An Integrated Platform for Collaborative Data Analytics

TL;DR

This paper introduces ShareAL, an integrated platform that enhances collaborative data analytics by combining data sharing, a shared computational environment, and real-time knowledge exchange to improve organizational productivity.

Contribution

The paper presents ShareAL, a novel platform that uniquely integrates knowledge management with collaborative analytics, including a web app, streaming data dashboard, and HPC cluster.

Findings

Enables intuitive data and analytics sharing via web interface.

Provides a shared HPC environment for real-time analysis.

Facilitates knowledge sharing through real-time messaging.

Abstract

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.