DocumentCode
2284353
Title
Estimating business value of IT services through process complexity analysis
Author
Diao, Yixin ; Bhattacharya, Kamal
Author_Institution
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY
fYear
2008
fDate
7-11 April 2008
Firstpage
208
Lastpage
215
Abstract
In this paper we propose a methodology to estimate business value of IT services. We investigate how to apply quantitative studies for IT service management processes that allows us to link measurable performance improvements with concrete business value. Specifically, we follow an Information Technology Infrastructure Library (ITIL) defined strategy combined with process complexity analysis techniques. This helps to reason about inefficiencies in IT service processes due to problems with coordination of different roles, lack of support for task execution, and complexities for getting the source of information. Our approach consists in (1) identifying the process context using ITIL as a reference framework, (2) quantifying process baseline with typical task execution time and underlying complexity, (3) estimating performance improvement achieved by tooling deployment or process transformation, and (4) estimating business value derived for various business cases. We illustrate our methodology using the change management process as defined in IBM Tivoli Unified Process (ITUP) and estimating the business value of implementing an application discovery tool and a change management tool.
Keywords
information technology; management of change; telecommunication network management; IBM Tivoli Unified Process; IT service management; ITIL defined strategy; Information Technology Infrastructure Library; business value estimation; change management tool; discovery tool; process complexity analysis; task execution; Costs; Information management; Information technology; Innovation management; Investments; Libraries; Outsourcing; Software packages; Steady-state; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Operations and Management Symposium, 2008. NOMS 2008. IEEE
Conference_Location
Salvador, Bahia
ISSN
1542-1201
Print_ISBN
978-1-4244-2065-0
Electronic_ISBN
1542-1201
Type
conf
DOI
10.1109/NOMS.2008.4575136
Filename
4575136
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