  While collaboration among data scientists is a key to organizational
productivity, data analysts face significant barriers to achieving this end,
including data sharing, accessing and configuring the required computational
environment, and a unified method of sharing knowledge. Each of these barriers
to collaboration is related to the fundamental question of knowledge management
"how can organizations use knowledge more effectively?". In this paper, we
consider the problem of knowledge management in collaborative data analytics
and present ShareAL, an integrated knowledge management platform, as a solution
to that problem. The ShareAL platform consists of three core components: a full
stack web application, a dashboard for analyzing streaming data and a High
Performance Computing (HPC) cluster for performing real time analysis. Prior
research has not applied knowledge management to collaborative analytics or
developed a platform with the same capabilities as ShareAL. ShareAL overcomes
the barriers data scientists face to collaboration by providing intuitive
sharing of data and analytics via the web application, a shared computing
environment via the HPC cluster and knowledge sharing and collaboration via a
real time messaging application.
