Thomson Reuters Enterprise Centre Gmbh

Brian Kent Cechmanek

Johannes Schleith

Revogatus Apolinary Tesha

Embodiments of the present disclosure support systems and methods providing functionality for performing anomaly detection and remediation. In an aspect, a dataset comprising transaction data stored in a plurality of data sources is obtained. One or more clustering algorithms are executed against the dataset to identify a plurality of clusters. At least one cluster of the plurality of clusters corresponds to a portion of the dataset comprising an anomaly. A classifier may be used to determine a cause of the anomaly and one or more actions to eliminate the anomaly may be initiated. Data derived from the dataset subsequent to the one or more actions may be output. For example, the output may be a report generated based on the dataset.

Growing community of inventors

London, United Kingdom

Brian Kent Cechmanek