What You Will Learn
1. Business Case for Audit Analytics - industry benchmarks/guidance - challenges with traditional audit process - success stories and common benefits
2. Integrating Data Analytics Across the Audit Process - enterprise risk assessment - audit planning - fieldwork and testing - reporting - follow-up and monitors
3. Pros and Cons of Common Data Analysis Tools - generic: MS Excel, MS Access - business intelligence: SAP, SPSS - IT-centric: SQL, Business Objects, Cognos - audit-centric: ACL, IDEA
4. Analytic Development Cycle - program strategy and approach - analytic planning and design - data access and validation - coding/Development - testing/QA - implementation and optimization - process differences for ad-hoc vs. continuous testing
5. Planning for Data Access - understanding various data access techniques - effectively negotiation with IT - data verification procedures - data security and retention
6. Exploring Data Access Options and File Types - native database tools - ODBC - flat/delimited files - adobe PDF reports - unstructured data
7. Common analyses in major business processes - Record-to-Report (R2R) - Purchase-to-Pay (P2P) - Forecast-to-Stock (F2S) - Order-to-Cash (O2C) - Hire-to-Retire (H2R) - Process-to-Application (P2A)
8. Advanced Analytic Design Techniques - complex string comparisons - address comparisons - fuzzy matching techniques - trending - Benford’s analysis - smarter sampling techniques - statistical and regression analysis
9. Verifying Standard Data - employee SSNs - vendor EINs - vendor TINs - zip codes - area codes - address abbreviations - credit card numbers
10. Leveraging External Data Sources - OFAC list - US Postal Service address standards - SIC codes
11. Developing Appropriate Standards - code documentation - requirements definition - data verification - QA and testing - security and archiving
12. Making Analytics Repetitive - scripting and automation - design considerations - automating data access
13. Moving Toward Continuous Auditing - strategy considerations - effect on audit process - changes to data extraction and analytic logic
14. Common Implementation Hurdles - getting management buy-in - dealing with false positives - strategies for disparate systems - international issues - incongruent processes/policies - outsourced IT - external and cloud-based data
15. People and Process Issues - organizing the team - developing and maintaining skills - prioritizing analytics - measurement and KPIs
16. Reporting and Interpreting Results - presenting results in a meaningful way - overlapping results - analytic precision
17. Advanced Topics and the Evolution of Analytics - continuous monitoring - dashboard and visual analytics - score carding - predictive analytics - spatial relationships and mapping
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