| CPC G06Q 10/06395 (2013.01) [G06F 16/258 (2019.01)] | 9 Claims |
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1. A method for performing real time data analytics in a supply chain environment, the method comprising:
receiving, by a processor, a data file from a user, wherein the data file is generated using a plug-in installed on a user's machine;
identifying, by the processor, a plurality of data definitions present in the data file upon analysing a software system installed on the user's machine, and wherein the plurality of data definitions is identified based on metadata corresponding to the software system;
comparing, by the processor, the plurality of data definitions with a master definition based on the metadata and a trained data definition model, wherein the master definitions are present in a central repository, and wherein the master definitions are format agnostic, and wherein the master definitions correspond to master data, and wherein the master data comprises data files from a plurality of user machine running different software system;
transforming, by the processor, the plurality of data definitions into the master definitions using a set of data transformation techniques, wherein the plurality of data definitions is transformed based on the comparison between the plurality of data definitions and the master definitions;
creating, by the processor, a transformed data file based on the transformation of the plurality of data definitions, wherein the transformed data file is a subset of the master data, and wherein the transformed data file comprises the master definitions;
automatically linking, by the processor, the transformed data file with the master data in real time using Artificial Intelligence (AI) and Machine Learning (ML) techniques; and
remotely accessing, by the processor, the transformed data file in real time for performing data analytics as per the master definitions defined for a supply chain environment.
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