DocumentCode :
3278455
Title :
Enhancing decision support in an automatic workflow management tool
Author :
Nagowah, Soulakshmee D. ; Philippe, C.C.C.
Author_Institution :
Comput. Sci. & Eng. Dept., Univ. of Mauritius, Réduit, Mauritius
Volume :
2
fYear :
2012
fDate :
12-14 June 2012
Firstpage :
948
Lastpage :
952
Abstract :
Project managers are often overloaded with large volume of complex information that they have difficulties to grasp the right, timely and reliable information. They subsequently seek the help of Business Intelligence (BI) tools to enable them extract valuable information to help them carry out their tasks more efficiently. For the past years, BI tools have been used in various fields such as banking, healthcare, transportation, agriculture and others. This paper aims to investigate how BI can be applied in the field of software engineering, more precisely, workflow management with the aim of enhancing decision support. For the purpose of this investigation, one of the BI systems, data mining has been integrated in an automatic workflow management tool. The paper discusses how this BI system influences the process of workflow management and resource allocation. Finally, the paper presents the results of the investigation.
Keywords :
competitive intelligence; data mining; decision support systems; resource allocation; software engineering; workflow management software; agriculture; automatic workflow management tool; banking; business intelligence tools; complex information; data mining; decision support; healthcare; project managers; reliable information; resource allocation; software engineering; transportation; Companies; Data mining; Market research; Measurement; Productivity; Resource management; Software; Automatic Workflow Management Tool; Business Intelligence; Data Mining; Decision Support; Resource Allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer & Information Science (ICCIS), 2012 International Conference on
Conference_Location :
Kuala Lumpeu
Print_ISBN :
978-1-4673-1937-9
Type :
conf
DOI :
10.1109/ICCISci.2012.6297162
Filename :
6297162
Link To Document :
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