

44. ESG and Sustainable Investing with Tiina Landau

43. Microsoft 365 Compliance with Erica Toelle

42. Michael DeCero, a Data Professional at TDS with an Internal Audit background

41. Steve Rummel, Senior IA Analytics Manager at CVS Health

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

39. Four Quality Assurance Steps - Data in Audit

38. Why We Should Spend Time Preparing Our Data and Checking Quality

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

36. Why the audit objective should drive our use of data

35. Stephen McAteer, Performance Audit Data Scientist at VAGO

34. Taka Ariga, GAO's Chief Data Scientist & Innovation Lab Director

33. Ten common areas to focus on when using data for audits

32. Data visualization with Alli Torban

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

30. John Moore - CTO of Queensland Audit Office

29. Machine Learning Assurance with Andrew Clark - CTO of Monitaur

28. David Haylor - specialist Internal Audit search and selection

27. Improve reporting by answering these questions about your audience

26. Carlos Phoenix on cyber and audit

25. An introduction to Yusuf Moolla

24. Discovery exercises can help de-risk internal audits and performance audits

23. Maximize the benefits of using data within audit

22. Josam Watson - CRO of Tyme and ex-CAE

21. Four ways to approach the use of data for internal audits and performance audits

20. Data related terminology that is commonly misused

19. An introduction to Conor McGarrity

18. Why auditors are moving away from traditional audit software

17. What auditors need to know about using and auditing Artificial Intelligence

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

15. Using data for audit efficiency outcomes

14. How auditors need to think about Data Governance

13. Open Data for internal audit and performance audit

12. Open Source software for internal audit and performance audit

11. Evaluating and using customer feedback and complaints data for audits

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

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

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

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

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

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

4. Increasing audit value by going beyond the audit report

3. Eight Open Access exceptions - Data used within Internal Audit and Performance Audit

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

1. Quality - Data within Internal Audit and Performance Audit

0. Introduction