FORECASTING AND FORENSIC ANALYTICS (4 Credits)

Learning Outcomes :

On successful completion of this course, student will be able to: LO1 – define The foundational concepts of the Data Sleuth Process, including its necessity, considerations, and key methodologies; LO2 – explain How to identify and evaluate relevant data sources and apply data processing techniques to enhance forensic accounting investigations; LO3 – analyze Assess case plans and findings to identify potential risks, improve client communication strategies, and ensure effective testimony preparation; LO4 – utilize Risk-based analysis and standard Data Sleuth techniques, including comparative and payroll analyses, to detect anomalies and fraud indicators; LO5 – interpret The outcomes of real-world Data Sleuth cases to identify common pitfalls and recommend strategies for avoiding similar issues; LO6 – design Comprehensive Data Sleuth Process framework tailored for an organization’s forensic accounting needs, incorporating risk indicators, communication protocols, and process expansions.

Topics :

1. Building a Data Sleuth Team;
2. The Data Sleuth Process;
3. The Data Sleuth Necessity;
4. Data Sleuth Considerations;
5. Client Communication and Involvement;
6. The Data Sleuth Case Plan;
7. Risk-Based Analysis;
8. Data Sources and Data Processing Techniques;
9. Standard Data Sleuth Analyses: Comparative Analysis and Source and Use Summaries;
10. Standard Data Sleuth Analyses: Interesting Data Findings, Risk Indicator Analysis, and Payroll Analysis;
11. Findings, Reports, and Testimony;
12. Practice the Data Sleuth Process;
13. Data Sleuth Expansion;
14. Benford Law in Forensic Analytics Process.