Using ACL Data Analytic for Data Analysis & Income Assurance

Udemy Certificate USD 19.99
Enroll now →
Using ACL Data Analytic for Data Analysis & Income Assurance

About this course

This course is a comprehensive tutorial on Audit Command Language (ACL) Data Analytics, designed for users who want to learn the functionalities and usage of Audit Command Language (ACL). Through this thorough tutorial and practice exercises, you will learn how to effectively use Audit Command Language (ACL) to accomplish your audit and/or business objectives. Key topics include: • Detect gaps and control failures • Discover duplicates in inconsistent data and duplicates that are similar but not exact • Access and reconcile data from various systems in order to identify potential issues • Identify outliers and anomalies in transactional data • Combine data from multiple source types in order to make comparisons between them • Aggregate data to identify trends and exceptions • Compare files to identify changes between two points in time • Calculate elapsed times and isolate those outside bounds• How to identify ghost workers and identify payroll fraud.Auditors, Data analysts and Financial professionals who want to take their analytics to the next level need to take this course as this has been designed to practically teach students how to apply this training to practical industry use.  ACL users or potential users can take this course as this has been designed to meet all user needs.

What you'll learn

  • detect gaps and control failures
  • discover duplicates in inconsistent data
  • access and reconcile data from various systems
  • identify outliers and anomalies in transactional data
  • combine data from multiple sources for comparison
  • aggregate data to identify trends and exceptions
  • compare files for changes over time
  • calculate elapsed times and isolate anomalies
  • identify ghost workers and payroll fraud

Skills you'll gain

Related courses

Course details are provided by the platform and may change — always confirm on the provider's site. Links may be affiliate links.