Applied Predictive Technologies, Inc.

Eshares, Inc.

Vrushali Vivek Paunikar

Mark James D'Agostino

Michael Monteiro

Evan Rosenman

Scott Ings

Andrew Crewson

Aaron Silverman

Alan Li

Japjit Singh Tulsi

Daniel Fike

Jerry O Talton, Iii

Neeraj Jain

Adam Nathan Savitzky

Methods and systems for an extensible, universal ledger. One of the methods includes receiving at a journal manager engine a register transaction type request for a first transaction type, the journal manager engine reading and writing to a journal that stores a history of object state and of code by which object state is changed, wherein the register transaction type request is based at least in part on a template and specifies at least one action that can be performed as part of the first transaction type; writing the transaction type request to the journal including an operation definition for the first transaction type; receiving a transaction request of the first transaction type; obtaining the operation definition from the journal; executing an operation in response to the transaction request to produce a transaction result; and recording the transaction result in the journal.

Extensible universal ledger

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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San Francisco, CA, United States of America

Vrushali Vivek Paunikar