Skip to main content
Top

2013 | OriginalPaper | Chapter

4. Adaptive Business Intelligence: The Integration of Data Mining and Systems Engineering into an Advanced Decision Support as an Integral Part of the Business Strategy

Authors : Zafer-Korcan Görgülü, Stefan Pickl

Published in: Business Intelligence and Performance Management

Publisher: Springer London

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

IT-based decision support is in the heart of business intelligence. It should be based on a successful integration of data analysis techniques and certain system engineering (like system dynamics) concepts. This contribution introduces in the large realm of IT-based decision support and its meaning for a modern business strategy. Central is the relationship to Business Intelligence with its own characteristics and requirements. The relevant data mining techniques are summarized and characterized by its special role within traditional business intelligence approaches.
As an holistic approach this chapter tends to combine a classical data-centric approach with a modern system-engineering concept (“system of systems”-thinking). As a result, this new approach leads to an advanced concept of Adaptive Business Intelligence. It will be characterized and described by several successful examples.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Albrecht, J.: The future role of photovoltaics: a learning curve versus portfolio perspective. Energy Policy 35, 2296–2304 (2007) MathSciNetCrossRef Albrecht, J.: The future role of photovoltaics: a learning curve versus portfolio perspective. Energy Policy 35, 2296–2304 (2007) MathSciNetCrossRef
2.
go back to reference Anderson-Lehman, R., Watson, H., Wixom, B., Hoffer, J.: Continental airlines flies high with real-time business intelligence. MIS Q. Exec. 3(4), 163–176 (2004) Anderson-Lehman, R., Watson, H., Wixom, B., Hoffer, J.: Continental airlines flies high with real-time business intelligence. MIS Q. Exec. 3(4), 163–176 (2004)
4.
go back to reference Arnth-Jensen, N.: Applied Data Mining for Business Intelligence. Kongens Lyngby (2006) Arnth-Jensen, N.: Applied Data Mining for Business Intelligence. Kongens Lyngby (2006)
5.
go back to reference Awerbuch, S., Jansen, J., Beurskens, L.: Portfolio-Based Electricity Generation Planning: The Role of Renewables in Enhancing Energy Diversity and Security in Tunisia. United Nations Environment Programme (2005) Awerbuch, S., Jansen, J., Beurskens, L.: Portfolio-Based Electricity Generation Planning: The Role of Renewables in Enhancing Energy Diversity and Security in Tunisia. United Nations Environment Programme (2005)
6.
go back to reference Azevedo, A., Santos, M.: Business intelligence: state of the art, trends, and open issues. In: Proceedings of the First International Conference on Knowledge Management and Information Sharing, KMIS 2009, pp. 296–300 (2009) Azevedo, A., Santos, M.: Business intelligence: state of the art, trends, and open issues. In: Proceedings of the First International Conference on Knowledge Management and Information Sharing, KMIS 2009, pp. 296–300 (2009)
7.
go back to reference Berner, E.: Clinical Decision Support Systems: State of the Art. AHRQ Publication No. 09-0069-EF. Agency for Healthcare Research and Quality, Rockville (2006) Berner, E.: Clinical Decision Support Systems: State of the Art. AHRQ Publication No. 09-0069-EF. Agency for Healthcare Research and Quality, Rockville (2006)
8.
go back to reference Berson, A., Smith, S., Thearling, K.: Building Data Mining Applications for CRM. McGraw-Hill, New York (1999) MATH Berson, A., Smith, S., Thearling, K.: Building Data Mining Applications for CRM. McGraw-Hill, New York (1999) MATH
9.
