Track: Data Analytics

Abstract

Today's decision-making processes in companies increasingly use the results of extensive big data analyses and their visualization. This requires appropriate visualization systems that enable flexible design and presentation of data evaluations in order to achieve insight in the meaning of the analysis results and their numerous dependencies of key figures and critical parameters. Such systems shall create transparency in decision-making situations and enable comprehensible and reliable decisions. This paper outlines the design and implemented use cases of a Mobile Enterprise Cockpit (MEC) as result of a research project carried out since 2015 together with several industrial partners. A MEC enables the visualization of decision-relevant company key figures and supports team-led ad-hoc analyses and simulations of management information within the framework of process analyses, business intelligence applications and big data applications. Small and medium-sized businesses in particular can use MECs as an easy to set up, easy to integrate and quickly adaptable system to prepare decisions in complex business processes. Implementations of the MEC as a reporting cockpit for supply chain management, as a visualization platform for waste reduction simulations and as a data analysis platform within the framework of big data analysis projects will be presented.