Energy efficient collaboration for environmental social and governance (esg) data consolidation and validation in the metaverse

An energy efficient collaboration for environmental social and governance (ESG) data consolidation and validation apparatus comprising:

• at least one hardware processor;
• a correlation graph generator, executed by the at least one hardware processor, to:
• determine local correlations between ESG dimensions by determining correlation between historical data sets for corresponding ESG dimensions;
• generate, based on the determined local correlations and for each organization avatar entity (OAE) of a plurality of OAEs, a local correlation graph of associated ESG dimensions;
• determine, based on the local correlation graph of associated ESG dimensions, global correlations between the ESG dimensions by determining mean correlation between specified ESG dimensions across the plurality of OAEs;
• and
• generate, based on the determined global correlations and for each OAE of the plurality of OAEs, a global correlation graph of associated ESG dimensions;
• an ESG dimension analyzer, executed by the at least one hardware processor, to:
• identify, based on the global correlation graph, correlated ESG dimensions for each ESG data analyzer of a plurality of ESG data analyzers with respect to a set of ESG dimensions on which an ESG data analyzer of the plurality of ESG data analyzers collects data for at least one OAE of the plurality of OAEs;
• a collaboration analyzer, executed by the at least one hardware processor, to:
• determine, based on the correlated ESG dimensions for each ESG data analyzer of the plurality of ESG data analyzers, collaboration potential between the plurality of ESG data analyzers;
• a collaboration potential analyzer, executed by the at least one hardware processor, to:
• generate, based on the collaboration potential between the plurality of ESG data analyzers, decentralized groups of collaborating ESG data analyzers;
• a data model generator, executed by the at least one hardware processor, to:
• update, for each decentralized group of the decentralized groups of collaborating ESG data analyzers, a data model for each ESG data analyzer with respect to each ESG dimension corresponding to each OAE for which the ESG data analyzer is collecting data;
• an anomalous event analyzer, executed by the at least one hardware processor, to:
• identify, for the ESG data analyzer that is collecting data and based on an associated updated data model, a potential anomalous ESG event at a specific ESG dimension;
• and
• a OAE controller, executed by the at least one hardware processor, to:
• control, based on the identified potential anomalous ESG event, operation of the OAE associated with the ESG data analyzer that is collecting data.