Data analytics is among the most widely discussed topics in business circles today. In this session, you will learn about the four types of data analytics, tools for generating data analytics measures, and how to interpret and use data analytics results.
Learning Objectives
• Compare 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
• Compare examples of how Power Query, Power BI, and other tools can streamline and enhance Data Analytics
Major Topics
• Understanding the importance of data analytics in modern business environments
• Generating and interpreting data analytics using everyday applications such as Microsoft Excel and Microsoft’s Power BI platform
• Using regression analysis to create and validate forecasts and projections
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