Methods in Audit Data Analytics

This course will take learners on a journey examining real-world case studies. We will demonstrate how the use of mind-mapping techniques used in multi-billion-dollar organizations has saved lives. These techniques are still used today to detect fraud, misuse, inefficiencies, and recover funds. Learn how to apply modern-day case studies to audit plans, tests, and other audit components.

Delve with us into the specifics of data integrity, data quality, and data integration. Learners will study how to efficiently extract business insights from data and visually communicate those insights to their stakeholders. We will familiarize learners with identifying structured vs. unstructured data, intersecting data, and developing a systematic process of analysis. Learners will be able to provide assurance, consulting, or solution-based value to their organizations.

Fast-forward to the future into the world of data, big data, and management enhancement through analytics. We will introduce learners to artificial intelligence, machine learning, and the rise of quantum computing, and how these will impact the future of auditing.

Here are the topics we'll cover.

1. Introducing Case Studies for Data Analysis
2. Using Mind-Mapping Techniques to Discover Data Sources
3. Normalizing and Forming Data
4. Human Resources Data
5. Website Analysis
6. Analyzing AP Data
7. Creating the Future of Audit Data Analytics