Data reconciliation

US10943196B2 · kind B2 · utility

Assignee

• ACCENTURE GLOBAL SOLUTIONS LIMITED · IE

Inventors

• Chung-Sheng Li · Scarsdale, US
• Emmanuel Munguia Tapia · Newark, US
• Jingyun Fan · Berkeley, US
• Priyankar Bhowal · Manesar, IN
• Mohammad Ghorbani · Foster City, US
• Abhishek Gunjan · Thane, IN
• David Clune · Califon, US
• Sumraat Singh · Faridabad, IN
• Samar Alam · Noida, IN

Key dates

• Filing date: Jul 9, 2018
• Grant date: Mar 9, 2021
• Expiry date: May 7, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/00
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Data from multiple sources may be gathered continuously to perform reconciliation operations. The data items in a first data set may be matched with those in the second data set using a data matching technique. Based on the matching, a confidence score indicative of an extent of match between the data items in the data sets may be generated. Based on the confidence score and predefined thresholds, it may be ascertained if the data items are reconciled. The non-reconciled items in at least one of the first data set and the second data set may be classified in a classification category, based on an artificial intelligence based technique, the classification category being indicative of an explanation of a non-reconciled data item being non-reconcilable. When the data item is not reconciled and classified, the data item is identified as an open item for further analysis.