Data analytics in internal audit is a growing trend in higher education.
Explore the data analytics process with Baker Tilly’s higher education risk advisory specialist. In this quick video, we discuss the five steps of a successful data analytics process, types and sources of data to include in analysis, questions to consider, key hurdles and approaches to address challenges.
The video features the following:
- The importance of working with good, reliable data
- Applying best practices to check for data quality
- Following an effective data analysis process
Our higher education data analytics specialist answers three key questions:
- What questions should institutions ask before starting data analysis?
- What are the challenges associated with data analytics in higher education?
- What types of data should be part of analysis?
Meet the presenter:
- William Hoffer, Manager, Higher Education Risk Advisory
Does your institution need assistance implementing an efficient internal audit data analytics process? For more information, or to learn how Baker Tilly can help, contact our team.