obtaining, by one or more processors, a dataset comprising transaction data stored in a plurality of data sources, wherein the plurality of data sources store portions of the dataset in a non-standardized format dependent on hardware and software associated with each data source;

converting, by the one or more processors, information of the dataset to a standardized format;

executing, by the one or more processors, one or more clustering algorithms against the dataset to generate a plurality of clusters, wherein at least one duster of the plurality of clusters corresponds to a portion of the dataset comprising an anomaly;

applying a classifier to a portion of the dataset associated with the anomaly, wherein the classifier is configured to determine a cause of the anomaly;

mapping portions of the dataset to data fields of a report based on mapping data;

populating the data fields of the report with the mapped portions of the dataset;

initiating, by the one or more processors, one or more actions to eliminate the anomaly based at least in part on the cause of the anomaly; and

outputting, by the one or more processors, data derived from the dataset subsequent to the one or more actions, wherein the data derived from the dataset comprises the report.