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A Researcher’s View on (Big) Data Analytics in Austria Results from an Online Survey

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Data Management Technologies and Applications (DATA 2014)

Abstract

We present results from questionnaire data that were collected from leading data analytics researchers and experts across Austria. The online survey addresses very pressing questions in the area of (big) data analysis. Our findings provide valuable insights about what top Austrian data scientists think about data analytics, what they consider as important application areas that can benefit from big data and data processing, the challenges of the future and how soon these challenges will become relevant, and become potential research topics of tomorrow. We visualize results, summarize our findings and suggest a roadmap for future decision making.

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Notes

  1. 1.

    http://europa.eu/rapid/press-release_SPEECH-13-893_en.htm.

  2. 2.

    All links have been accessed and validated in December 2014.

  3. 3.

    http://bigdatawg.nist.gov.

  4. 4.

    http://www.sdil.de/de/.

  5. 5.

    http://www.ecova.com.

  6. 6.

    http://www.renewablesinternational.net/smart-meter-rollout-in-europe-rollback-in-austria/150/537/72823/

  7. 7.

    http://www.bibliothekstagung2013.at/doc/abstracts/Vortrag_Budroni.pdf.

  8. 8.

    http://en.wikipedia.org/wiki/Industry_4.0.

  9. 9.

    http://data.gv.at.

  10. 10.

    Some examples: http://www-935.ibm.com/services/us/gbs/thoughtleadership/ibv-big-data-at-work.html, http://www.sas.com/resources/whitepaper/wp_58466.pdf, the Computing Research Association (CRA) http://www.cra.org/ccc/files/docs/init/bigdatawhitepaper.pdf and SAS http://www.sas.com/resources/whitepaper/wp_55536.pdf.

  11. 11.

    http://www.limesurvey.org/de/.

  12. 12.

    http://www.r-project.org/. The survey questions are provided in the appendix of [29].

  13. 13.

    Multiple selections were possible which means that these numbers do not add up to 100 %.

  14. 14.

    We only included terms that appeared a least three times and we filtered with an english and a topical stop word list (e.g. terms like ‘and’ or ‘etc’ and terms like ‘data’ or ‘analytics’).

  15. 15.

    In 2010, 19.3 % of the employed worked in commerce and 9.1 % in the gastronomical and leisure sector (source: ‘Ergebnisse im Ueberblick: Statistik zur Unternehmensdemografie 2004 bis 2010’, available at http://www.statistik.at/web_de/statistiken/unternehmen_arbeitsstaetten/arbeitgeberunternehmensdemografie/index.html, extracted 09-12-2014.

  16. 16.

    http://www.cra.org/ccc/files/docs/init/bigdatawhitepaper.pdf.

  17. 17.

    http://www.sas.com/resources/whitepaper/wp_55536.pdf.

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Acknowledgements

This study was commissioned and funded by the Austrian Research Promotion Agency (FFG) and the Austrian Federal Ministry for Transport, Innovation and Technology (BMVIT) as FFG ICT of the Future project number 840200. We thank Andreas Rauber for his valuable input. Information about the project and access to all deliverables are provided at http://www.conqueringdata.com.

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Correspondence to Ralf Bierig .

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Bierig, R. et al. (2015). A Researcher’s View on (Big) Data Analytics in Austria Results from an Online Survey. In: Helfert, M., Holzinger, A., Belo, O., Francalanci, C. (eds) Data Management Technologies and Applications. DATA 2014. Communications in Computer and Information Science, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-319-25936-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-25936-9_4

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