Method and apparatus for generating performance curves
First Claim
1. A method of generating performance curves for enabling user customized marketing communications proficiency and performance optimization, comprising:
- collecting and storing historical vehicle data and response data relating to a marketing plan in a database;
normalizing said data to a standardized schema using a predictive analytics and forecasting engine;
performing non-linear polynomial regression analysis on the normalized data for generating a plurality of curves using said predictive analytics and forecasting engine;
displaying said plurality of curves to said user using at least one server computer and one user computer in communication with said predictive analytics and forecasting engine; and
creating a Vehicle Cast category for each distinct type of vehicle instance, creating a Default Classification category for each class of vehicle, and generating said plurality of curves for each said category resulting in Vehicle Cast curves and respective Default Classification curves representing performance of each said vehicle and Vehicle Cast category, wherein each of said plurality of curves is virtualized so as to be independent of any instances of said historical vehicle data and response data.
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Abstract
A system and a method are set forth for generating performance curves for enabling user customized marketing communications proficiency and performance optimization, comprising collecting and storing historical vehicle data and response data relating for a marketing plan, normalizing the data to a standardized schema, performing non-linear polynomial regression analysis on the normalized data for generating a plurality of curves representing performance of the marketing plan, and displaying said plurality of curves to the user. Preferably, the plurality of curves are generated by a predictive analytics and forecasting engine using an optimized Chebyshev polynomial curve selected to a desired closeness of fit to the normalized data.
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Citations
16 Claims
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1. A method of generating performance curves for enabling user customized marketing communications proficiency and performance optimization, comprising:
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collecting and storing historical vehicle data and response data relating to a marketing plan in a database; normalizing said data to a standardized schema using a predictive analytics and forecasting engine; performing non-linear polynomial regression analysis on the normalized data for generating a plurality of curves using said predictive analytics and forecasting engine; displaying said plurality of curves to said user using at least one server computer and one user computer in communication with said predictive analytics and forecasting engine; and creating a Vehicle Cast category for each distinct type of vehicle instance, creating a Default Classification category for each class of vehicle, and generating said plurality of curves for each said category resulting in Vehicle Cast curves and respective Default Classification curves representing performance of each said vehicle and Vehicle Cast category, wherein each of said plurality of curves is virtualized so as to be independent of any instances of said historical vehicle data and response data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for generating performance curves for a user customized marketing communications proficiency and performance optimization, comprising:
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a database for storing historical vehicle data and response data relating to a marketing plan; a predictive analytics and forecasting engine for retrieving and normalizing said data to a standardized schema, creating a Vehicle Cast category for each distinct type of vehicle instance, creating a Default Classification category for each class of vehicle and performing non-linear polynomial regression analysis on the normalized data for generating a plurality of curves for each said category resulting in Vehicle Cast curves and respective Default Classification curves, said curves representing performance of said marketing plan; and at least one server computer and one user computer in communication with said predictive analytics and forecasting engine for user managing of said plurality of curves and displaying said plurality of curves to said user, wherein each of said plurality of curves is virtualized so as to be independent of any instances of said historical vehicle data and response data. - View Dependent Claims (11, 12, 13, 14, 15, 16)
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Specification