Abstract: Systems, methods, and computer program products are disclosed for providing a contextual recommendation corresponding to a visualization. An example method includes ingesting a data set from or more data sources, including applying rules that transform the data set into a standardized format. The subsets of the ingested data set are assigned based on a determined variable into population coverage ranges that correspond to statistical distributions of the determined variable. Distribution analysis is performed across at least one of the population coverage ranges to identify a distribution data set corresponding to the determined variable. The distribution set is parsed to identify a context recommendation. The identified context recommendation is mapped to a tag corresponding to the determined variable, and a visualization type corresponding to the distribution data set.

Abstract: Systems and methods for providing a merchant dashboard system include a system provider device that receives, through communication over a network with a merchant device, a request to create a merchant account and determine one or more merchant attributes, which the system provider device may thereby use to suggest one or more dashboard widgets. The system provider device may then receive a selection of one or more dashboard widgets, and thereby create a customized merchant dashboard based on the received selections. Thereafter, merchant usage data may be collected and additional dashboard widgets may be suggested, providing a mechanism to update the merchant dashboard with timely and relevant widgets that may be of use to the merchant. Thus, the embodiments described herein provide merchants with a customizable, intelligent merchant dashboard system that actively assists the merchant in the completion of a variety of merchant-related tasks.