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Agenda
Presenter
Successful Audit Data Analytics For Managers Agenda
Seminar: ID# 1005031
Agenda
The Business Case for Audit Analytics
Challenges with traditional audit process
Industry benchmarks/guidance
Success stories and common benefits
Using pilot projects to demonstrate value
Developing the case for investing in audit analytics
What You Should Know, and Questions You Should Be Asking
Which software tools belong in your toolbox and when?
Do your policies and practices support sustainability?
Are you developing analytics for the audit, or developing analytics that support your future and assist the audit?
What role does everyone play in the analytic process?
Visioning Your Potential Use of Audit Analytics
Approaches for integrating analytics across the entire audit process
Identifying key drivers for pursuing DA
Developing short- and long-range goals
Developing a strategic plan for DA implementation
Removing Common Roadblocks
Obtaining “buy-in” from stakeholders
Effective negotiation with IT
Dealing with the “prior audit budget” barrier
Addressing brainstorming ruts
Strategies for outsourced and cloud-based processes
The Human Factor: Managing DA Talent
Planning the optimal skill mix
Organizing the team
Working with internal and external partners
Developing and maintaining data analytics skills
Staffing and workforce planning
Performance management
Enabling creativity
Change Management: Adapting the Audit Process
Scanning for opportunities to automate
Generating and prioritizing analytic ideas
Profiling business data for data quality assessment and process understanding
Data analysis for learning as well as detection
Prototyping business rules for 1st and 2nd lines of defense
Choosing between ad hoc, repetitive and continuous methods
Technology Planning for Now and the Future
Market landscape of major audit analytics technologies
Considerations when choosing analytic software
Multi-year technology roadmap and licensing plan
Integrating the technology “eco-system” for increased value
DA Program Governance
Strategy and implementation planning
Data governance: the right data at the right time in the right format
Prioritizing the analytics portfolio
Developing KPIs and measuring program performance
Policies, procedures and user enablement
Management and Oversight of the Analytic Development Cycle
Management’s role in analytic development process
Analytic planning and design
Data access and validation
Coding and script development
Testing/quality assurance (QA)
Implementation and optimization
Process differences for ad-hoc vs. continuous testing
Advancing Your Program’s Maturity to the Next Level
Maturity models and benchmarking
Leveraging available resources
Tactical planning to ascend maturity levels
Evolving to Continuous Assurance
Continuous auditing vs continuous monitoring
Strategy considerations
Effect on audit process
Changes to data extraction and analytic logic
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Successful Audit Data Analytics For Managers
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