Applied Predictive Technologies, Inc.

Mark James D'Agostino

Anthony Dean Bruce

Vrushali Vivek Paunikar

Evan Rosenman

Michael Monteiro

Scott Ings

Aaron Silverman

Corey Christian Vaudo

Dacheng Zhao

Alan Li

Andrew Crewson

James Manzi

Andrew Fedorchek

Scott Howard Setrakian

Timothy Patrick O'Reilly, Jr

David William Kreps

A system, method, and article of manufacture is disclosed for determining optimal parameter settings for a business initiative testing model used for testing initiatives for business locations included in a business network. In one aspect, a method is disclosed that includes defining a first test type of a business initiative testing model having a set of parameter settings. Each parameter setting may include a set of one or more parameter setting options. The method may also include performing virtual tests on a set of virtual test sites based on the defined test type. Each virtual test site may reflect a selected business location in the business network. Also, the method may include determining a set of optimal parameter settings for the first test type of the business initiative testing model based on results from the virtual test. Moreover, the method may include configuring the business initiative testing model using the optimal parameter settings from the set for the first test type to test a business initiative to apply to the business network.

Methods, systems, and articles of manufacture for determining optimal parameter settings for business initiative testing models

The methods and systems described herein attempt to address the above-mentioned need by providing an algorithm and software capability to automatically detect and assess 'natural experiments' that exist in any underlying dataset. In one embodiment, a computer-implemented method for identifying an experiment to use in an analysis of a business initiative comprises storing, by a computer, a set of historical data regarding entities in a business network; receiving, by the computer, a selection of inputs for the historical data; detecting, by the computer, a natural experiment based upon changes in the discretized historical data; and outputting, by the computer, a report of a detected experiment from the discretized historical data.

Natural experiment finder system and method

The methods and systems described herein attempt to address the above-mentioned need by providing an algorithm and software capability to automatically detect and assess 'natural experiments' that exist in any underlying dataset. In one embodiment, a computer-implemented method for identifying an experiment to use in an analysis of a business initiative comprises storing, by a computer, a set of historical data regarding entities in a business network; receiving, by the computer, a selection of inputs for the historical data; detecting, by the computer, a natural experiment based upon changes in the historical data; and outputting, by the computer, a report of a detected experiment from the historical data.

Natural experiment finder

A system, method, and article of manufacture is disclosed for developing and managing a the test of a business initiative for a business network including business locations. In one aspect of the invention, a method is performed that includes performing a process for developing a business initiative to apply to the business network and performing a process for designing a test for the initiative. Further, the method includes executing the initiative at a set of test sites in accordance with the designed test, each test site corresponds to a selected business location in the business network. Also, performance results of the executed initiative may be analyzed and a rollout plan is created for implementing the initiative at a first set of business locations.

Methods, systems, and articles of manufacture for developing, analyzing, and managing initiatives for a business network

Methods, system, and articles of manufacture for developing analyzing, and managing initiatives for a business network

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Washington, DC, United States of America

Mark James D'Agostino