Analysis of time-based geospatial mashups using AD HOC visual queries
First Claim
1. A computer-implemented method for analyzing customer-based business data, comprising the steps of:
- streaming customer-based business data related to customers and their shopping transactions from data sources operatively coupled to the internet, including servers, computer systems and sensors, to a client computer system;
displaying customer-based business data on a map or other geographic representation in a first window within a web browser on the client computer system;
displaying customer-based business data on a timeline in the first or a second window within the web browser on the client computer system;
linking and correlating the customer-based business data between the displays in the web browser to form mashup data; and
displaying additional map layers comprising store locations wherein an additional map layer further comprises a representative store floor plan having at least one aisle and at least one shelf, and wherein the method further comprises zooming in to view sales and inventory data for a specific floor, a specific aisle, and a specific shelf of the store floor plan.
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Accused Products
Abstract
An apparatus in one example has an analytical environment for mashup data having visual analysis metaphors, and linking and correlation functionality among the visual analysis metaphors. A system may have: at least one store having a predetermined floor plan layout; at least one predetermined location on the predetermined floor plan layout for displaying at least one product; analytical environment for mashup data having visual analysis metaphors, the mashup data formed from data indiciative of the predetermined floor plan layout, and data indicated of sales of the at least one product; and linking and correlation functionality among the visual analysis metaphors through a web browser. In one example, a plurality of products may be positioned on a plurality of shelves, and may be depicted in a geographical display. Sales of each product may be depicted in a in time line display that is linked to the geographical display.
299 Citations
18 Claims
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1. A computer-implemented method for analyzing customer-based business data, comprising the steps of:
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streaming customer-based business data related to customers and their shopping transactions from data sources operatively coupled to the internet, including servers, computer systems and sensors, to a client computer system; displaying customer-based business data on a map or other geographic representation in a first window within a web browser on the client computer system; displaying customer-based business data on a timeline in the first or a second window within the web browser on the client computer system; linking and correlating the customer-based business data between the displays in the web browser to form mashup data; and displaying additional map layers comprising store locations wherein an additional map layer further comprises a representative store floor plan having at least one aisle and at least one shelf, and wherein the method further comprises zooming in to view sales and inventory data for a specific floor, a specific aisle, and a specific shelf of the store floor plan. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A computer-implemented method for analyzing customer-based business data, comprising the steps of:
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providing a web browser-based thin client for having GIS (Geographic Information System) functionality for displaying map and image data; streaming customer-based business data in the form of GML (geographic markup language, KML (Keyhole Markup Language) or GPX (GPS Tracks) data from sources operatively coupled to the internet to the thin client; displaying customer-based business data on a map or other geographic representation in a first window within a web browser-based thin client; displaying customer-based business data on a timeline in the first or a second window within the web browser-based thin client; displaying customer-based business data using visual analysis metaphors in the first, the second or a third window within the web browser-based thin client; linking and correlating the customer-based business data between the displays in the web browser-based thin client to form mashup data. - View Dependent Claims (13, 14, 15, 16, 17, 18)
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Specification