Abstract: Systems and methods are provided that detect trends in clustered business listings. The last update time of a last attribute value of a business listing is determined. It is further determined whether a number of data providers supplying the last attribute value has decreased by at least a first predetermined percentage since the last date the last attribute value changed. Moreover, it is determined whether the number of data providers that have stopped supplying the last attribute value since the last date the attribute value changed is greater than the number of data providers that have begun supplying the last attribute value after the last date the last attribute value changed.

Abstract: A system and method is provided that detect a business listing having erroneous geospatial data. In one aspect, it is determined whether a first location and a second location are at least partially situated within a cell, the cell representing a geographic region having a predetermined area. If the first location and the second location are at least partially situated within the cell, it is determined whether a geospatial coordinate of the first location is within a predetermined radius of the second location. If it is determined that the geospatial coordinate of the first location is within a predetermined radius of the second location, the first location is flagged for inspection.