Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications

Michael Kaufmann, Tobias Eljasik-Swoboda, Christian Nawroth, Kevin Berwind, Marco Bornschlegl, Matthias Hemmje

Abstract

A reference model for big data management is proposed, together with a methodology for business enterprises to bootstrap big data projects. Similar to the business model canvas for marketing management, the big data management (BDM) canvas is a template for developing new (or mapping existing) big data applications, strategies and projects. It subdivides this task into meaningful fields of action. The BDM canvas provides a visual chart that can be used in workshops iteratively to develop strategies for generating value from data. It can also be used for project planning and project progress reporting. The canvas instantiates a big data reference meta-model, the BDM cube, which provides its meta-structure. In addition to developing and theorizing the proposed data management model, two case studies on pilot applications in companies in Switzerland and Austria provide a qualitative evaluation of our approach. Using the insights from expert feedback, we provide an outlook for further research.

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Paper Citation


in Harvard Style

Kaufmann M., Eljasik-Swoboda T., Nawroth C., Berwind K., Bornschlegl M. and Hemmje M. (2017). Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications . In Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-255-4, pages 149-156. DOI: 10.5220/0006397101490156


in Bibtex Style

@conference{data17,
author={Michael Kaufmann and Tobias Eljasik-Swoboda and Christian Nawroth and Kevin Berwind and Marco Bornschlegl and Matthias Hemmje},
title={Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications},
booktitle={Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2017},
pages={149-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006397101490156},
isbn={978-989-758-255-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications
SN - 978-989-758-255-4
AU - Kaufmann M.
AU - Eljasik-Swoboda T.
AU - Nawroth C.
AU - Berwind K.
AU - Bornschlegl M.
AU - Hemmje M.
PY - 2017
SP - 149
EP - 156
DO - 10.5220/0006397101490156