Enterprise Integration and Interoperability Improving Business Analytics

Georg Weichhart

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Paper

Enterprise Integration and Interoperability Improving Business Analytics

Topics: Cyber Physical Systems Interoperability

In Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: EI2N, 227-235, 2021

Author: Georg Weichhart

Affiliation: PROFACTOR GmbH, Steyr, Austria

Keyword(s): Enterprise Integration, Enterprise Interoperability, Business Analytics, Smart Grids.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:

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

@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 - EI2N},
year={2021},
pages={227-235},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010761600003062},
isbn={978-989-758-535-7},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - 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
PB - SciTePress