Description:
Transform your audits and analytical skills to high gear. This course concentrates on the science and art of discovering and analyzing patterns, identifying anomalies, and extracting other useful information in data underlying or related to the subject matter of an audit through analysis, modeling, and visualization while planning or performing audits. The course is also applicable to financial managers and program evaluators looking for patterns and correlation, cause and effect relationships, impact analysis and possible fraud assessment.
Duration:
3 days
Level:
Intermediate
Who Should Attend?
Auditors, financial managers and program evaluators with three years of experience and seasoned professionals with limited exposure to the subject matter.
Prerequisites:
AUDT7900
Credits:
1.8 CEU's, 24 CPE's
Learning Outcomes:
Explain the importance of data analytics in auditing
Identify patterns and outliers for audit
Describe the difference between structured and unstructured data
List difference of common data analysis tools
Establish "reasonable assurance" that audit data can be used to service the audit objective
Describe and comply with federal law and agency regulations
Satisfy Government Accountability Office (GAO) standards for data validity, reliability, and integrity
Discuss multiple tools, including descriptive statistics, Benford's Law, correlation, etc
Describe the auditees technology environment
Define detail data requirements
Obtain data (Extract, Transform and Load (ETL) process)
Perform data and statistical analysis techniques
Evaluate results of data analysis
Document results
Apply data visualization
No sessions scheduled
Other Recommended Courses:
AUDT8112
AUDT7900
AUDT8027
AUDT7011
AUDT9012