go back to reference Bruce, P.: Decision-making in airline operations: the importance of identifying decision considerations. Int. J. Aviation Manag. 1(1,2), 89–104 (2011) CrossRef Bruce, P.: Decision-making in airline operations: the importance of identifying decision considerations. Int. J. Aviation Manag. 1(1,2), 89–104 (2011) CrossRef
10.
go back to reference Clark, T., Jones, M., Armstrong, C.: The dynamic structure of management support systems: theory development, research, focus, and direction. Manag. Inf. Syst. Q. 31(3), 579–615 (2007) Clark, T., Jones, M., Armstrong, C.: The dynamic structure of management support systems: theory development, research, focus, and direction. Manag. Inf. Syst. Q. 31(3), 579–615 (2007)
11.
go back to reference Cooper, K., Mullen, T.: Swords and plowshares: the rework cycles of defense and commercial software development projects. Am. Program. 6(5), 41–51 (1993) Cooper, K., Mullen, T.: Swords and plowshares: the rework cycles of defense and commercial software development projects. Am. Program. 6(5), 41–51 (1993)
12.
go back to reference Drucker, H., Wu, D., Vapnik, V.: Support vector machines for spam categorization. IEEE Trans. Neural Netw. 10(5), 1048–1054 (1999) CrossRef Drucker, H., Wu, D., Vapnik, V.: Support vector machines for spam categorization. IEEE Trans. Neural Netw. 10(5), 1048–1054 (1999) CrossRef
13.
go back to reference Grabmeier, J., Rudolph, A.: Techniques of cluster algorithms in data mining. Data Min. Knowl. Discov. 6, 303–360 (2002) MathSciNetCrossRef Grabmeier, J., Rudolph, A.: Techniques of cluster algorithms in data mining. Data Min. Knowl. Discov. 6, 303–360 (2002) MathSciNetCrossRef
14.
go back to reference Hannula, M., Pirttimäki, V.: Business intelligence empirical study on the top 50 finish companies. J. Am. Acad. Bus. 2(2), 593–599 (2003) Hannula, M., Pirttimäki, V.: Business intelligence empirical study on the top 50 finish companies. J. Am. Acad. Bus. 2(2), 593–599 (2003)
15.
go back to reference Hoffman, T.: 9 hottest skills for ’09. Comput. World 1(1), 26–27 (2009) Hoffman, T.: 9 hottest skills for ’09. Comput. World 1(1), 26–27 (2009)
16.
go back to reference Kemper, H.G., Mehanna, W., Unger, C.: Business Intelligence – Grundlagen und praktische Anwendungen, 2. Aufl. Vieweg, Wiesbaden (2006) Kemper, H.G., Mehanna, W., Unger, C.: Business Intelligence – Grundlagen und praktische Anwendungen, 2. Aufl. Vieweg, Wiesbaden (2006)
17.
go back to reference Khan, R., Quadri, S.: Business intelligence: an integrated approach. Bus. Intell. J. 5(1), 64–70 (2012) Khan, R., Quadri, S.: Business intelligence: an integrated approach. Bus. Intell. J. 5(1), 64–70 (2012)
18.
go back to reference Kudyba, S., Hoptroff, R.: Data Mining and Business Intelligence: A Guide to Productivity. Idea Group Publishing, Hershey (2001) Kudyba, S., Hoptroff, R.: Data Mining and Business Intelligence: A Guide to Productivity. Idea Group Publishing, Hershey (2001)
20.
go back to reference Lyneis, J., Cooper, K., Els, S.: Strategic management of complex projects: a case study using system dynamics. Syst. Dyn. Rev. 17, 237–260 (2001) CrossRef Lyneis, J., Cooper, K., Els, S.: Strategic management of complex projects: a case study using system dynamics. Syst. Dyn. Rev. 17, 237–260 (2001) CrossRef
21.
go back to reference Maier, M.: Architecting principles for system of systems. Syst. Eng. 1(4), 267–284 (1998) CrossRef Maier, M.: Architecting principles for system of systems. Syst. Eng. 1(4), 267–284 (1998) CrossRef
22.
go back to reference Markowitz, H.: Portfolio selection. J. Finance 7(1), 77–91 (1952) Markowitz, H.: Portfolio selection. J. Finance 7(1), 77–91 (1952)
23.
go back to reference Markowitz, H.: Portfolio Selection: Efficient Diversification of Investments. Wiley, New York (1959) Markowitz, H.: Portfolio Selection: Efficient Diversification of Investments. Wiley, New York (1959)
24.
