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More Data Analysis with Citizen Data Scientists?

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Information Systems and Technologies (WorldCIST 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 469))

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Abstract

This article first describes the concept of citizen data scientists and positions them in the landscape of employees who analyze data in an organization. It also contrasts the term with related concepts such as data democratization. Then, empirical research in job openings is conducted to identify whether the term is found there as well. Our findings show that companies still seldom look for people who already have skills of citizen data scientists but they continue to develop such people internally, still like when the term was first mentioned in 2014.

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Notes

  1. 1.

    Many German companies are looking for employees with English-language job advertisements.

References

  1. Alpar, P., Schulz, M.: Self-service business intelligence. Bus. Inf. Syst. Eng. 58(2), 151–155 (2016)

    Article  Google Scholar 

  2. Weinhardt, C., Kloker, S., Hinz, O., van der Aalst, W.M.P.: Citizen science in information systems research. Bus. Inf. Syst. Eng. 62(4), 273–277 (2020). https://doi.org/10.1007/s12599-020-00663-y

    Article  Google Scholar 

  3. Sanchis, R., García-Perales, Ó., Fraile, F., Poler, R.: Low-code as enabler of digital transformation in manufacturing industry. Appl. Sci. 10(1), 12 (2020)

    Google Scholar 

  4. Oestreich, T.: Quo vadis business analytics (2014). www.silicon.de/41604181/gartner-quovadis-business-analytics. Accessed 08 Aug 2021

  5. Moore, S.: Gartner says more than 40 percent of data science tasks will be automated by 2020 (2017). www.gartner.com/en/newsroom/press-releases/2017-01-16-gartner-says-more-than-40-percent-of-data-science-tasks-will-be-automated-by-2020. Accessed 08 Aug 2021

  6. Idoine, C.: Citizen Data Scientists and Why They Matter (2018). https://blogs.gartner.com/carlie-idoine/2018/05/13/citizen-data-scientists-and-why-they-matter. Accessed 08 Aug 2021

  7. Arora, S.: Role of Citizen Data Scientists in Today’s Business (2020). www.simplilearn.com/citizen-data-scientists-article. Accessed 08 Aug 2021

  8. Piatetsky, G.: The mirage of a citizen data scientist (2016). https://www.kdnuggets.com/2016/03/mirage-citizen-data-scientist.html. Accessed 08 Aug 2021

  9. Raman, V.: Ain’t No Such a Thing as a ‘Citizen Data Scientist’ (2020). https://www.datasciencecentral.com/profiles/blogs/ain-t-no-such-a-thing-as-a-citizen-data-scientist. Accessed 08 Aug 2021

  10. The Guardian 2018. Amazon ditched AI recruiting tool that favored men for technical jobs. www.theguardian.com/technology/2018/oct/10/amazon-hiring-ai-gender-bias-recruiting-engine. Accessed 08 Aug 2021

  11. Ross, C., Swetlitz, I.: IBM’s Watson supercomputer recommended ‘unsafe and incorrect’ cancer treatments, internal documents show (2018). https://www.statnews.com/2018/07/25/ibm-watson-recommended-unsafe-incorrect-treatments. Accessed 08 Aug 2021

  12. Schwartz, O.: In 2016, Microsoft’s Racist Chatbot Revealed the Dangers of Online Conversation (2019). spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/in-2016-microsofts-racist-chatbot-revealed-the-dangers-of-online-conversation. Accessed 08 Aug 2021

    Google Scholar 

  13. Lennerholt, C., van Laere, J., Söderström, E.: Implementation challenges of self-service business intelligence: a literature review. In: Proceedings of the 51st Hawaii International Conference on System Sciences (2018)

    Google Scholar 

  14. Qlik and Accenture 2020. The Human Impact of Data Literacy Report. https://www.accenture.com/_acnmedia/PDF-115/Accenture-Human-Impact-Data-Literacy-Latest.pdf. Accessed 08 Aug 2021

  15. Mullarkey, M.T., Hevner, A.R., Gill, T.G., Dutta, K.: Citizen data scientist: a design science research method for the conduct of data science projects. In: 2019 International Conference on Design Science Research in Information Systems and Technology, pp. 191–205 (2019)

    Google Scholar 

  16. Marr, B.: How The Citizen Data Scientist Will Democratize Big Data (2016). https://www.forbes.com/sites/bernardmarr/2016/04/01/how-the-citizen-data-scientist-will-democratize-big-data/#14bac52765b8. Accessed 08 Aug 2021

  17. Vance, A.: Big Data for Dummies – or at Least Product Managers (2013). https://www.bloomberg.com/news/articles/2013-09-12/big-data-for-dummies-or-at-least-product-managers. Accessed 08 Aug 2021

  18. KNIME 2020. Driving a citizen data scientist approach. https://www.knime.com/success-story/driving-a-citizen-data-scientist-approach. Accessed 08 Aug 2021

  19. Jabes, B.: How Airbnb Achieved Data Democratization to Empower 5K+ Employees (2020). https://blog.getcensus.com/how-airbnb-achieves-data-democratization-to-empower-5k-employees. Accessed 08 Aug 2021

  20. Sawicki, D.S., Craig, W.J.: The Democratization of Data: Bridging the Gap for Community Groups. J. Am. Plann. Assoc. 62(4), 512–523 (1996)

    Article  Google Scholar 

  21. Harris, J.: Data Is Useless Without the Skills to Analyze It (2012). hbr.org/2012/09/data-is-useless-without-the-skills. Accessed 08 Aug 2021

    Google Scholar 

  22. Kremser, W., Brunauer, R.: Do we have a Data Culture? In: Haber, P., Lampoltshammer, T., Mayr, M.: Data Science – Analytics and Applications, Proceedings of the 2nd International Data Science Conference

    Google Scholar 

  23. La Paz, A., Gracia, D., Vásquez, J.: Matching the controller role: individuals vs companies. J. Bus. Econ. Manag. 21(5), 1411–1431 (2020)

    Article  Google Scholar 

  24. SAP 2021. SAP Analytics Cloud. www.sap.com/products/cloud-analytics.html. Accessed 08 Aug 2021

  25. Marmer, D.: Today’s best practices for embedded and self-service analytics (2020). www.ibm.com/blogs/journey-to-ai/2020/10/todays-best-practices-for-embedded-and-self-service-analytics. Accessed 08 Aug 2021

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Correspondence to Michael Schulz .

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Alpar, P., Schulz, M. (2022). More Data Analysis with Citizen Data Scientists?. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F. (eds) Information Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systems, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-04819-7_13

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