In this three-day seminar designed for data analytics practitioners, attendees will learn everything they need to effectively integrate data analytics, or CAATs (Computer Assisted Audit Techniques), into an audit process. You will learn how technology can be used to more efficiently and effectively achieve desired results and brainstorm analytics across most major business cycles. You will learn how to progress from basic analytics into a fully automated/repetitive mode, and learn the basics of Continuous Auditing. We will review common hurdles and hear how the most successful organizations in the world have been able to exploit the power of data analysis to achieve visible and sustainable value.
This seminar provides critical experience and content for the audit analytics practitioner. You will get a chance to see how to align your analytics with your department’s vision for the use of data analysis. You will get the opportunity to work on real-world scenarios with sample data files, and practice designing effective tests and critiquing and QAing the work of others.
As the course progresses, you will move quickly from understanding basic analytic techniques such as stratifications, summarizations, and duplicate identification into more advanced techniques such as fuzzy matching, Benford’s Law, and statistical and regression analysis. You will explore cutting-edge topics such as visual analytics, risk score carding, and spatial analysis. Regardless of the tool you currently use or plan to use in your department - whether generic like MS Excel or MS Access, audit-centric like ACL or IDEA, or more IT-oriented like SQL or SAS - the standard pseudo-code used throughout the course will allow you to easily take what you have learned and quickly code it in your tool of choice. Additionally, you will get hands-on experience working with demo versions of several popular tools, giving you the chance to see first-hand the strengths of each.