Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Business Intelligence and Performance Management: Introduction Read chapter Read first chapter

2013 | OriginalPaper | Chapter

2. An Integrated Business Intelligence Framework

Closing the Gap Between IT Support for Management and for Production

Authors : Hans-Georg Kemper, Henning Baars, Heiner Lasi

Published in: Business Intelligence and Performance Management

Publisher: Springer London

Log in

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

search-config
loading …

Abstract

Information Technology (IT) support in the manufacturing sector has reached a watershed with digital components beginning to permeate all products and processes. The classical divide between “technical” IT and “business” IT begins to blend more and more. Data from design, manufacturing, product use, service, and support is made available across the complete product lifecycle and supply chain. This goes hand in hand with the diffusion of sensor and identification technology and the availability of relevant information streams on the customer side—leading to unprecedented amounts of data. The challenge is to purposefully apply emerging BI concepts for a comprehensive decision support that integrates product and shop floor design phases, the steering and design of operational industrial processes, as well as big and unstructured data sources. This chapter brings those pieces together in order to derive an integrated framework for management and decision support in the manufacturing sector.

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!

inform now

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!

inform now

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!

inform now
previous chapter Business Intelligence and Performance Management: Introduction
next chapter Linking the Operational, Tactical and Strategic Levels by Means of CPM: An Example in the Construction Industry
Literature
1.
2.
Alter, A.: Business intelligence—are your BI systems making you smarter? CIO Insight 05/2003, 77–85 (2003)
3.
Baars, H., Kemper, H.G.: Management support with structured and unstructured data—an integrated business intelligence framework. Inf. Syst. Manag. 25(2), 132–148 (2008) CrossRef
4.
Baars, H., Kemper, H.G.: Ubiquitous computing—an application domain for business intelligence in the cloud? In: Proceedings of the 17th Americas Conference on Information Systems (AMCIS), USA (2011)
5.
Baars, H., Qie, L.: BI in the Cloud – Die Cloud als neuer Ansatz zur Erhöhung der BI-Agilität? BI Spektrum 7(2), 26–29 (2012)
6.
Baars, H., Sun, X.: Multidimensional analysis of RFID data in logistics. In: Proceedings of the 42th Hawaii International Conference on System Sciences (HICSS-42), USA (2009)
7.
Baars, H., Gille, D., Strüker, J.: Evaluation of RFID applications for logistics: a framework for identifying, forecasting and assessing benefits. Eur. J. Inf. Syst. (EJIS) 18(6), 578–591 (2009) CrossRef
8.
Baars, H., Kemper, H.G., Lasi, H., Siegel, M.: Combining RFID technology and business intelligence for supply chain optimization—scenarios for retail logistics. In: Proceedings of the 41th Hawaii International Conference on System Sciences (HICSS-41), USA (2008)
9.
Bottani, E., Bertolini, M., Montanari, R., Volpi, A.: RFID-enabled business intelligence modules for supply chain optimization. Int. J. Technol.: Res. Appl. 1(4), 253–278 (2009)
10.
Brinkmann, A., Effert, S., Heidebuer, M., Vodisek, M., Baars, H.: An integrated architecture for business intelligence support from application down to storage. In: Proceedings of the 3rd International Workshop on Storage Network Architecture and Parallel I/Os, Saint Louis, USA (2005)
11.
Bucher, T., Gericke, A.: Process-centric business intelligence. Bus. Process. Manag. J. 15(3), 408–429 (2009) CrossRef
12.
Cattell, R.: Scalable SQL and NoSQL data stores. SIGMOD Rec. 39(4), 12–27 (2010) CrossRef
13.
Cho, D.Y.: Ubiquitous data warehouse—integrating RFID with multidimensional online analysis. In: Proceedings of the San Diego International Systems Conference, San Diego (2005)
14.
Chow, H.K.H., Choy, K.L., Lee, W.B., Chan, F.T.S.: Design of a knowledge-based logistics strategy system. Expert Syst. Appl. 29, 272–290 (2005) CrossRef
15.
Curtin, J., Kauffman, R.J., Riggins, F.J.: Making the ‘Most’ out of RFID technology: a research agenda for the study of the adoption, usage and impact of RFID. Inf. Technol. Manag. 8(2), 87–110 (2007) CrossRef
16.
Dayal, U., Hsu, M., Ladin, R.: Business process coordination: state of the art, trends, and open issues. In: Proceedings of the 27th International Conference on Very Large Data Bases (VLDB), Italy (2001)
17.
Eckerson, W.E.: Best practices in operational BI—converging analytical and operational processes. In: TDWI best practice report, 3rd quarter 2007 (2007)
18.
Ehrlenspiel, K.: Integrierte Produktentwicklung, 3rd edn. Hanser, München (2007)
19.
Eigner, M., Stelzer, R.: Product Lifecycle Management, 2nd edn. Springer, Heidelberg (2009) CrossRef
20.
