13. A system comprising: a core server computer executing at least one software module comprising: code capable of understanding the format of data provided by a transformation tool; code to convert the data provided by a transformation tool to a data format that maps to a data capture schema, the data capture schema comprising a set of tables to store a copy of unstructured data and attributes of the unstructured data; code to send the copy of the unstructured data to one or more transformation tools; code to parse, via a natural-language processing transformation tool, the copy of the unstructured data to extract sentences from the copy of the unstructured data and then further extract from the extracted sentences sentence-level natural-language processed entities, wherein the sentence-level natural-language processed entities are at least noun phrases; code to extract, via a linguistic processing transformation tool, sentence-level linguistically-processed relationships, wherein the sentence-level linguistically-processed relationships comprise associations between the sentence-level natural-language processed entities; code to send the sentence-level natural-language processed entities and the sentence-level linguistically-processed relationships from the one or more transformation tools to a categorization tool; wherein the categorization tool determines categorization data elements present in each extracted sentence, wherein the categorization data elements are based on the sentence-level natural-language processed entities and the sentence-level linguistically-processed relationships, and are placed within predetermined categories, and a confidence level for each categorization data element, wherein the confidence level for each categorization data element combines one or more data points linked to the sentence-level natural-language processed entities and the sentence-level linguistically-processed relationships to create a statistically-oriented calculation of confidence assigned to the categorization data element; code to write the categorization data elements from the categorization tool and the sentence-level natural-language processed entities and the sentence-level linguistically-processed relationships from the one or more transformation tools in a structured database schema; code to output the confidence level for at least one of the categorization data elements for use in structured data tools; wherein each of a plurality of source documents are assigned a unique key that identifies an individual source document throughout a software system allowing (i) cross-analysis, (ii) linking of results for further analysis, (iii) drill-down from analytical reports back to the source document or (iv) drill-down from analytical reports back to transformation information stored in the data capture schema; and wherein the one or more data points are selected from the group consisting of: confidence score of value provided by the one or more transformation tools, number of relationships found in the source of unstructured data compared to the size of the source of unstructured data, average number of relationships per kilobyte for relationships of the same type as a selected relationship, number of entities found to be associated with a relationship compared to an average number of entities for relationships in a same hierarchy, number of times similar relationships have been found in the past, number of entities that are grouped together to form a master entity, a number of times an entity occurred in the source of unstructured data compared to the average number of occurrences for entities in the same hierarchy, weighted confidences based on hierarchy of a relationship or entity, measures of data extraction confidence integrated with the system via an analysis schema, measures based on a fullness of a relationship's attributes, measures based on the confluence of a same finding by multiple transformation tools, measures based on the source of the unstructured data, and combinations thereof.
13. A system comprising: a core server computer executing at least one software module comprising: code capable of understanding the format of data provided by a transformation tool; code to convert the data provided by a transformation tool to a data format that maps to a data capture schema, the data capture schema comprising a set of tables to store a copy of unstructured data and attributes of the unstructured data; code to send the copy of the unstructured data to one or more transformation tools; code to parse, via a natural-language processing transformation tool, the copy of the unstructured data to extract sentences from the copy of the unstructured data and then further extract from the extracted sentences sentence-level natural-language processed entities, wherein the sentence-level natural-language processed entities are at least noun phrases; code to extract, via a linguistic processing transformation tool, sentence-level linguistically-processed relationships, wherein the sentence-level linguistically-processed relationships comprise associations between the sentence-level natural-language processed entities; code to send the sentence-level natural-language processed entities and the sentence-level linguistically-processed relationships from the one or more transformation tools to a categorization tool; wherein the categorization tool determines categorization data elements present in each extracted sentence, wherein the categorization data elements are based on the sentence-level natural-language processed entities and the sentence-level linguistically-processed relationships, and are placed within predetermined categories, and a confidence level for each categorization data element, wherein the confidence level for each categorization data element combines one or more data points linked to the sentence-level natural-language processed entities and the sentence-level linguistically-processed relationships to create a statistically-oriented calculation of confidence assigned to the categorization data element; code to write the categorization data elements from the categorization tool and the sentence-level natural-language processed entities and the sentence-level linguistically-processed relationships from the one or more transformation tools in a structured database schema; code to output the confidence level for at least one of the categorization data elements for use in structured data tools; wherein each of a plurality of source documents are assigned a unique key that identifies an individual source document throughout a software system allowing (i) cross-analysis, (ii) linking of results for further analysis, (iii) drill-down from analytical reports back to the source document or (iv) drill-down from analytical reports back to transformation information stored in the data capture schema; and wherein the one or more data points are selected from the group consisting of: confidence score of value provided by the one or more transformation tools, number of relationships found in the source of unstructured data compared to the size of the source of unstructured data, average number of relationships per kilobyte for relationships of the same type as a selected relationship, number of entities found to be associated with a relationship compared to an average number of entities for relationships in a same hierarchy, number of times similar relationships have been found in the past, number of entities that are grouped together to form a master entity, a number of times an entity occurred in the source of unstructured data compared to the average number of occurrences for entities in the same hierarchy, weighted confidences based on hierarchy of a relationship or entity, measures of data extraction confidence integrated with the system via an analysis schema, measures based on a fullness of a relationship's attributes, measures based on the confluence of a same finding by multiple transformation tools, measures based on the source of the unstructured data, and combinations thereof. 27. The system of claim 13 , wherein the categories from the categorization tool and the sentence-level natural-language processed entities and the sentence-level linguistically-processed relationships from the one or more transformation tools to a user on a visual display.