Multidimensional data analysis for issue prediction

US12242958B2 · kind B2 · utility

Assignee

• ACCENTURE GLOBAL SOLUTIONS LIMITED · IE

Inventors

• Anindya Dutt · Delhi, IN
• Kamalesh Kuppusamy Kuduva · Bengaluru, IN
• Prashanth Ramesh · Kanchinakote, IN
• Siddesha Swamy · Bengaluru, IN
• Mohd Israil Khan · Noida, IN
• Ankur Narain · Quezon, PH
• Kumar Viswanathan · San Jose, US

Key dates

• Filing date: Dec 21, 2020
• Grant date: Mar 4, 2025
• Expiry date: Nov 16, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/045
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A system for issue prediction based on multidimensional data analysis includes a model generator that receives a resolved data item relating to a service issue. The resolved data item includes different attributes corresponding to multiple data dimensions and adjusts a population of attributes based on a statistical data model and a deep learning data model operating independent of each other. The statistical data model operates on the attributes for providing a predictive feature and the deep learning data model operates on the attributes for providing a predictive label based on performance metrics related to the data dimensions. The predictive feature and the predictive label collectively define training data. The model generator also trains a classification model based on the training data for predicting a potential issue related to an unresolved data item. The trained data model provides a trigger based on the potential issue being related to the performance metrics.