Fleisch, E.: What is the internet of things? An economic perspective. In: Auto-ID Labs white paper (WP-BIZAPP-053), Auto-ID Labs, St. Gallen (2010)
21.
Giannakakis, T., Vosniakos, G.C.: Sheet metal cutting and piercing operations planning and tools configuration by an expert system. Int. J. Adv. Manuf. Technol. 36(7–8), 658–670 (2008) CrossRef
22.
Golfarelli, M., Rizzi, S., Cella, I.: Beyond data warehousing: what’s next in business intelligence? In: Proceedings of the 7th ACM International Workshop on Data Warehousing and OLAP, USA (2004)
23.
Grigoria, D., Casatib, F., Castellanosb, M., Dayalb, U., Sayalb, M., Shan, S.C.: Business process intelligence. Comput. Ind. 53, 321–343 (2004) CrossRef
24.
25.
Günther, O., Kletti, W., Kurbach, U.: RFID in Manufacturing. Springer, Heidelberg (2008)
26.
Jacobs, A.: The pathologies of big data. Commun. ACM 52(8), 36–44 (2009) CrossRef
27.
Kemper, H.G., Baars, H.: From data warehouses to transformation hubs—a conceptual architecture. In: Proceedings of the 17th European Conference on Information Systems (ECIS), Italy (2009)
28.
Kemper, H.G., Baars, H., Mehanna, W.: Business Intelligence – Grundlagen und praktische Anwendungen, 3rd edn. Vieweg, Wiesbaden (2010) CrossRef
29.
Kendal, S.: An Introduction to Knowledge Engineering. Springer, London (2007) MATH
30.
Klawans, B.: Embedded or conventional BI—determining the right combination of BI for your business. Bus. Intell. J. 13(1), 30–36 (2008)
31.
Kletti, J.: Manufacturing Execution System: MES. Springer, Heidelberg (2007) CrossRef
32.
Koch, M., Baars, H., Lasi, H., Kemper, H.G.: Manufacturing execution systems and business intelligence for production environments. In: Proceedings of the 16th Americas Conference on Information Systems, Peru (2010)
33.
Lasi, H.: Industrial intelligence—a BI-based approach to enhance manufacturing engineering in industrial companies. In: Proceedings of the 8th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), Italy (2012)
34.
Lasi, H.: Decision support within knowledge-based engineering—a business intelligence-based concept. In: Proceedings of the 18th Americas Conference on Information Systems (AMCIS), USA (2012)
35.
Lasi, H., Hollstein, P., Kemper, H.G.: Heterogeneous IT landscapes in innovation processes—an empirical analyses of integration approaches. In: Proceedings of the International Conference Information Systems (IADIS), Portugal (2010)
36.
Lyytinnen, K., Yoo, Y.: Issues and challenges in ubiquitous computing. Commun. ACM 45(12), 42–65 (2002) CrossRef
37.
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.H.: Big Data: the Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute (2011)
38.
Marjanovic, O.: The next stage of operational business intelligence: creating new challenges for business process management. In: Proceedings of the 40th Annual Hawaii International Conference on System Sciences. IEEE Comput. Soc., New York (2007)
39.
Mell, P., Grance, T.: The NIST definition of cloud computing. National Institute of Standards and Technology, Special Publication 800-145 (2011)
40.
Platter, H.: A common database approach for OLTP and OLAP using an in-memory column database. In: Proceedings of the 2009 ACM SIGMOD International Conference on Management of Data, Providence, USA (2009)
41.
Plattner, H., Zeier, A.: In-Memory Data Management: An Inflection Point for Enterprise Applications. Springer, Heidelberg (2011)
42.
Pourshahid, A., Chen, P., Amyot, D., Weiss, M., Forster, A.J.: Business process monitoring and alignment: an approach based on the user requirements notation and business intelligence tools. In: Proceedings of the 10th Workshop of Requirement Engineering, Canada, pp. 149–159 (2007)
43.
Röhner, S., Breitsprecher, T., Wartzack, S.: Acquisition of design-relevant knowledge within the development of sheet-bulk metal forming. In: Proceedings of the International Conference on Engineering Design (ICED11), Denmark (2011)
44.
Song, M., van der Aalst, W.M.P.: Towards comprehensive support for organizational mining. Decis. Support Syst. 46(11), 300–317 (2008) CrossRef
45.
46.
Thomson, W.J.J., van der Walt, J.S.: Business intelligence in the cloud. South African J. Inf. Manag. 12(1), 1–5 (2010)
47.
van der Aalst, W.M.P., Weijters, J.M.M.: Process mining: a research agenda. Comput. Ind. 53(3), 231–244 (2004) CrossRef
48.
Weber, P.: Digital Mock-up im Maschinenbau. Shaker, Aachen (2003)
49.
50.
zur Mühlen, M.: Process-driven management information systems—combining data warehouses and workflow technology. In: Proceedings of the 4th International Conference on Electronic Commerce Research (ICECR-4), USA, pp. 550–566 (2001)
Metadata
Title
An Integrated Business Intelligence Framework
Authors
Hans-Georg Kemper
Henning Baars
Heiner Lasi
Copyright Year
2013
Publisher
Springer London
Book
Business Intelligence and Performance Management

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

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

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4471-4866-1_2

Premium Partner

    Image Credits