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CECL Webinar: Data Quality

Methods for collecting adequate data in preparation for CECL

FASB’s guidance for estimating expected credit losses is not prescriptive and, therefore, examiners are not asking exactly how you plan to calculate your reserve under CECL today. However, due to the shift from an incurred to expected loss model, banks need to be working on loan-level data collection now as a first step toward being compliant under future GAAP.

Sageworks covers how community banks can improve data quality, assure data adequacy and take the step towards data validation and modeling.

Watch to learn:

  • Data collection options
  • Suggested data fields for community banks
  • Advantages and disadvantages of getting started today

 

 

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About the Presenter
Garver Moore
Garver Moore, Principal Consultant, Sageworks Advisory Group
Garver Moore, Principal Consultant with the Sageworks Advisory Services group, lends his expertise in analytics and modeling to bank and credit union clients. Garver brings a decade of enterprise software, analytic and advisory experience to the consulting team at Sageworks. Before joining Sageworks, Garver served customers as a consultant with Accenture, and he later worked with C-suite executives on technology strategy and delivery as a managing partner of the Orange Advisory Group. He received his bachelor’s degree in computer engineering from Duke University.