Patent ID: 8046278
Filing Date: 2011-10-25
Classification: G06Q

Abstract:
1. A computerized system encoded with a method of qualifying a portfolio management firm, the method comprising the steps of: (a) calculation of an at least three dimensional multi-dimensional space of points associated with characteristics of firms, the calculation using a neural network characterized by synaptic neuron weightings; (b) evaluation and processing of the multi-dimensional space including projecting the points in the at least three-dimensional multi-dimensional space onto a 2-dimensional space using a Kohonen network, the projecting creating a feature map, wherein firms placed on this map are described by the characteristics of the regions in which they appear on the map, thereby helping visualize the attributes of the firms; (c) detection of groups corresponding to firms having similar characteristics in the feature map; (d) labelling each group; and applying selection criteria to qualify a firm suitable for a particular mandate, wherein the method further includes a step of transforming unstructured raw data of an RFP into a multi-dimensional space of metrics permitting a rational selection of a portfolio management firm.