Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Business Intelligence and Performance Management: Introduction Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

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

verfasst von : Zafer-Korcan Görgülü, Stefan Pickl

Erschienen in: Business Intelligence and Performance Management

Verlag: Springer London

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

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.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren
Vorheriges Kapitel Linking the Operational, Tactical and Strategic Levels by Means of CPM: An Example in the Construction Industry
Nächstes Kapitel How to Introduce KPIs and Scorecards in IT Management
Literatur
1.
Albrecht, J.: The future role of photovoltaics: a learning curve versus portfolio perspective. Energy Policy 35, 2296–2304 (2007) MathSciNetCrossRef
2.
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)
3.
4.
Arnth-Jensen, N.: Applied Data Mining for Business Intelligence. Kongens Lyngby (2006)
5.
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.
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.
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.
Berson, A., Smith, S., Thearling, K.: Building Data Mining Applications for CRM. McGraw-Hill, New York (1999) MATH
9.
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.
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.
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.
Drucker, H., Wu, D., Vapnik, V.: Support vector machines for spam categorization. IEEE Trans. Neural Netw. 10(5), 1048–1054 (1999) CrossRef
13.
Grabmeier, J., Rudolph, A.: Techniques of cluster algorithms in data mining. Data Min. Knowl. Discov. 6, 303–360 (2002) MathSciNetCrossRef
14.
Hannula, M., Pirttimäki, V.: Business intelligence empirical study on the top 50 finish companies. J. Am. Acad. Bus. 2(2), 593–599 (2003)
15.
Hoffman, T.: 9 hottest skills for ’09. Comput. World 1(1), 26–27 (2009)
16.
Kemper, H.G., Mehanna, W., Unger, C.: Business Intelligence – Grundlagen und praktische Anwendungen, 2. Aufl. Vieweg, Wiesbaden (2006)
17.
Khan, R., Quadri, S.: Business intelligence: an integrated approach. Bus. Intell. J. 5(1), 64–70 (2012)
18.
Kudyba, S., Hoptroff, R.: Data Mining and Business Intelligence: A Guide to Productivity. Idea Group Publishing, Hershey (2001)
19.
20.
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.
Maier, M.: Architecting principles for system of systems. Syst. Eng. 1(4), 267–284 (1998) CrossRef
22.
Markowitz, H.: Portfolio selection. J. Finance 7(1), 77–91 (1952)
23.
Markowitz, H.: Portfolio Selection: Efficient Diversification of Investments. Wiley, New York (1959)
24.
Michalewicz, Z., Schmidt, M., Michalewicz, M., Chiriac, C.: Adaptive Business Intelligence. Springer, Berlin (2007) MATH
25.
Moss, L., Shaku, A.: Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications. Pearson Education, Upper Saddle River (2003)
26.
Negash, S.: Business intelligence. Commun. Assoc. Inf. Syst. 13(1), 177–195 (2004)
27.
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.
Raisinghani, M.: Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks. Idea Group Publishing, Hershey (2004)
29.
Richardson, J., Schlegel, K., Hostmann, B.: Magic quadrant for business intelligence platforms. Core research note: G00163529, Gartner (2009)
30.
Richardson, J., Schlegel, K., Hostmann, B., McMurchy, N.: Magic quadrant for business intelligence platforms. Core research note: G00154227, Gartner (2008)
31.
32.
33.
Sterman, J.: Business Dynamics – Systems Thinking and Modeling for a Complex World. McGraw-Hill, New York (2000)
34.
Thierauf, R.: Effective Business Intelligence Systems. Quorum Books, West Port (2001)
35.
Thomsen, E.: BI’s promised land. Intell. Enterprise 6(4), 21–25 (2003)
36.
Turban, E., Sharda, R., Aroson, J., King, D.: Business Intelligence: A Managerial Approach. Pearson, Upper Sadle River (2008)
37.
38.
39.
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.
Zhu, L., Fan, Y.: Optimization of china’s generating portfolio and policy implications based on portfolio theory. Energy 35, 1391–1402 (2010) CrossRef
Metadaten
Titel
Adaptive Business Intelligence: The Integration of Data Mining and Systems Engineering into an Advanced Decision Support as an Integral Part of the Business Strategy
verfasst von
Zafer-Korcan Görgülü
Stefan Pickl
Copyright-Jahr
2013
Verlag
Springer London
Buch
Business Intelligence and Performance Management

Print ISBN: 978-1-4471-4865-4

Electronic ISBN: 978-1-4471-4866-1

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-1-4471-4866-1_4