| CPC G06F 16/2365 (2019.01) [G06F 16/215 (2019.01)] | 19 Claims |
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1. A method for identifying a cause of data disparity among monitored data, the method comprising:
monitoring, using a server computer, parameters associated with data collected in connection with a processing computer;
detecting, using the server computer, a data disparity among the data;
identifying, using the server computer, a first event associated with the data disparity;
determining, using the server computer, a set of events associated with the first event, wherein an event among the set of events represents an occurrence that impacts at least one of an amount of data processed by, or a processing speed of, the processing computer, wherein the set of events include one or more internal events internal to an organization comprising the processing computer and one or more external events external to the organization;
calculating, using the server computer, a score for each event among the set of events as a function of a weight assigned to each event among the set of events and occurrence score determined for each event among the set of events, wherein the weight assigned to each event among the set of events is a measure of probability of that event being the cause of the data disparity, wherein the occurrence score for the event includes a sum of occurrence scores of child events of the event;
identifying, using the server computer, a second event among the set of events as the cause of the data disparity, wherein the second event has the highest score among the set of events; and
taking remedial or preventive actions to address the data disparity in view of the second event being the identified cause of the data disparity.
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