Description
In the world of "Big Data," virtually all business professionals have become data analysts, at least to some extent. However, that is particularly true in auditing, where internal and external auditors increasingly turn to data analytics to identify situations requiring follow-up and investigation. Those who understand how to use various tools to assist in these efforts benefit by conducting more thorough analyses and achieving superior results in less time.
In this session, you will learn about various tools and techniques you can use for more thorough data analyses. The discussion includes Excel as a data analysis tool, multiple Excel add-ins, and Microsoft's Power BI application. If you're seeking to improve your skills in the field of data analytics, this session is the one for you!
In this session, you will learn about various tools and techniques you can use for more thorough data analyses. The discussion includes Excel as a data analysis tool, multiple Excel add-ins, and Microsoft's Power BI application. If you're seeking to improve your skills in the field of data analytics, this session is the one for you!
Designed For
- Practitioners and business executives who need to know more about data analytics and their importance
Objectives
- Data analytics is among the most talked about subjects 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.
- 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
Lawrence McClelland
Mac McClelland, an attorney and accounting professional, is an associate of K2 Enterprises of Hammond, Louisiana, and Network Management Group of Hutchinson, Kansas.
Mac was formerly the director of the Centre for Financial Studies at the University of Otago in Dunedin, New Zealand, where he lived and worked for seven years from 1990 to 1997. He was also a member of the faculty of the Advanced Business Programme, ranked in the top 100 MBA programs in the world by The Economist, specializing in business strategy and strategic management accounting.