Microsoft Dynamics GP Analytical Accounting

 

Analyze, interpret, and create reports based on your company’s chart of accounts…

Duration: Half Day Course

 

Using Analytical Accounting, you can better assess your company's accounts by entering detailed analysis information without resorting to segmental accounting. You have the flexibility of storing nonmonetary information as well as the capacity to create budgets using analysis dimensions, comparing your actual figures with budgeted figures. 

  

Prerequisites: Windows knowledge. Introduction to Microsoft Dynamics GP

 

Who should attend: Data entry clerks, administrators, office managers, CEOs, and anyone needing to understand Analytical Accounting functionality.

 

What you will learn:

  • Introduce basic concepts and features in Analytical Accounting.
  • Use the setup windows to enable the correct use of posting accounts, security roles and tasks, enquiries and reports, smartlists and the setting up of user defined fields, assignment options and access to codes.
  • Set up various transaction dimensions, relationships between alphanumeric transaction dimensions, transaction dimension codes, and valid code combinations in order to enter analysis information.
  • Understand the process of creating account classes and linking accounts to an account class in Analytical Accounting.
  • Demonstrate how to obtain information about trees and tree structures used in reporting.
  • Demonstrate how to obtain information about trees and tree structures used in reporting.
  • Utilise the Multilevel Query wizard to compare actual versus budgeted amounts, complete a Variance analysis, as well as compare budget amounts for different years.
  • Analyze your company's chart of accounts in detail through the use of queries and reports. .
  • Identify how to create Analytical Accounting Budgets and budget trees to record information against budget tree nodes using the transaction dimensions and codes. Export the budget to Excel for easy modification before re-importing the data.
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