Real time interactive prediction

A physical computer readable storage device having computer executable instructions stored thereon that when executed by one or more processors causes the following to be performed:

• providing a user interface to a user, the user interface identifying one or more ancillary datasets, the ancillary datasets being identified to the user based on the ancillary datasets meeting a threshold condition to a historical dataset, the ancillary datasets being selectable by the user in the user interface;
• receiving user input at the user interface selecting one or more of the ancillary datasets;
• and
• displaying a predictive dataset to the user, the predictive dataset predicting either future data values or past data values for the historical dataset, the predictive dataset being determined by predictive evaluation of the historical dataset and the one or more selected ancillary datasets.

In a computing environment, a system for providing predictive data predicting data values for a historical dataset, the predictive data predicting either future values for the historical data set or past values for the historical dataset, the system further facilitating improving the accuracy of the predictive data by identifying for a user, and allowing the user to select ancillary datasets that can be evaluated, using a predictive evaluation, together with a historical dataset to improve the accuracy of the predictive data, the system comprising

• one or more processors;
• and
• one or more computer readable media, wherein the one or more computer readable media comprise computer executable instructions that when executed by at least one of the one or more processors cause the following to be performed:
• providing a user interface to a user, the user interface identifying one or more ancillary datasets, the ancillary datasets being identified to the user based on the ancillary datasets meeting a threshold condition to a historical dataset, the ancillary datasets being selectable by the user in the user interface;
• receiving user input at the user interface selecting one or more of the ancillary datasets;
• and
• displaying a predictive dataset to the user, the predictive dataset predicting either future data values or past data values for the historical dataset, the predictive dataset being determined by predictive evaluation of the historical dataset and the one or more selected ancillary datasets.

A computer-implemented method performed by one or more processors when executing computer-executable instructions, wherein the computer-implemented method controls an interface in a manner that permits the interface to enhance the ability to more accurately forecast predicted values for either future or past values for a historical dataset, the computer-implemented method comprising:

• storing in a database a historical dataset from which predicted values may be forecast;
• storing in the database a plurality of ancillary datasets;
• the one or more processors identifying one or more ancillary datasets that meet one or more threshold conditions by correlating in one or more ways to the predicted values that may be forecast from the historical dataset;
• based on meeting the threshold condition, presenting at a user interface at least some of the identified ancillary datasets for selection;
• based on selection of at least one of the ancillary datasets presented at the user interface for selection, the one or more processors presenting at the user interface a predictive dataset that is derived from a combination of the historical dataset and the selected at least one ancillary dataset;
• determining a forecast method;
• and
• the one or more processors applying the determined forecast method to the predictive dataset to enhance the forecast for the predicted values in a manner the improves the accuracy of the predicted values as compared to forecasting them based solely on the historical dataset.