K2's Data Analytics For Accountants And Auditors

Monday, December 30, 2024
Webcast or Webinar, Online
1:00 PM - 4:30 PM (opens at 12:30PM) EST
4Credits

Registration is Open

Members
$159.00 Regular Price
Non-Members
$209.00 Regular Price

CPE PowerPass Users

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$80.00 Members / $112.00 Non-Members
Course Type: Webcast
Course Code: 24/9127635
Level: Intermediate
Vendor: California CPA Education Foundation
Field of Study: Information Technology

Overview:

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!

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

Major Topics:

• 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

Major Topics:

• 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

Designed For:

Practitioners and business executives who need to know more about data analytics and their importance

Prerequisites:

Basic knowledge of technology strategy and standards