Skip to main content
SpringerLink
Log in
Book cover

International Conference on Business Information Systems

BIS 2014: Business Information Systems Workshops pp 307–317Cite as

Cloud Business Intelligence

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 183))

Abstract

During the last two decades technology evolved in a way that resulted in massive data. Enterprises built expensive infrastructures to turn data into valuable information in support of the management’s decision making, giving rise to Business Intelligence. Even though, the cost of such infrastructures has been significantly reduced, the economic crisis limited the business budgets, especially for small and medium enterprises, in ways that they could not afford setting up high performance infrastructures. The concept of cloud computing addresses the problem of scalability, agility and cost by allowing enterprises to access powerful tools and services without having to purchase the solutions or the infrastructure needed. This paper describes the concept of Cloud Business Intelligence and addresses the benefits, problems and challenges raised when applied in the real business world.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Armbrust, M., Fox, A., Griffith, R., Joseph, A., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I. Zaharia, M.: Above the clouds: a Berkeley view of cloud computing. UC Berkeley technical report (2009)

    Google Scholar 

  2. Baars, H., Kemper, H.G.: Business intelligence in the cloud? PACIS 2010 Proceedings, Paper 145 (2010). http://aisel.aisnet.org/pacis2010

  3. Birst: Why cloud BI? The 10 substantial benefits of software-as-a-service business intelligence. White paper, Birst Inc. (2010)

    Google Scholar 

  4. Boateng, O., Singh, J., Singh, G.P.: Data warehousing. Bus. Intell. J. 5(2) (2012)

    Google Scholar 

  5. Chen, H., Chiang, R.H.L., Storey, V.C.: Business intelligence and analytics: from big data to big impact. MIS Q. (Special Issue: Business Intelligence Research) 36(4) (2012)

    Google Scholar 

  6. Davenport, T.H.: Business intelligence and organizational decisions. Int. J. Bus. Intell. Res. 1(1), 1–12 (2010)

    Article  Google Scholar 

  7. Davenport, T.H., Harris, J.G., De Long, D.W., Jacobsen, A.L.: Data to knowledge to results: building an analytic capability. Calif. Manag. Rev. 43(2), 117–138 (2001)

    Article  Google Scholar 

  8. Druzdzel, M.J., Flynn, R.R.: Decision support systems. In: Kent, A. (ed.) Encyclopedia of Library and Information Science. Marcel Dekker, New York (1999)

    Google Scholar 

  9. Eckerson, W.W.: Implementing BI in the cloud. The Data Warehousing Institute, 23 June 2009. http://tdwi.org/blogs/wayne-eckerson/2009/06/implementing-bi-in-the-cloud.aspx

  10. Eckerson, W.W.: Series on cloud computing for business intelligence professionals. BeyeNetwork: Global Coverage of the Business Intelligence Ecosystem. Blog: Wayne Eckerson (2011). http://www.b-eye-network.com/blogs/eckerson/archives/cloud_computing

  11. Ereth, J., Dahl, D.: Business intelligence in the cloud: fundamentals for a service-based evaluation concept. Workshop Business Intelligence WSBI 13 (2013). http://ceur-ws.org/Vol1049/paper1.pdf

  12. Gartner Symposium 2006: Business Intelligence (2006)

    Google Scholar 

  13. Gartner: Cloud computing. http://www.gartner.com/technology/topics/cloud-computing.jsp

  14. Gartner: By 2017, the hybrid cloud will rule, October 2013. https://community.csc.com/community/cio-engage/blog/2013/10/22/gartner-by-2017-the-hybrid-cloud-will-rule

  15. Gartner: Magic quadrant for business intelligence and analytics platforms, February 2014. http://www.gartner.com/document/2668318?toggle=1

  16. Gentile, B.: The BI revolution: cloud BI progress and pitfalls. The Data Warehousing Institute, March 2012. http://tdwi.org/articles/2012/03/13/cloud-bi-progress-and-pitfalls.aspx

  17. Kimball, R.: The Data Warehouse Toolkit. Wiley, New York, ISBN 0-471-15337-0 (1996)

    Google Scholar 

  18. Klipfolio: What is cloud business intelligence. http://www.klipfolio.com/resources/articles/what-is-cloud-business-intelligence

