A method and system including software makes predictions about potential business locations. The method includes the steps of providing heterogeneous data including a spatial component, extracting entities from the heterogeneous data, clustering the entities, and making a prediction about the business location using the clustered entities. Entities preferably include stores, people, or other physical objects and each has attributes. Preferably the entities include at least one of the following attributes: Value Ratio, Focal Values, Impact, Revenue Difference, Support, and Baseline Value. In this way, predictions made about the business locations will account for the nature of the business and enable comparison of one business location to another.