Predictive modeling and data analysis in a secure shared system

Abstract

A system and method enables users to selectively expose and optionally monetize their data resources, for example on a web site. Data assets such as datasets and models can be exposed by the proprietor on a public gallery for use by others. Fees may be charged, for example, per new model, or per prediction using a model. Users may selectively expose public datasets or public models while keeping their raw data private.

We claim: 
     
         1 . A processor-implemented system comprising:
 (a) a source server for managing access to data;   (b) a dataset server for creating and managing access to a dataset created from a data source;   (c) a model server for creating and managing access to a model based on the dataset;   (d) a prediction server for creating and managing access to a prediction that results from utilizing the model;   (e) a user interface component that implements a corresponding private dashboard for each one of plural users of the system; and   (f) a public gallery component that, in cooperation with the user interface, implements a public gallery to enable a first user to selectively expose a dataset for use by other users of the system.   
     
     
         2 . The system according to  claim 1  wherein the public gallery component, in cooperation with the user interface, further enables a user to selectively expose a model for use by other users of the system. 
     
     
         3 . The system according to  claim 2  wherein the system further enables the first user to selectively expose either a white-box public model or a black-box public model for use by other users of the system. 
     
     
         4 . The system according to  claim 1  wherein the [dataset server] system is arranged to clone the dataset exposed in the public gallery to form a copy, and to provide the cloned copy as a private dataset for use by a second user, responsive to an indication of receipt of consideration from the second user. 
     
     
         5 . The system according to  claim 4  wherein the system is arranged to credit at least a portion of the consideration to an account of the first user. 
     
     
         6 . The system according to  claim 5  wherein the system further enables the second user to provide its private dataset to the model server to create a new model accessible in the second user's private dashboard. 
     
     
         7 . The system according to  claim 6  wherein the system further enables the second user to utilize its new model to create a new prediction accessible in the second user's private dashboard. 
     
     
         8 . The system according to  claim 6  wherein the first user elects to charge for each new prediction made by the second user, and the system responsively requires receipt of consideration from the second user for each additional new prediction initiated by the second user. 
     
     
         9 . A processor-implemented system comprising:
 (a) a source server for managing access to data;   (b) a dataset server for creating and managing access to a dataset created from a data source;   (c) a model server for creating and managing access to a model based on the dataset;   (d) a prediction server for creating a prediction from input data by utilizing the model;   (e) a user interface component that implements a corresponding private dashboard for at least one of plural users of the system; and   (f) a public gallery component that implements a public gallery and enables a user to selectively expose a dataset in the public gallery for use by other users of the system.   
     
     
         10 . The system according to  claim 9  wherein the system further enables the first user to offer access to the exposed dataset to a second user in exchange for a predetermined consideration. 
     
     
         11 . The system according to  claim 10  wherein the consideration is monetary. 
     
     
         12 . The system according to  claim 9  wherein the public gallery component further enables a first user to selectively expose a model owned by the first user for potential use by other users of the system. 
     
     
         13 . The system according to  claim 10  wherein the public gallery component enables the first user to selectively expose either a white-box public model or a black-box public model for potential use by other users of the system. 
     
     
         14 . The system according to  claim 11  wherein the system is arranged to clone the dataset exposed in the public gallery to form a copy, and to provide the cloned copy as a private dataset for use by a second user, responsive to an indication of receipt of consideration from the second user. 
     
     
         15 . A non-transitory, machine readable storage medium having stored thereon a series of instructions for causing one or more processors to perform operations comprising:
 accessing a data source to acquire raw data comprising a plurality of records of plural fields;   processing the acquired raw data to form a corresponding dataset;   responsive to input from a first user who owns the dataset, publishing the dataset to a public gallery;   collecting a fee from a second user to utilize the published dataset; and   cloning the dataset to form a copy for use by the second user.   
     
     
         16 . The non-transitory, machine readable storage medium according to  claim 15 , the stored instructions further causing the one or more processors to perform operations comprising:
 creating a model of a dataset;   responsive to input from a first user who owns the model, publishing the model to a public gallery; and   collecting a fee from a second user to utilize the published model to make a new prediction.   
     
     
         17 . The non-transitory, machine readable storage medium according to  claim 16  wherein the new prediction is based on applying the published model to new data provided by the second user.