Abstract: A technique for managing data objects in a storage cluster includes splitting a media data object into multiple portions at boundaries within the media data object. The technique further includes transforming the portions of the media data object into segments that provide individually processable units and distributing the segments among multiple computing nodes of the storage cluster for storage therein.

Abstract: Systems and methods described herein retrieve data from a data store, the data comprising marketing data associated with a plurality of advertising channels disposed in a plurality of geographic units. The systems and methods pre-process the data to derive a pre-processed data set, and hierarchically cluster the pre-processed data set. The systems and methods further derive a reduced multicollinearity data set having one or more clusters based on the hierarchically clustering by reducing a distance metric among geographic units of the plurality of geographic units that are disposed inside the one or more clusters, and analyze the one or more clusters with a model to generate one or more visualizations used to increase an impression impact, increase a carryover, or a combination thereof, in at least one of the plurality of advertising channels.

Abstract: A technique for managing data objects in a storage cluster includes splitting a media data object into multiple portions at boundaries within the media data object. The technique further includes transforming the portions of the media data object into segments that provide individually processable units and distributing the segments among multiple computing nodes of the storage cluster for storage therein.