December 2, 2022 9:00am – 12:30pm Map & Directions 602-252-4144

Webcast: K2's Data Analytics for Accountants and Auditors

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 the field of auditing, where internal and external auditors are increasingly turning to data analytics to identify situations requiring follow-up and investigation. Those who understand how to take advantage of various tools that are available to them to assist in these efforts benefit by conducting more thorough analysis and achieving superior results in less time. In this session, you will learn about various tools and techniques you can use for more thorough analyses of data. Included in the discussion are Excel, various 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!

Location

ASCPA Live Online Webcast
Phoenix, AZ 85034-6617

Registration Time

8:30am

Fees

Member:
$160
Non-CPA Staff:
$210
Non-CPA Staff (100% club):
$160
Non-CPA Staff (sole proprietor):
$160
Non-Member:
$210
Webcast
Accounting & Auditing
4

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

Course Level

Intermediate

Vendor

CalCPA Education Foundation More With This Vendor

Designed For

Accounting and financial professionals, including auditors, desiring to learn more about Data Analytics, including tools and procedures they can use.

Prerequisites

Fundamental knowledge of Excel and personal computer operations

Highlights

  • Differentiating between the four types of data analytics
  • Analyzing transactional data using Benford's Law
  • Utilizing regression analysis in auditing contexts
  • Identifying and resolving quality of data issues
  • Working with Power Query, Power BI, and various Excel add-ins for better results in less time

Notes

None

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