Automated process collaboration platform in domains

A system comprising:

• one or more processors;
• and
• memory configured to store computer code comprising instructions, the instructions, when executed by the one or more processors, cause the one or more processor to:
• receive master data, transaction data, and a process model of a domain;
• aggregate, based on domain knowledge ontology of the domain, the master data and the transaction data to generate a fact table;
• convert entries in the fact table into vectors;
• identify, based on the vectors, an attribute that impacts the process model wherein the instructions to identify, based on the vectors, the attribute that impacts the process model comprises the instructions to:
• receive a performance indicator,
• input the vectors into an algorithm to identify a correlation between the attribute and the performance indicator,
• determine a p-value of the attribute, and
• determine, based on the p-value, whether the attribute is statistically significant on impacting the performance indicator;
• generate an action associated with the attribute to improve the process model;
• and
• providing the action to a client device associated with the domain.

A non-transitory computer readable medium for storing computer code comprising instructions, the instructions, when executed by one or more processors, cause the one or more processors to:

• receive master data, transaction data, and a process model of a domain;
• aggregate, based on domain knowledge ontology of the domain, the master data and the transaction data to generate a fact table;
• convert entries in the fact table into vectors;
• identify, based on the vectors, an attribute that impacts the process model, wherein the instructions to identify, based on the vectors, the attribute that impacts the process model comprises the instructions to:
• receive a performance indicator,
• input the vectors into an algorithm to identify a correlation between the attribute and the performance indicator,
• determine a p-value of the attribute, and
• determine, based on the p-value, whether the attribute is statistically significant on impacting the performance indicator;
• generate an action associated with the attribute to improve the process model;
• and
• providing the action to a client device associated with the domain.