Paper Info
Title
A Business Intelligence Approach to Support Decision Making in Service Evolution Management
Abstract
Service evolution management imposes complex challenges to a service provider. Identifying which changes are necessary and choosing the ones to implement are some of the decisions that providers have to face. The decision making process involves the estimation of change effects to minimize the impact over the direct and indirect clients of the service portfolio. While most existent works address either shallow changes impact or change management from a technical perspective, this paper proposes a Business Intelligence approach to support providers in decisions related to service evolution. The approach is based on the integration of services usage data and related business data, which can be correlated and presented to providers according to distinct organizational levels. One of the analysis dimensions is represented by usage profiles, which group similar usage patterns discovered from logs of services interactions. Through an illustrative scenario, we demonstrate some analysis possibilities. We also relate decisions to stakeholders and to a change-oriented lifecycle.
Year
DOI
Venue
2012
10.1109/SCC.2012.45
IEEE SCC
Keywords
Field
DocType
competitive intelligence,decision support systems,management of change,service-oriented architecture,business intelligence,change management,change-oriented lifecycle,decision making support,organizational levels,service evolution management,service portfolio,service provider,usage profiles,business intelligence,change impact,change management,evolution,service usage,web services
Competitive intelligence,Service design,Change management,Computer science,Decision support system,Knowledge management,Service provider,Business decision mapping,Business intelligence,Service delivery framework
Conference
Citations 
PageRank 
References 
4
0.43
13
Authors
4
Name
Order
Citations
PageRank
Ernando Silva150.80
Bruno Vollino2191.81
Karin Becker340.43
Galante, R.440.43