Abstract: Systems and methods are presented for the computational analysis of the potential relevance of digital data items to key performance indicators. A server system imports bulk amounts of digital data from one or more disparate network-accessible digital data sources. The server system comprises an insight module configured to implement a tree-structure analysis method to identify those events in the digital data most likely to impact selected performance indicators for a given business. The results of the tree-structure analysis method are presented to the business via a user interface displayed on a computing device operated by the business. The most relevant events are presented in a distinctive manner. A recommendation module may be provided to generate recommendations from the insights.