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International Conference on Business Information Systems

BIS 2014: Business Information Systems pp 50–60Cite as

Big Data as Strategic Enabler - Insights from Central European Enterprises

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 176))

Abstract

Big Data increases the amount of data available for analysis by significantly increasing the volume, velocity and variety. Big Data is the coincidence of technological developments with a radical transformation of information flows. Beyond technological considerations only few, general analyses of the strategic impact of Big Data exist. Therefore, we designed a study analyzing the strategic impact factors of Big Data. The study is based on a survey from 148 responses of enterprise specialists and managers in the field of Big Data, originating from central European enterprises. Key findings are that idle data have a negative moderate effect and the type of business process has a positive effect on the perceived advantages of big data. Furthermore there is an effect of the perceived advantages of big data on the planned and current use.

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References

  1. Gantz, J., Reinsel, D.: Extracting value from chaos. IDC IView, 1–12 (2011)

    Google Scholar 

  2. Mearian, L.: World’s data will grow by 50X in next decade, IDC study predicts, http://www.computerworld.com/s/article/9217988/World_s_data_will_grow_by_50X_in_next_decade_IDC_study_predicts

  3. Porter, M.E., Millar, V.E.: How information gives you competitive advantage. Harv. Bus. Rev. 63, 149–160 (1985)

    Google Scholar 

  4. McAfee, A., Brynjolfsson, E.: Big data: the management revolution. Harv. Bus. Rev. 90, 60 (2012)

    Google Scholar 

  5. LaValle, S., Lesser, E., Shockley, R., Hopkins, M.S., Kruschwitz, N.: Big data, analytics and the path from insights to value. MIT Sloan Manag. Rev. 52, 21–32 (2011)

    Google Scholar 

  6. Bursting the Big Data Bubble | ZDNet, http://www.zdnet.com/bursting-the-big-data-bubble-7000002352/

  7. Bughin, J., Chui, M., Manyika, J.: Clouds, big data, and smart assets: Ten tech-enabled business trends to watch. McKinsey Q. 56 (2010)

    Google Scholar 

  8. Weiss, R.: OBAMA ADMINISTRATION UNVEILS “BIG DATA” INITIATIVE

    Google Scholar 

  9. Kaisler, S., Armour, F., Espinosa, J.A., Money, W.: Big Data: Issues and Challenges Moving Forward. In: 2013 46th Hawaii International Conference on System Sciences, pp. 995–1004. IEEE Computer Society, Los Alamitos (2013)

    Chapter  Google Scholar 

  10. Brynjolfsson, E., Hitt, L., Kim, H.: Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance? (2011)

    Google Scholar 

  11. Breuer, P., Forina, L., Moulton, J.: Beyond the hype: Capturing value from Big Data and advanced analytics, http://cmsoforum.mckinsey.com/article/beyond-the-hype-capturing-value-from-big-data-and-advanced-analytics

  12. Gray, J.: What data can and cannot do, http://www.guardian.co.uk/news/datablog/2012/may/31/data-journalism-focused-critical

  13. The Hidden Biases in Big Data - Kate Crawford - Harvard Business Review, http://blogs.hbr.org/cs/2013/04/the_hidden_biases_in_big_data.html

  14. Möhring, M., Schmidt, R., Wolfrum, N., Kammerer, M., Maier, S., Höritz, S.: How Big Data Transforms the IT Department to a Strategic Weapon. In: Proceedings of the IADIS International Conference Information Systems 2013, Lisbon, pp. 323–326 (2013)

    Google Scholar 

  15. Schmidt, R., Möhring, M.: Strategic alignment of Cloud-based Architectures for Big Data. In: Proceedings of the 17th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW), Vancouver, Canada, pp. 136–143 (2013)

    Google Scholar 

  16. 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 Glob. Inst., 1–137 (2011)

    Google Scholar 

  17. Kemper, H.-G., Baars, H., Lasi, H.: An Integrated Business Intelligence Framework. In: Rausch, P., Sheta, A.F., Ayesh, A. (eds.) Business Intelligence and Performance Management, pp. 13–26. Springer, London (2013)

    Chapter  Google Scholar 

  18. Barton, D.: Making Advanced Analytics Work For You. Harv. Bus. Rev. 90, 78–83 (2012)

    Google Scholar 

  19. Chen, H., Chiang, R.H.L., Storey, V.C.: Business intelligence and analytics: From big data to big impact. MIS Q. 36, 1165–1188 (2012)

    Google Scholar 

  20. Brown, B., Chui, M., Manyika, J.: Are you ready for the era of “big data”? McKinsey Q. 4, 24–35 (2011)

    Google Scholar 

  21. Hannula, M., Pirttimäki, V.: Business intelligence empirical study on the top 50 Finnish companies. J. Am. Acad. Bus. 2, 593–599 (2003)

    Google Scholar 

  22. Kart, L., Heudecker, N., Buytendijk, F.: Survey analysis: big data adoption in 2013 Shows Substance behind the hype (2013)

    Google Scholar 

  23. Commission, E.: NACE Rev. 2–Statistical classification of economic activities in the European Community. Luxemb. Off. Off. Publ. Eur. Communities (2008)

    Google Scholar 

  24. Mayer-Schönberger, V., Cukier, K.: Big data: a revolution that will transform how we live, work and think. John Murray, London (2013)

    Google Scholar 

  25. Stigler, S.M.: The Story of Statistics: The Measurement of Uncertainty Before 1900. Harvard University Press (1986)

    Google Scholar 

  26. Boscovich, R.J.: De litteraria expeditione per pontificiam ditionem, et synopsis amplioris operis, ac habentur plura ejus ex exemplaria etiam sensorum impressa. Bononiensi Sci. Artum Inst. Atque Acad. Comment. 4, 353–396 (1757)

    Google Scholar 

  27. Boscovich, R.J.: De recentissimis graduum dimensionibus, et figura, ac magnitudine terrae inde derivanda. Philos. Recentioris Benedicto Stay Romano Arch. Publico Eloquentare Profr. Versibus Traditae Libri X Adnot. Suppl. P Rogerii Joseph Boscovich SJ Tomus II, 406–426 (1757)

    Google Scholar 

  28. Mason, C.H., Perreault Jr., W.D.: Collinearity, power, and interpretation of multiple regression analysis. J. Mark. Res., 268–280 (1991)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Hochschule München, Lothstraße 64, 80335, München, Germany

    Rainer Schmidt

  2. Hochschule Aalen, Beethovenstraße 1, 73430, Aalen, Germany

    Michael Möhring, Stefan Maier, Julia Pietsch & Ralf-Christian Härting

Authors
  1. Rainer Schmidt
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  2. Michael Möhring
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  3. Stefan Maier
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  4. Julia Pietsch
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  5. Ralf-Christian Härting
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Editor information

Editors and Affiliations

  1. Department of Information Systems, Poznań University of Economics, Poznań, Poland

    Witold Abramowicz

  2. Department of Management and MIS, University of Nicosia, Engomi, Nicosia, Cyprus

    Angelika Kokkinaki

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© 2014 Springer International Publishing Switzerland

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Schmidt, R., Möhring, M., Maier, S., Pietsch, J., Härting, RC. (2014). Big Data as Strategic Enabler - Insights from Central European Enterprises. In: Abramowicz, W., Kokkinaki, A. (eds) Business Information Systems. BIS 2014. Lecture Notes in Business Information Processing, vol 176. Springer, Cham. https://doi.org/10.1007/978-3-319-06695-0_5

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  • DOI: https://doi.org/10.1007/978-3-319-06695-0_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06694-3

  • Online ISBN: 978-3-319-06695-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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