Auditing with Data Analytics

In today’s complex and competitive business landscape, organizational leaders must navigate data-driven environments to make strategic decisions effectively. The field of data analytics has become pivotal in management, particularly for auditors who need to leverage statistical techniques for informed decision-making. The “Comprehensive Data Audit and Advanced Analytics for Fraud Detection and Forensic Analysis” workshop offered by Nakala Analytics aims to provide a deep understanding of data analysis, pattern recognition, anomaly detection, and information extraction for audit purposes.

Through the course, you will explore the competencies required for effective data-driven audits, apply analytics and statistical techniques in auditing, and learn how to effectively disseminate findings throughout the auditing process. By the end of the course, you will possess the skills and knowledge to enhance the efficiency and effectiveness of auditing processes using data analytics, specifically focusing on identifying and combating fraud within organizations. Active participation and engagement are encouraged throughout the course.

Learning Outcomes:

1. Understand data auditing fundamentals, including objectives and methodologies.
2. Apply data analytics to detect and analyze fraudulent activities.
3. Develop proficiency in forensic data analysis and digital evidence recovery.
4. Communicate audit findings effectively through reports and presentations.

Note:

Prior knowledge of basic data analytics concepts will be better for your understanding. If you need to gain a foundation in data analytics basics, we recommend taking the “Data Science Crash Course for Business” offered by Nakala Analytics. This course will provide you with the necessary basic knowledge and skills in data analytics to fully benefit from and engage in the comprehensive course on data audit and advanced analytics for fraud detection and forensic analysis. Link: Data Science Crash Course for Business

Course Duration: 4 weeks

Week 1: Introduction to Data Audit and Fraud Detection

• Introduction to data audit and its importance in fraud detection
• Understanding the objectives and methodologies of data auditing
• Exploring different types of fraud and their impact on organizations
• Overview of data analytics techniques for fraud detection

Week 2: Data Analytics Tools and Techniques for Fraud Detection

• Introduction to data mining and visualization tools for fraud detection
• Statistical analysis techniques for identifying anomalies and patterns in data
• Machine learning algorithms for fraud detection and predictive modeling
• Ethical Considerations in data analytics and fraud detection

Week 3: Forensic Data Analysis and Digital Evidence Recovery

• Introduction to forensic data analysis and its role in fraud investigations
• Techniques for data reconstruction and validation in forensic analysis
• Identification and recovery of digital evidence in fraud cases
• Legal and ethical considerations in handling digital evidence

Week 4: Reporting and Communication of Audit Findings

• Developing effective fraud risk assessment frameworks
• Generating comprehensive reports on data audit findings
• Presenting audit findings to stakeholders, management, and legal entities
• Enhancing data-driven decision-making through effective communication

Training Methodology

This training course will combine instructor-led presentations with interactive discussions between participating delegates that relate to their interests. It is presented very hands-on to suit individuals with varying levels of knowledge and experience. In addition, practical exercises, video material, and case studies will stimulate and support these discussions to provide maximum benefit to the participants. Above all, the course facilitators will make extensive use of case examples and case studies based on real-life strategic issues and situations in which he has been personally involved.

Course Duration, Location & Investment

1. Duration: 4 Weeks (4 Hours per week).
2. Venue: Remote (Evening Classes & Weekends)
3. Investment: Ksh 23,000 per head / Ksh 40,000 for groups of 2

For more information and inquiries

• Email: corporate@nakala-analalytics.co.ke
• Call: +254778 178 098