1. A computer implemented method for corporate data analysis, comprising: receiving, by a processor and from a computer-readable memory that stores corporate data storing information about a corporation, a set of data that identifies employees of the corporation, the set of data including information about keywords defined by employees; in response to input, transforming, by the processor, the set of data into a first graphical representation including nodes whose properties are based on the set of data, wherein the nodes represent respective employees of the corporation; displaying, by the processor, the graph representation including the nodes, wherein a first node representing a first employee is connected to a second node representing a second employee who directly reports to the first employee under a corporate structure of the corporation, and wherein a size of the first node corresponds to a number of employees that directly report to the first employee; in response to input, transforming, by the processor, the set of data into a second graphical representation including nodes whose properties are based on the set of data, wherein a subset of nodes in the second graphical representation represent the keywords associated with the employees and another subset of nodes in the second graphical representation represent employees; and displaying the second graphical representation including the nodes, wherein a fourth node representing a keyword is connected to a fifth node representing a fifth employee who has defined the keyword, wherein the keyword represents a role in the corporation, and wherein a size of the fourth node corresponds to a frequency with which employees define the keyword represented by the fourth node.
1. A computer implemented method for corporate data analysis, comprising: receiving, by a processor and from a computer-readable memory that stores corporate data storing information about a corporation, a set of data that identifies employees of the corporation, the set of data including information about keywords defined by employees; in response to input, transforming, by the processor, the set of data into a first graphical representation including nodes whose properties are based on the set of data, wherein the nodes represent respective employees of the corporation; displaying, by the processor, the graph representation including the nodes, wherein a first node representing a first employee is connected to a second node representing a second employee who directly reports to the first employee under a corporate structure of the corporation, and wherein a size of the first node corresponds to a number of employees that directly report to the first employee; in response to input, transforming, by the processor, the set of data into a second graphical representation including nodes whose properties are based on the set of data, wherein a subset of nodes in the second graphical representation represent the keywords associated with the employees and another subset of nodes in the second graphical representation represent employees; and displaying the second graphical representation including the nodes, wherein a fourth node representing a keyword is connected to a fifth node representing a fifth employee who has defined the keyword, wherein the keyword represents a role in the corporation, and wherein a size of the fourth node corresponds to a frequency with which employees define the keyword represented by the fourth node. 2. The method of claim 1 , wherein the graphical representation includes at least one visible organizational anomaly.