+ Earn 25 CPE Credits
+ Earn 25 CPE Credits
This course is designed for experienced ACL™ users. In an interactive, hands on environment you will learn how to integrate ACL commands and expressions to accomplish complex data analysis tasks. You will also practice planning and executing a data analysis project by working through a series of case studies. Through this case-study approach you will learn how to effectively use ACL in real-life situations and discover what it means to think with ACL.
This course is designed for experienced ACL™ users. In an interactive, hands on environment you will learn how to integrate ACL commands and expressions to accomplish complex data analysis tasks. You will also practice planning and executing a data analysis project by working through a series of case studies. Through this case-study approach you will learn how to effectively use ACL in real-life situations and discover what it means to think with ACL.
By the end of this workshop, you will be able to:
+ Exhibit proper planning techniques
+ Apply ACL in a structured audit analysis process.
+ Break analysis objectives into structured, manageable steps.
+ Identify and apply the ACL Analytics functionality needed to achieve objectives.
+ Use ACL Analytics to import data, prepare data for analysis, analyze data and
report issues.
+ Examine data elements and table structures.
+ Use best practice methodology.
+ Create table layouts for various source data types
+ Prepare data for analysis by testing the integrity of data (controls, bounds,
completeness, uniqueness, association, and recalculation); critically assessing
whether integrity issues will impair analysis objectives.
+ Test issues to identify patterns that may be indicative of the cause(s) of issues
+ Evaluate data to reveal exceptions
+ Document entire scope of analysis and process to be included in working papers and documented issues
By the end of this workshop, you will be able to:
+ Exhibit proper planning techniques
+ Apply ACL in a structured audit analysis process.
+ Break analysis objectives into structured, manageable steps.
+ Identify and apply the ACL Analytics functionality needed to achieve objectives.
+ Use ACL Analytics to import data, prepare data for analysis, analyze data and
report issues.
+ Examine data elements and table structures.
+ Use best practice methodology.
+ Create table layouts for various source data types
+ Prepare data for analysis by testing the integrity of data (controls, bounds,
completeness, uniqueness, association, and recalculation); critically assessing
whether integrity issues will impair analysis objectives.
+ Test issues to identify patterns that may be indicative of the cause(s) of issues
+ Evaluate data to reveal exceptions
+ Document entire scope of analysis and process to be included in working papers and documented issues
info@rhythexconsultingghana.com
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info@rhythexconsulting.com
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info@rhythexconsulting.com
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Tel: 08179444443, 08038553466