go back to reference Michalewicz, Z., Schmidt, M., Michalewicz, M., Chiriac, C.: Adaptive Business Intelligence. Springer, Berlin (2007) MATH Michalewicz, Z., Schmidt, M., Michalewicz, M., Chiriac, C.: Adaptive Business Intelligence. Springer, Berlin (2007) MATH
25.
go back to reference Moss, L., Shaku, A.: Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications. Pearson Education, Upper Saddle River (2003) Moss, L., Shaku, A.: Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications. Pearson Education, Upper Saddle River (2003)
26.
go back to reference Negash, S.: Business intelligence. Commun. Assoc. Inf. Syst. 13(1), 177–195 (2004) Negash, S.: Business intelligence. Commun. Assoc. Inf. Syst. 13(1), 177–195 (2004)
27.
go back to reference Nemati, H., Steiger, D., Iyer, L., Herschel, R.: Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing. Decis. Support Syst. 33(1), 143–161 (2002). doi:10.1016/S0167-9236(01)00141-5 CrossRef Nemati, H., Steiger, D., Iyer, L., Herschel, R.: Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing. Decis. Support Syst. 33(1), 143–161 (2002). doi:10.​1016/​S0167-9236(01)00141-5 CrossRef
28.
go back to reference Raisinghani, M.: Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks. Idea Group Publishing, Hershey (2004) Raisinghani, M.: Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks. Idea Group Publishing, Hershey (2004)
29.
go back to reference Richardson, J., Schlegel, K., Hostmann, B.: Magic quadrant for business intelligence platforms. Core research note: G00163529, Gartner (2009) Richardson, J., Schlegel, K., Hostmann, B.: Magic quadrant for business intelligence platforms. Core research note: G00163529, Gartner (2009)
30.
go back to reference Richardson, J., Schlegel, K., Hostmann, B., McMurchy, N.: Magic quadrant for business intelligence platforms. Core research note: G00154227, Gartner (2008) Richardson, J., Schlegel, K., Hostmann, B., McMurchy, N.: Magic quadrant for business intelligence platforms. Core research note: G00154227, Gartner (2008)
33.
go back to reference Sterman, J.: Business Dynamics – Systems Thinking and Modeling for a Complex World. McGraw-Hill, New York (2000) Sterman, J.: Business Dynamics – Systems Thinking and Modeling for a Complex World. McGraw-Hill, New York (2000)
34.
go back to reference Thierauf, R.: Effective Business Intelligence Systems. Quorum Books, West Port (2001) Thierauf, R.: Effective Business Intelligence Systems. Quorum Books, West Port (2001)
35.
go back to reference Thomsen, E.: BI’s promised land. Intell. Enterprise 6(4), 21–25 (2003) Thomsen, E.: BI’s promised land. Intell. Enterprise 6(4), 21–25 (2003)
36.
go back to reference Turban, E., Sharda, R., Aroson, J., King, D.: Business Intelligence: A Managerial Approach. Pearson, Upper Sadle River (2008) Turban, E., Sharda, R., Aroson, J., King, D.: Business Intelligence: A Managerial Approach. Pearson, Upper Sadle River (2008)
39.
go back to reference Xing, Z., Pei, J., Yu, P.S.: Early prediction on time series: a nearest neighbor approach. In: Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09), pp. 1297–1302 (2009) Xing, Z., Pei, J., Yu, P.S.: Early prediction on time series: a nearest neighbor approach. In: Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09), pp. 1297–1302 (2009)
40.
go back to reference Zhu, L., Fan, Y.: Optimization of china’s generating portfolio and policy implications based on portfolio theory. Energy 35, 1391–1402 (2010) CrossRef Zhu, L., Fan, Y.: Optimization of china’s generating portfolio and policy implications based on portfolio theory. Energy 35, 1391–1402 (2010) CrossRef
Metadata
Title
Adaptive Business Intelligence: The Integration of Data Mining and Systems Engineering into an Advanced Decision Support as an Integral Part of the Business Strategy
Authors
Zafer-Korcan Görgülü
Stefan Pickl
Copyright Year
2013
Publisher
Springer London
DOI
https://doi.org/10.1007/978-1-4471-4866-1_4

Premium Partner