1. A processor implemented method for identifying risk, comprising: receiving information associated with at least one risk for identifying at least one predetermined indicator of risk-relevant information, wherein based on the identifying, the received information is processed to redact redundant information; analyzing, by a processor, the received information to determine relevancy of the information with regard to the at least one risk; tagging, by the processor, the information with at least one risk-relevancy tag based on the determination of the relevancy of the information with regard to the at least one risk; processing the tagged information to remove redundant information and information not deemed to be relevant to the at least one risk, thereby creating the risk-relevant information; parsing, by the processor, the risk-relevant information into a plurality of portions categorized by the at least one risk-relevancy tag; determining, by the processor, a risk-relevancy metric of each of the plurality of portions, wherein the at least one risk-relevancy tag identifies the risk-relevancy metric associated with a relevant portion of the information with respect to the at least one risk, the risk-relevancy metric indicating a likelihood that the relevant portion of the information is relevant to the at least one risk; storing the risk-relevant information in a data storage structure, wherein the data storage structure includes a plurality of areas that are interrelated to facilitate the identification of the at least one risk; and outputting the risk-relevant information stored in the data storage structure to a risk identification graphical user interface.
1. A processor implemented method for identifying risk, comprising: receiving information associated with at least one risk for identifying at least one predetermined indicator of risk-relevant information, wherein based on the identifying, the received information is processed to redact redundant information; analyzing, by a processor, the received information to determine relevancy of the information with regard to the at least one risk; tagging, by the processor, the information with at least one risk-relevancy tag based on the determination of the relevancy of the information with regard to the at least one risk; processing the tagged information to remove redundant information and information not deemed to be relevant to the at least one risk, thereby creating the risk-relevant information; parsing, by the processor, the risk-relevant information into a plurality of portions categorized by the at least one risk-relevancy tag; determining, by the processor, a risk-relevancy metric of each of the plurality of portions, wherein the at least one risk-relevancy tag identifies the risk-relevancy metric associated with a relevant portion of the information with respect to the at least one risk, the risk-relevancy metric indicating a likelihood that the relevant portion of the information is relevant to the at least one risk; storing the risk-relevant information in a data storage structure, wherein the data storage structure includes a plurality of areas that are interrelated to facilitate the identification of the at least one risk; and outputting the risk-relevant information stored in the data storage structure to a risk identification graphical user interface. 13. The method of claim 1 , wherein the data storage structure further includes the risk-relevant information that is further parsed into: at least one unique key that defines an association between at least one of (i) an individual and an event, (ii) an individual and an item, (iii) an individual and an organization, (iv) an event and an item, (v) an event and an organization (vi) an item and an organization, (vii) a first individual and a second individual, (viii) a first event and a second event, (ix) a first item and a second item, and (x) a first organization and a second organization.