11. A non-transitory computer readable storage medium storing a program that, when executed by one or more hardware processors, causes the one or more hardware processors to perform a method for facilitating an operation of a device, the method comprising: receiving an indication of an operation problem for a first device; acquiring historical operation data of a plurality of devices including the first device, the historical operation data including structured data and unstructured data; determining at least a list of first entities and a list of second entities based on the structured data; determining, based on the structured and unstructured data, a frequency of association between each of the first entities and each of the second entities; determining, based on the frequency of association, a set of entity associations, each entity association including at least one of the first entities and at least one of the second entities; determining one or more relationships between each of the entity associations, based on: determination of a degree of association associated with a relationship between each of the entity associations and a direction associated with the relationship, wherein the direction reflects a causality relationship; and determination of a hypothesis for a reason for the operation problem based on a resultant matrix obtained by matrix manipulation of an adjacency matrix, wherein the adjacency matrix is determined based on the degree of association and the direction; and determining, based on the one or more determined relationships, an operation solution to solve the operation problem.
11. A non-transitory computer readable storage medium storing a program that, when executed by one or more hardware processors, causes the one or more hardware processors to perform a method for facilitating an operation of a device, the method comprising: receiving an indication of an operation problem for a first device; acquiring historical operation data of a plurality of devices including the first device, the historical operation data including structured data and unstructured data; determining at least a list of first entities and a list of second entities based on the structured data; determining, based on the structured and unstructured data, a frequency of association between each of the first entities and each of the second entities; determining, based on the frequency of association, a set of entity associations, each entity association including at least one of the first entities and at least one of the second entities; determining one or more relationships between each of the entity associations, based on: determination of a degree of association associated with a relationship between each of the entity associations and a direction associated with the relationship, wherein the direction reflects a causality relationship; and determination of a hypothesis for a reason for the operation problem based on a resultant matrix obtained by matrix manipulation of an adjacency matrix, wherein the adjacency matrix is determined based on the degree of association and the direction; and determining, based on the one or more determined relationships, an operation solution to solve the operation problem. 12. The medium of claim 11 , wherein the structured data include a set of discrete data that are associated with specific fields configured to provide one or more meanings to the set of discrete data; wherein the first and second entities include the set of discrete data.