Description
In this course, Claire will give insights into how to avoid pitfalls when managing data analytics projects for audit. How can you avoid having reports with numbers that do not make any sense in them? How can you be sure to get the data in time? How can you be sure that your analysis is relevant?
Learning Objectives
- Take part in a case study to help assess how a data audit went wrong
- Get templates on how to structure and archive data analytics projects
- Get templates for data extraction requests and understand how this part of the process can get you in deep water
- Understand the importance of reconciliation
- Get checklists on code review, report reviews, and best practices and standards






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