Analytic tool for evaluating average revenue per user for multiple revenue streams
First Claim
1. An analytic tool for analyzing revenue, the tool comprising:
- a data storage device (110) adapted to receive and store customer and revenue data;
a data manipulation module (114) associated with the data storage device (110) for deriving calculated values from data stored in the data storage device (110);
an interface device (118) for interacting with a user and displaying data including calculated values stored in the data storage device, the interface device (118) being adapted to display a diagnostic tree (140) representing an enterprise'"'"'s revenue stream de-composed into a plurality of contributory revenue components (60, 62, 64, 66) and a calculated value associated with revenue generated from one or more contributory components.
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Accused Products
Abstract
An analytic tool and method for investigating and analyzing a business'"'"'s revenue sources are provided. An analytic tool provides an interactive revenue decomposition tree (140) which breaks down a business'"'"'s various revenue streams into their constituent components. Individual revenue sources can be analyzed on a per customer or per user basis. The tool is capable of calculating and displaying the average revenue per user (52) (ARPU) of the various products and services that comprise the sources of the various revenue streams. Actual ARPU values may be compared to forecasted values or industry averages (54) for like products or services. An ARPU gap (56) may be calculated based on the differences between the actual ARPU values (52) and the forecasted or industry average values (54). The ARPU gap (56) may provide a simple quick measure of the overall performance of a revenue stream. A user may elect to view ARPU data at various breakdown levels of the revenue decomposition tree (140). If an intermediate level is displayed, the ARPU (52), ARPU reference (54) and ARPU gap (56) are calculated and displayed for whichever level is chosen. Further, the user may filter the ARPU data by various customer attributes in order to investigate ARPU among various segments of the customer population.
27 Citations
18 Claims
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1. An analytic tool for analyzing revenue, the tool comprising:
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a data storage device (110) adapted to receive and store customer and revenue data;
a data manipulation module (114) associated with the data storage device (110) for deriving calculated values from data stored in the data storage device (110);
an interface device (118) for interacting with a user and displaying data including calculated values stored in the data storage device, the interface device (118) being adapted to display a diagnostic tree (140) representing an enterprise'"'"'s revenue stream de-composed into a plurality of contributory revenue components (60, 62, 64, 66) and a calculated value associated with revenue generated from one or more contributory components. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A revenue analysis tool comprising:
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a data storage device (110) for storing customer and revenue data;
an access module (118) adapted to receive data from the data storage device (110), the access module (118) including a processor and processing instructions for generating a diagnostic tree (140) representing an enterprise'"'"'s revenue stream, the diagnostic tree (140) including average revenue per user values for components of the enterprise'"'"'s revenue stream derived from data stored in the data storage device (110); and
an interface for displaying the diagnostic tree (140) and allowing a user to select portions (300, 400, 500, 600) of the diagnostic tree (140) to be displayed, and wherein the average revenue per user values are calculated and displayed for components of the revenue stream contained in the portion (300, 400, 500, 600) of the diagnostic tree selected to be displayed. - View Dependent Claims (11, 12, 13, 14, 15, 16)
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17. A method of analyzing revenue comprising:
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constructing a diagnostic tree (140) depicting an enterprise'"'"'s revenue sources (102, 104, 106) divided into a plurality of separate revenue components (58);
receiving customer and revenue data;
allocating revenue to appropriate revenue components of the diagnostic tree (140) based on customer use of products or services associated with revenue components;
calculating an average revenue per user (52) of the products or services associated with the revenue components; and
displaying at least a portion (300, 400, 500, 600) of the diagnostic tree (140), including an average revenue per user value (52) for products or services associated with a revenue component included in the portion (300, 400, 500, 600) of the diagnostic tree (140) displayed. - View Dependent Claims (18)
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Specification