Authors:
Michael Kaufmann
1
;
Tobias Eljasik-Swoboda
2
;
Christian Nawroth
2
;
Kevin Berwind
2
;
Marco Bornschlegl
2
and
Matthias Hemmje
2
Affiliations:
1
Lucerne School of Information Technology, Switzerland
;
2
University of Hagen, Germany
Keyword(s):
Data Management, Big Data, Reference Model, Project Management, Case Study, Pilot Application.
Related
Ontology
Subjects/Areas/Topics:
Big Data
;
Data Engineering
;
Data Management and Quality
;
Data Management for Analytics
;
Modeling and Managing Large Data Systems
;
Organizational Concepts and Best Practices
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 f
urther research.
(More)