15. The method of claim 1 , all the limitations of which are incorporated herein by reference, wherein for each of said data attributes in said user query, said tagging process comprises checking the data attribute for grouping candidacy and for any available user defined ranges when no information is input as to how said data attribute is to be treated.
1. A computer automated method of aggregating and presenting data, said method comprising: inputting a set of user-defined instructions into a locally located computer database system via a local network connection; inputting a user query including data attributes into said computer database system via said local network connection; mining said computer database system for data relevant to said user query; creating a data set comprising said data relevant to said user query; aggregating data in said data set using domain metrics selected based on any of predefined and configurable rules and past user usage, wherein the aggregation comprises: tagging all data attributes in said data set based on database metadata and inputs from a user, wherein said data attributes comprise any of data identifications (IDs), data grouping attributes, and data measure attributes, wherein the tagging process comprises inputting said user query, said database metadata for said data attributes in said user query, and attributes specifications; and reducing the number of the tagged data attributes in said data set by logically eliminating data attributes; selecting at least one presentation report for compiling the aggregated data, wherein the selection is based on any of predefined and configurable rules and past user usage; and displaying said at least one presentation report to said user via said private network, wherein the displaying process comprises graphically arranging said at least one presentation report based on an available viewing area of a device accessing said at least one presentation report; wherein for each of said data attributes in said user query, said tagging process comprises tagging the data attribute as a grouping attribute when said data attribute is to be treated as a grouping attribute based on inputs to any of said computer database system and said database metadata; and wherein when said data attribute comprises a grouping attribute and has a number of unique values less than the maximum numbers of unique values allowed to select a database attribute as a grouping attribute, said tagging process comprises tagging said data attribute as a grouping attribute.