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 :
- Building a Data Sleuth Team;
- The Data Sleuth Process;
- The Data Sleuth Necessity;
- Data Sleuth Considerations;
- Client Communication and Involvement;
- The Data Sleuth Case Plan;
- Risk-Based Analysis;
- Data Sources and Data Processing Techniques;
- Standard Data Sleuth Analyses: Comparative Analysis and Source and Use Summaries;
- Standard Data Sleuth Analyses: Interesting Data Findings, Risk Indicator Analysis, and Payroll Analysis;
- Findings, Reports, and Testimony;
- Practice the Data Sleuth Process;
- Data Sleuth Expansion;
- Benford Law in Forensic Analytics Process.
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