Session 1: Introduction

• General introduction to data analytics
• What are your organisation’s strategy and goals for data analytics?

Session 2: Internal audit and data analytics

• The internal audit context
• The impact on planning
• Changing your approach
• The opportunity for internal audit
• Challenges of collecting information
• How to infer linkages
• Patterns and analysis

Session 3: Data mining issues

• Issues with data
• Data cleansing
• Data completeness
• Data reduction
• What does the answer mean?

Session 4: Data mining process

• Defining the Internal Audit Requirement
• Designing data collection
• Process design
• Stages
  • Exploration
  • Design and validation
  • Deployment

Session 5: Analysis of Processes

• Record to Report
• Purchase to Pay
• Order to Cash
• Hire to Retire

Session 6:  Issues and Examples

• When is the technique of greatest value?
• Examples of good practice
• Thinking before you start
• Dealing with disparate systems
• Key areas for application
• Application in treasury
• Parameters and false positives
• Discounts and supplier activity
• Fraud detection

Session 7: Case Studies and Relevant Examples 

Session 8: The Future and Impact of Machine Learning and Artificial Intelligence

Session 9:  Summary, Discussion, and Q&A

• Understand where to use data mining techniques within internal audit.
• Recognise how to build this into an effective internal audit approach.
• Investigate data mining approaches and what can be found in practice.
• Use Data Mining as a tool to search information from a multitude of sources, leading to investigation and preparation of audit findings.

=Delegates who complete the course will receive a Certificate with equivalent CPD/CPE credits via email; and for those who require an assessment as a demonstration of competency via training a 20 multiple-choice questions and answers quiz, remotely invigilated with results report and 1 resit, is available at no additional charge when requested at time of reservation.

Highly interactive expert-led intensive presentation, Q&A, group real-time in-depth case studies, regulation and discussion supported by key principles and theory. The virtual learning platform uses safe, industry preferred encrypted Cisco WebEx to optimize live face-to-face visual interaction, discrete chat, for polling and quizzes.

(An invitation via email with access link is included for all participants.)