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Leveraging big-data for business process analytics

  • This paper aims to present a solution that enables organizations to monitor and analyse the performance of their business processes by means of Big Data technology. Business process improvement can drastically influence in the profit of corporations and helps them to remain viable. However, the use of traditional Business Intelligence systems is not sufficient to meet today's business needs. They normally are business domain-specific and have not been sufficiently process-aware to support the needs of process improvement-type activities, especially on large and complex supply chains, where it entails integrating, monitoring and analysing a vast amount of dispersed event logs, with no structure, and produced on a variety of heterogeneous environments. This paper tackles this variability by devising different Big Data based approaches that aim to gain visibility into process performance.
Metadaten
Author: Alejandro Vera-Baquero, Ricardo Colomo-Palacios, Prof. Dr. Vladimir Stantchev, Owen Molloy
Parent Title (English):The Learning Organization
Document Type:Article
Language:English
Date of Publication (online):2016/06/28
Year of first Publication:2015
Publishing Institution:SRH Berlin University of Applied Sciences
Release Date:2016/06/28
Tag:Business intelligence; Business performance management; Business process analytics; Cloud computing
Volume:22
Issue:4
First Page:215
Last Page:228
Note:
Online: https://www.researchgate.net/publication/280088163_Leveraging_big-data_for_business_process_analytics
Link author profile:https://www.srh-berlin.de/hochschule/hochschulteam/stantchev-vladimir/
Peer-reviewed:Keine Angabe - No details
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung
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