Enterprise Integration and Interoperability Improving Business Analytics

Georg Weichhart

2021

Abstract

In applied research and industrial business analytics (BA) projects data preparation requires around 80% of the total effort. Preparation tasks include establishing technical, semantic interoperability of data and processes to generate value. Enterprise Integration and Interoperability (EI2) approaches address these challenges, but these approaches are hardly taken into account in business analytics. In this position paper, we analyse approaches for their contribution to improving business analytics by supporting the interoperability of data, services, processes and business in general. For more details, we focus on the application domain of smart grids. Existing and missing tool and methodological support as a basis for data-access required for efficient and effective descriptive, predictive and prescriptive business analytics.

Paper Citation

in Harvard Style

Weichhart G. (2021). Enterprise Integration and Interoperability Improving Business Analytics. In Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: EI2N, ISBN 978-989-758-535-7, pages 227-235. DOI: 10.5220/0010761600003062

in Bibtex Style

@conference{ei2n21,
author={Georg Weichhart},
title={Enterprise Integration and Interoperability Improving Business Analytics},
booktitle={Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: EI2N,},
year={2021},
pages={227-235},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010761600003062},
isbn={978-989-758-535-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: EI2N,
TI - Enterprise Integration and Interoperability Improving Business Analytics
SN - 978-989-758-535-7
AU - Weichhart G.
PY - 2021
SP - 227
EP - 235
DO - 10.5220/0010761600003062