Intuit Inc.
ANOMALY DETECTION AND CLUSTERING IN FINANCIAL DATA CHANNEL MIGRATION

Abstract:

A method and system determines whether or not a new data acquisition process is working for individual financial accounts of users of a data management system. The method and system trains an analysis model with a machine learning process. The trained analysis model then analyzes financial data obtained by both an old data acquisition process and the new data acquisition process. The trained analysis model identifies whether the new data acquisition process is working properly based on the analysis.