The accounting and financial services sector has been faced with great challenges in fraud, noncompliance, and ineffective controls. The industry previously used financial modeling and traditional auditing approaches to monitor company performance and make business decisions. Industry leaders talk about the new age of data in which organizations are making data-driven decisions using analytical modeling and decision science approaches to accompany traditional accounting and financial models.
A Predictive Analytics Model To Identify Risky Banks
Speaker: Thomas Siems, Chief Economist at Conference of State Bank Supervisors
A Toolbox Approach to COVID Fraud Detection
Speaker: Heidi Gurung, Data Modeler at IEM
Increasing the Value of the Accounting Function through Data Analytics
Speaker: Kourtney Nett, Risk Advisory Services Parnter, MCM CPAs & Advisors LLP
Executive
Spread Too Thin: Interpreting Coefficient of Variation in Monte-Carlo Based Cost Models
Speaker: Stephen Koellner, Tech Advisor & Cost Estimator at Augur Consulting