  19. Lachlan, J.: Business Intelligence in Cloud (Part 1 & 2). Yellowfin News & Blog, 6 October 2010

    Google Scholar 

  20. Larson, B.: Delivering Business Intelligence with Microsoft SQL Server. McGraw-Hill Osborne, New York (2008)

    Google Scholar 

  21. Luhn, H.P.: A business intelligence system. IBM J. Res. Dev. 2(4), 314–319 (1958)

    Article  Google Scholar 

  22. McDonald, K., Wilmsmeier, A., Dixon, D.C., Inmon, W.H.: Mastering the SAP Business Information Warehouse, 2nd edn. Wiley, New York (2006)

    Google Scholar 

  23. McKendrick, J.: BI, delivered from the cloud. EbizQ net: the insider’s guide to next-generation BPM – BI in action, 31 December 2007 http://www.ebizq.net/blogs/niinaction/2007/12/bi_delivered_from_the_cloud.php

  24. Mell, P., Grance, T.: Draft NIST working definition of cloud computing. National Institute of Standards and Technology, Information Technology Laboratory, Version 15, http://www.nist.gov/itl/cloud/upload/cloud-def-v15.pdf (2009)

  25. Xu, M., Gao, D., Deng, C., Luo, Z., Sun, S.: Cloud computing boosts business intelligence of telecommunication industry. In: Jaatun, M.G., Zhao, G., Rong, C. (eds.) Cloud Computing. LNCS, vol. 5931, pp. 224–231. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  26. Mircea, M., Ghilic-Micu, B., Stoica, M.: Combining business intelligence with cloud computing to deliver agility in actual economy. Econ. Comput. Econ. Cybern. Stud. Res. 45(1), 1 (2011)

    Google Scholar 

  27. Oracle: Cloud ready business intelligence with oracle business intelligence. An Oracle white paper, October 2010

    Google Scholar 

  28. Parkhill, D.: The Challenge of the Computer Utility. Addison-Wesley, Reading (1966)

    Google Scholar 

  29. Pondel, M.: Business intelligence as a service in a cloud environment. Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, pp. 1269-1271 (2013)

    Google Scholar 

  30. Power, D.J.: What is a DSS? On-line Exec. J. Data-Intensive Decis. Support 1(3) (1997)

    Google Scholar 

  31. Power, D.J.: A brief history of decision support systems, Version 4.0 (2007). http://DSSResources.com/history/dsshistory.html

  32. Tata Consultancy Services: Business intelligence on the cloud: overview and use cases. White paper, Tata Consultancy Services Ltd (2012). http://www.tcs.com

  33. Sriram, I, Khajeh-Hosseini, A.: Research agenda in cloud technologies. 1st ACM Symposium on Cloud Computing, SOCC 2010, arXiv:1001.3259 (2010)

    Google Scholar 

  34. Shollo, A., Kautz, K.: Towards an understanding of business intelligence. ACIS 2010 Proceedings, paper 86 (2010)

    Google Scholar 

  35. Vaquero, L., Rodero-Merino, L., Caceres, J., Lindner, M.: A break in the clouds: towards a cloud definition. ACM SIGCOMM Computer Communication Review (2009)

    Google Scholar 

  36. Vassiliades, P.: data warehouse modelling and quality issues. Ph.D. thesis, National Technical University of Athens, Greece (2000)

    Google Scholar 

  37. Watson, H.J.: BI and data warehousing in universities. Bus. Intell. J. 11(3), 4–6 (2006)

    Google Scholar 

  38. Wixom, B.H., Ariyachandra, T.: State of business intelligence in academia 2010. Presented at BI congress II, p. 1 (2011)

    Google Scholar 

  39. Zhang, Q., Cheng, L., Boutaba, R.: Cloud computing: state-of-the-art and research challenges. J. Internet Serv. Appl. (Springer) 1, 7–18 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Cyprus Telecommunication Authority, IT Professional, P.O.Box 24929, 1396, Nicosia, Cyprus

    Hariklea Kazeli

Authors
  1. Hariklea Kazeli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hariklea Kazeli .

Editor information

Editors and Affiliations

  1. Poznań University of Economics, Poznań, Poland

    Witold Abramowicz

  2. University of Nicosia, Nicosia, Cyprus

    Angelika Kokkinaki

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Kazeli, H. (2014). Cloud Business Intelligence. In: Abramowicz, W., Kokkinaki, A. (eds) Business Information Systems Workshops. BIS 2014. Lecture Notes in Business Information Processing, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-11460-6_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11460-6_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11459-0

  • Online ISBN: 978-3-319-11460-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation