loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Alejandro Vera Baquero and Owen Molloy

Affiliation: National University of Ireland, Ireland

ISBN: 978-989-8565-31-0

Keyword(s): Business Intelligence, Business Activity Monitoring, Business Performance Management, Business Process Analytics, Event Modelling, Business Process Execution Language.

Abstract: Business intelligence (BI) systems have become a powerful tool for business users in decision making. Through the analysis of historical (and increasingly, real-time) data, these systems assist end-users in achieving visibility on process and business performance. While traditionally used to discover trends and relationships in large, complex business data sets, there is a significant and growing demand for something more than the use of mere historical data and rudimentary analysis tools. There is a demand for more advanced analytics such as root cause analysis of performance issues, predictive analysis and the ability to perform “what-if” type simulations. This paper proposes a technological solution for one of the core components of these emerging BI systems, namely the ability to monitor and analyse the execution outcomes of business processes. This provides essential insight into business process performance, key intelligence in initiatives aimed at measuring and improving overa ll business performance, especially in highly distributed business processes, where this type of visibility is especially hard to achieve across heterogeneous systems. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.227.249.234

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Vera Baquero, A. and Molloy, O. (2012). A Framework to Support Business Process Analytics.In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: RDBPM, (IC3K 2012) ISBN 978-989-8565-31-0, pages 321-332. DOI: 10.5220/0004178103210332

@conference{rdbpm12,
author={Alejandro Vera Baquero. and Owen Molloy.},
title={A Framework to Support Business Process Analytics},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: RDBPM, (IC3K 2012)},
year={2012},
pages={321-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004178103210332},
isbn={978-989-8565-31-0},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: RDBPM, (IC3K 2012)
TI - A Framework to Support Business Process Analytics
SN - 978-989-8565-31-0
AU - Vera Baquero, A.
AU - Molloy, O.
PY - 2012
SP - 321
EP - 332
DO - 10.5220/0004178103210332

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.