Abstract: A system and method includes: implementing an intelligence and insights service; identifying an anomalous observation output by a data processing pipeline based on streams of data sourced from a subscriber to the intelligence and insights service; recursively inputting into a subset of the data processing pipeline of the intelligence and insights service a plurality of dimensions of the streams of data based on attributes of the anomalous observation; automatically identifying one or more driving factors causing the output of the anomalous observation based on an analysis within the subset of the data processing pipeline of plurality of dimensions of the streams of data; generating a story component based on a conversion of the one or more driving factors; and augmenting the story component to a pre-existing story relating to the anomalous observation that is provided to the subscriber via a user interface.

Abstract: A system and method for selecting tailored information to present to a subscriber, including receiving subscriber data, determining an analysis set based on the subscriber data, extracting abstract parameters from the subscriber data, selecting an analysis from the analysis set based on a general model and the abstract parameters, and presenting the selected analysis to the subscriber.

Abstract: A system and method for implementing a cloud-based data processing platform for identifying intelligence information and insights based on data from a plurality of data sources includes: receiving a plurality of data stream; normalizing each of a plurality of data points in the plurality of data streams; analyzing the normalized data points and associated meta data information; identifying relationships between at least two sets of the normalized data points; and identifying intelligence information and insights based on statistical attributes of the normalized data and identified relationships between them; converting the identified intelligence information and insights into one or more stories; and communicating the one or more stories to a user interface.

Abstract: A system and method for implementing a cloud-based data processing platform for identifying intelligence information and insights based on data from a plurality of data sources includes: receiving a plurality of data stream; normalizing each of a plurality of data points in the plurality of data streams; analyzing the normalized data points and associated meta data information; identifying relationships between at least two sets of the normalized data points; and identifying intelligence information and insights based on statistical attributes of the normalized data and identified relationships between them; converting the identified intelligence information and insights into one or more stories; and communicating the one or more stories to a user interface.