* All fees are exclusive of vat
** PREMIUM - Customize your learning experience
This data analysis course includes identifying wherein the entire Internal Auditor lifecycle data is relevant, through to the steps needed to build the data capability within your function. We will share with you experiences and case studies.
What Do Participants Learn?
Reliability with your stakeholders
Turn your knowledge into practical actions
Creative and forward-looking insights
Ability to address risk indicators rather than delay.
Who Should Attend?
Any member of an Internal Audit function who is keen to embed data analytics within the audit.
Members of Audit Committees,
Members of Finance and the business who are fascinated with how data can transform audit/compliance functions.
What Will the Learning Experience Include?
Comprehensive pre-program activities include:
Web-based information forms & surveys completed by attendee.
Direct consultation with the attendee about the expectations.
During the training, participants engage in data, activities, and conversations that lead to insight and knowledge.
Participants learn from expert trainers who have both academic and business experiences.
Highly applicable training content & instructive activities for adding depth to training topics.
**A half-day site visit for integrating the experience & plan next steps. Opportunities to provide connections, ideas & support.
Explore & Practice
Apply & sustain the learning experience by using this ongoing support:
To ensure participant has new skills or behavior progress.
Optional, fee-based mentoring & coaching with the trainer.
Training materials & additional documents (e-books, pdf files, presentations and articles)
Evaluate your training experience by giving us feedbacks and help us to reach our organizational goals.
Concepts of big data
Transforming data analytics to business
Internal Auditor's function through the use of data and analytics
Use of Data through the Audit Lifecycle
Identify how data analytics can transform all parts of the audit lifecycle, from planning, risk assessment, execution, reporting, and through to monitoring
Recognising the data analytics maturity continuum
Collecting and enriching data can be used for analysis,
Understanding the audit environment better
Identifying risks during the planning
Different types of analytics
Descriptive, predictive, and prescriptive analytics
Analytical techniques to auditing a business process
The use of advanced analytics, such as machine learning, within audit testing
How to build the strategy around a data-enabled Internal Auditor function, considering people, process and technology
The Landscape of tools applicable to data auditing
Methods to create impact and the business case for data analytics
Identify areas within your existing IA function that can be improved via data analytics