Designed For
- Practitioners and business executives who need to know more about data analytics and their importance
Objectives
- List the four types of data analytics and identify situations in which each can be useful in auditing environments
- Identify opportunities to use features in Excel to analyze data in the context of auditing
- Distinguish between Business Intelligence and Data Analytics
- Differentiate between correlation and causation
- Cite examples of how Power Query, Power BI, and other tools can streamline and enhance Data Analytics
Highlights
- Understanding the importance of data analytics in modern business environments
- Generating and interpreting data analytics using everyday applications such as Microsoft Office Excel and Microsoft’s Power BI platform
- Using regression analysis to create and validate forecasts and projections
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Leaders
Stephen Yoss
Stephen M. Yoss, Jr., MS, CPA, is a certified public accountant, the senior technology strategist and partner of Devmatics, a continuing education instructor for financial professionals, and a licensed pyrotechnician. While his interests and skills are varied, they all share a common thread—his love for and skill in finding technology-based solutions.