Ignite Enterprise Software Solutions, Inc.

Ftc Solar, Inc.

Clickfox, LLC

Christopher Andrew Clarke

William Robert Bagley

Adam Rubin

Kyle Rattet

Joshua Templeton

David Holiday

Michael Herman

Jason Hodges

Pedro Quiñones

Andrew McGouirk

Jon B Wisda

Philip Cunnell

Stefanie Tuder

Nagendra Srinivas Cherukupalli

Andras Boross

Anastasios Golnas

Stephen James Voss

Joseph Philip

Analytical methods and systems applied to sequential event data are disclosed. An exemplary system and method analyzes datasets containing events in a plurality of journeys. The methods and systems described analyze and quantify the relative importance of events and sequences leading to outcomes where the data is complex and interconnected. In some embodiments, a graphical user interface illustrates the quantification of these datasets. In some embodiments, the graphical user interface maps the journey paths to show the relative importance of each journey path. In some embodiments, the maps of journey paths are interactive, allowing selection of paths of interest for detailed analysis. In some embodiments, the methods and systems calculate paths similar to a journey path of interest. An exemplary method and system also provides detailed recommendations for changing events within a sequence to either increase or decrease the likelihood of achieving a selected outcome.

Systems and methods for discovering and quantifying principal factors or dominant paths in interconnected journey data

Systems and methods for discovering and quantifying principal driving factors or dominant paths in interconnected journey data

Analytical methods and systems applied to a plurality of input files to understand and explain crucial factors leading to customers jumping, or hopping, from one channel to another channel. The methods and systems described may include receiving a first file associated with a first channel dataset and receiving a second file associated with a second channel dataset. The methods and systems described may include merging the two datasets based on key fields found within the metadata of the two files. In some embodiments, additional statistical metrics and measures may be applied to the merged dataset to both rank the merged events and to display the characteristics of each event within the entire merged dataset.

Systems and methods to discover and quantify key driving factors in digital containment data

A method for scheduling cleaning of a photovoltaic ('PV') system is implemented by a soiling monitoring computer system. The method includes determining a soiling level and a soiling rate for a photovoltaic (PV) system, calculating a cost associated with cleaning the PV system at each of a plurality of possible cleaning times, determining an expected energy output gain associated with cleaning the PV system at each of the plurality of possible times based on the soiling level and the soiling rate, calculating an expected benefit associated with cleaning the PV system at each of the plurality of possible cleaning times based on the expected energy output gain associated with each possible cleaning time, determining a first time of the plurality of possible times when the expected benefit exceeds the cost, and scheduling a cleaning time based on at least the determined first time.

Methods and systems for schedule-based and alert-based cleaning of PV systems

Growing community of inventors

Greenwood Village, CO, United States of America

Christopher Andrew Clarke