Platform for In-Memory Analysis of Network Data Applied to Market Segmentation with Demand Estimates and Competitor Information

Abstract

A System and method for the application of in-memory analysis of network data applied to spatial market segmentation with demand estimates and competitor information comprising multiple data extractors, a descriptive module, a predictive module, a learning module, at least one application programming interface, and a visualization tool are disclosed. An example of network data is machine readable data that is acquired through an application programming interface. An example of in-memory analysis is the use of in-memory processing and storage objects. A descriptive module is configured to produce market features. An unsupervised learning module is configured to produce market segments and a visualization tool is configured to evaluate one or more market scenarios and to display market features with maps and charts.

Dependencies are inferred from the claim text.