Artificially-intelligent, continuously-updating, centralized-database-identifier repository system

A method for data consolidation of an artificially-intelligent centralized key data repository, the method comprising:

• reviewing a plurality of databases, each database included in the plurality of databases comprising one or more tables;
• based on the reviewing, determining:
• duplicate records within the plurality of databases;
• comparable records within the plurality of databases;
• a utilization metric for each table included within the plurality of databases;
• ranking the tables included in the plurality of databases based on the utilization metric, wherein more frequently used tables receive higher ranking and less frequently used tables receive lower ranking;
• determining and assigning memory locations for each table, the memory locations including a plurality of memory locations with shorter than a threshold response time and a plurality of locations with greater than the threshold response time, wherein tables with greater than a threshold frequency are assigned to memory locations with shorter than the threshold response time and tables with lower than the threshold frequency are assigned to memory locations with greater than the threshold response time;
• identifying one or more recommendations for database synchronization and/or database usage optimization;
• displaying the recommendations to operator;
• and
• executing the recommendations upon receipt of operator confirmation.