Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method for calibrating irradiance sensors is performed by an irradiance analysis computing device in communication with a memory. The method includes receiving an irradiance estimate representing an expected amount of irradiance, receiving a first irradiance value associated with at least one irradiance sensor, processing the irradiance estimate and the first irradiance value to generate at least one irradiance metric, and determining a condition of said irradiance sensor based at least in part on the at least one irradiance metric.