Business intelligence and business process management in banking operations

Proceedings of the International Conference on Information Technology Interfaces, ITI

Volumn , Issue , 2007, Pages 57-62

  Ćurko, Katarina ^a   Bach, Mirjana Pejic ^a   Radonić, Goran ^b  

^a UNIVERSITY OF ZAGREB   (Croatia)

^b Croatian Institute of History   (Croatia)

Author keywords

Banking; Business process intelligence; Business process management; Data mining; Data warehousing; Online analytical processing

Indexed keywords

BANKING; BANKING OPERATIONS; BUSINESS INTELLIGENCE; BUSINESS PROCESS INTELLIGENCE; BUSINESS PROCESS MANAGEMENT; COMPETITIVE ADVANTAGES; CUSTOMER RELATIONS; DATA MINING; DATA WAREHOUSING; EFFICIENT ANALYSIS; INTERNATIONAL CONFERENCES; IT SYSTEMS; NEW TECHNOLOGIES; ONLINE ANALYTICAL PROCESSING;

COMPETITION; COMPETITIVE INTELLIGENCE; ENTERPRISE RESOURCE MANAGEMENT; FINANCE; INDUSTRIAL ECONOMICS; INDUSTRIAL MANAGEMENT; INFORMATION MANAGEMENT; INFORMATION TECHNOLOGY; MANAGEMENT SCIENCE; PUBLIC RELATIONS;

TECHNOLOGY;

EID: 48349140836     PISSN: 13301012     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITI.2007.4283744     Document Type: Conference Paper

References (16)

1. Aalst, van der, W.M.P., et.al., (2006) "Business process mining: An industrial application", Information Systems, 2006 Elsevier B.V. (www.sciencedirect.com), article in press.
2. Chiang, D-A, Wang, Y-F, Lee, S-L, Lin, C-J, (2003) "Goal-oriented sequential pattern for network banking churn analysis", Expert Systems with Applications 25, 293-302, 2003 Elsevier Ltd. (www.sciencedirect.com)
3. Cohen, M.-D., (2004) "Exploiting response models - optimizing cross-sell and up-sell opportunities in banking", Information Systems 29, 327-341, 2003 Elsevier Ltd. (www.sciencedirect.com)
4. Di Renzo, B., Hillairet, M., Picard, M., Rifaut, A., Bernard, C., Hagen, D., Maar, P., Reinard, D., "Operational Risk management in Financial Institutions: Process Assessment in Concordance with Basel II", International Conference SPiCE 2005.
5. Girish, G.V., Banking Business Unit - Challenges and Achievements, Infosys, (www.infy.com/investor_usgaap/ppt/am2001_girish_final.ppt)
6. Grigori, D., et al., (2004) "Business Process Intelligence", Computers in Industry 53, 321-343, 2003Elsevier B.V., (www.sciencedirect.com)
7. Hsieh, N-C, (2004) "An integrated data mining and behavioral scoring model for analyzing bank customers", Expert Systems with Applications 27, 623-633, 2004 Elsevier Ltd. (www.sciencedirect.com)
8. IBM Corporation (2006). "IBM Industry Models for Financial Services - The Information FrameWork (IFW) Banking Data Warehouse", (www.ibm.com)
9. Kim, S-Y, Jung, T-S, Suh, E-H, Hwang, H-S, (2006) "Customer segmentation and strategy development based on customer lifetime value: A case study", Expert Systems with Applications 31, pp 101-107, 2005 Elsevier Ltd.
10. Lee, J.H., Park, S.C., (2005) "Intelligent profitable customers segmentation system based on business intelligence tools", Expert Systems with Applications 29, 145-152, 2005 Elsevier Ltd. (www.sciencedirect.com)
11. Lejeune, M.A.P.M., (2001) "Measuring the impact of data mining on churn management", Interner Research: electronic Networking Applications and Policym Volume 11, Number 5, 2001, pp.375-387, MBC University Press.
12. Liautaud, B., Hammond, M.: e-Business Intelligence, Turning Information into Knowlwdge into Profit, McGraw-Hill, New York, 2001.
13. Osterfelt, S.; Business Intelligence: The Intelligent Customer, DM Review [http://wdmreview.com], November 2000.
14. Radonic, G., "Synergy of ERP and BPM Systems", Proceedings of 11th HrOUG Croatian Convention of ORACLE Users, Umag, Croatia, Oct. 2006.
15. Turban, E., McLean, E., Wetherbe, J. (1999): Information Technology for Management: Making Connections for Strategic Advantage, 2nd Edition, John Wiley & Sons
16. Vrančić, I. (2001). Metode raspoznavanja uzoraka za analizu poslovno-financijskih podataka, MS Thesis, University of Zagreb, Fakultet elektrotehnike i računarstva.