Applied Predictive Technologies, Inc.

Scott Ings

Mark James D'Agostino

Vrushali Vivek Paunikar

Alan Li

Evan Rosenman

Andrew Crewson

Aaron Silverman

Michael Monteiro

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

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Arlington, VA, United States of America

Scott Ings