Eagle Exception Processing for Accounting Operations

Course Outline

Resolving Security Exceptions

  1. Using Core Action Rules to Clear Exceptions
  2. Repairing a Debt Security’s 365-Day Accrual Limit Exception
  3. Repairing a Debt's 335 Accrual Problem Challenge

Additional Training

  1. Additional Information and Potential Onsite Training

Resolving Exceptions not able to use Standard Content Action Rules

  1. Creating an Action Rule to Resolve a Cash Dividend Announcement Exception
  2. Creating an Action Rule to Resolve a Stock Split Announcement Exception - Challenge

Navigating to Automation Center and Displaying Assigned Securities’ Exceptions

  1. Navigating to Automation Center and Assigned Securities
  2. Filtering to Your Assigned Exceptions


  1. Instructor Introduction
  2. Course Objectives

Removing “Noise” Exceptions

  1. Using Processing Rules to Remove Noise Exceptions

Locking, Assigning, and Repairing Missing SMF Data Exceptions

  1. Locking and Assigning Exceptions
  2. Reprocessing a Buy Trade After Reference Data is Added - Error Code 10

Getting Started

  1. Congratulations, let's get you started!
  2. Before you get started
  3. Training collateral


  1. Assessment
  2. Milestone
  3. Documentation Links
  4. Survey

About the Course

Eagle's Exception Processing for Accounting Operations provides participants with the ability to efficiently monitor, organize, and resolve rejected events. 

By the end of this course you will be able to:

  • Navigate the Exceptions Processing Module
  • Query and filter exceptions using the Rules Editor
  • Describe failed message details generated by Message Center
  • Identify the steps required to repair exceptions
  • Repair and resubmit failed events using ‘Standard Content' Action Rules
  • Create Custom Rejection Rules and Action Rules
  • Assign exceptions to User Groups 

About the Instructors

Michael Sowsy

Michael Sowsy, Senior Training Consultant

Started at Eagle: 2008

Started in Industry: 1984

Areas of Expertise:

  • Accounting
  • Data Management