Bank of America Corporation

Rudraraju Ramakrishnamraju

Om Purushotham Akarapu

Daniel Darnadi Widjanarko

Bibhudatta Jena

Kaushik Kumar Akula

Nunna Venkata Sri Satya Mounika

Belhekar Durgadatta

Yarlagadda Anudeepa

Ragala Manoj Sivaram

Rajashekar Gangaram Basarveni

Aspects of the disclosure relate to computing hardware and software for dynamic control limit configuration. A computing platform may receive and format historical data. The computing platform may input the formatted data into a control limit prediction model, which may output predicted control limits by weighting, using an ensemble model, outputs from a plurality of other models to produce predicted control limits. The computing platform may adjust existing control limits based on predicted control limits to create actual control limits. The computing platform may receive real time data, and may identify, using the actual control limits and the real time data, a deviation score for the real time data. The computing platform may compare the deviation score to the actual control limits. Based on detecting that the deviation score breaches the actual control limits, the computing platform may send an indication of the breach.

Dynamically providing real-time configuration of data research control limits

Embodiments of the invention are directed to a system, method, or computer program product for analyzing a data model and identifying anomalies within the data model. Data stored in a database is transformed into a data model by the invention, wherein the invention analyzes the data and generates relationships between tables and information contained within to generate the model. The data model itself is then analyzed in order to accurately identify anomalies such as ragged hierarchies, many-to-many issues, and/or double counting issues present in the data model which might affect the data integrity. Upon analyzing the data model, the invention compiles lists of discovered information and presents the results to a user in the form of a data analysis report.

System for identifying anomalies by automatically generating and analyzing a structure

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Hyderabad Telangana, India

Rudraraju Ramakrishnamraju