In today’s business environment, internal audit departments are expected to help an organization improve business processes, ensure regulatory compliance, fight fraud, and get to the root cause of organizational issues. A formal data analytics program can help an audit function meet those expectations while becoming more efficient and easily scalable and significantly reducing auditing errors, all while providing greater audit and risk coverage. Data analytics programs can provide long-term continuous auditing and monitoring around legal and compliance issues as well as the ability to perform ad hoc audit testing, operational analysis, and fraud investigations. A data analytics program is the cornerstone of fraud detection in many organizations, providing audit and fraud teams with the ability to identify fraud red flags in real time. Data analytics programs will increase the opportunities for an audit team to add real value to their organization by increasing assurance and reducing effort through redundant testing processes such as Sarbanes-Oxley testing.
In this course attendees will learn how to effectively use data analytics software to develop data analytics scripts to support an audit. The course is interactive and participants will learn through a combination of lecture, live demonstrations, and hands-on exercises. We recommend that attendees should bring laptops (with the ability to install software, or the software already installed) to class to participate in the hands-on exercises.
BONUS: ALL REGISTERED ATTENDEES WILL RECEIVE A TRIAL VERSION OF THE SOFTWARE AND BEST PRACTICE TEMPLATES.
- Importance of planning objectives
- How to process data from any source
- Identifying outliers or issues
- Analyzing data from various sources
- Applying basic fraud techniques
- Setup-based repetitive procedures to support continuous auditing/monitoring
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