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Datafication
Technological trend

Datafication, a term introduced by Kenneth Cukier and Viktor Mayer-Schönberger in 2013, refers to the transformation of many aspects of life into data that is then converted into valuable information. Unlike digitization, which converts analog content into digital formats, datafication broadly turns life phenomena into data, enabling new uses and value creation. This expansion was driven by advances in big data and predictive analytics, fueling large-scale analysis and insights. As explained in the original concept, datafication allows us to transform and repurpose information beyond mere representation, creating novel opportunities and forms of value across various fields.

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Ideology

Datafication has an ideological aspect, called dataism:

"The drive towards datafication is rooted in a belief in the capacity of data to represent social life, sometimes better or more objectively than pre-digital (human) interpretations."7

Examples

Datafication is often applied to social and communication media. Some examples include how Twitter datafies stray thoughts, as well as datafication of HR by LinkedIn and others.

Other examples include aspects of the build environment, and design via engineering and or other tools that tie data to formal, functional, or other physical media outcomes. Data collection and processing for optimal control (e.g., shape optimization) is another example.

Impact

Human resources Data obtained from mobile phones, apps or social media usage is used to identify potential employees and their specific characteristics such as risk taking profile and personality. This data will replace personality tests. Rather using the traditional personality tests or the exams that measure the analytical thinking, using the data obtained through datafication will change existing exam providers. Also, with this data new personality measures will be developed.89 Insurance and Banking Data is used to understand an individual's risk profile and likelihood to pay a loan. Customer relationship management Various industries are using datafication to understand their customers better and create appropriate triggers based on each customer's personality and behaviour. This data is obtained from the language and tone a person uses in emails, phone calls or social medias.10 Smart city Through the data obtained from the sensors that are implemented into the smart city, issues that can arise might be noticed and tackled in areas such as transportation, waste management, logistics, and energy. On the basis of real-time data, commuters could change their routes when there is a traffic jam. With the sensors that can measure air and water quality, cities can not only gain a more detailed understanding of the pollution levels, but may also enact new environmental regulations based on real-time data.11

See also

References

  1. Newell, Sue; Marabelli, Marco (2015). "Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of 'datification'". Journal of Strategic Information Systems. 24 (1): 3–14. doi:10.1016/j.jsis.2015.02.001. S2CID 20948367. Retrieved November 1, 2022. https://www.researchgate.net/publication/315134740 ↩

  2. Cukier, Kenneth; Mayer-Schönberger, Viktor (2013). "The Rise of Big Data". Foreign Affairs. 92 (May/June): 35. Retrieved 24 January 2014. http://www.foreignaffairs.com/articles/139104/kenneth-neil-cukier-and-viktor-mayer-schoenberger/the-rise-of-big-data ↩

  3. O'Neil, Cathy; Schutt, Rachel (2013). Doing Data Science. O'Reilly Media. p. 406. ISBN 978-1-4493-5865-5. 978-1-4493-5865-5 ↩

  4. Mejias, Ulises A.; Couldry, Nick (2019). "Datafication". Internet Policy Review. 8 (4). doi:10.14763/2019.4.1428. https://doi.org/10.14763%2F2019.4.1428 ↩

  5. Biltgen, Patrick; Ryan, Stephen (1 January 2016). Activity-Based Intelligence: Principles and Applications (1 ed.). Norwood, MA: Artech House. p. 151. ISBN 978-1-60807-876-9. Retrieved 6 May 2017. 978-1-60807-876-9 ↩

  6. Cukier, Kenneth; Mayer-Schönberger, Viktor (2013). "The Rise of Big Data". Foreign Affairs. 92 (May/June): 35. Retrieved 24 January 2014. http://www.foreignaffairs.com/articles/139104/kenneth-neil-cukier-and-viktor-mayer-schoenberger/the-rise-of-big-data ↩

  7. Hintz, Arne; Lina Dencik; Karin Wahl-Jorgensen (2019). Digital citizenship in a datafied society. Cambridge, UK: Polity Press. p. 20. ISBN 978-1-5095-2716-8. OCLC 1028901550. 978-1-5095-2716-8 ↩

  8. Moore, Melissa. "Turning Personality Into Data". Mattersight, The Chemistry of Conversation. Mattersight Corporation. Archived from the original on 11 November 2017. Retrieved 5 May 2017. https://web.archive.org/web/20171111042313/https://www.mattersight.com/blog/turning-personality-into-data/ ↩

  9. https://www.ericsson.com/assets/local/news/2014/4/the-impact-of-datafication-on-strategic-landscapes.pdf [bare URL PDF] https://www.ericsson.com/assets/local/news/2014/4/the-impact-of-datafication-on-strategic-landscapes.pdf ↩

  10. Moore, Melissa. "Turning Personality Into Data". Mattersight, The chemistry of Conversation. Mattersight Corporation. Archived from the original on 11 November 2017. Retrieved 5 May 2017. https://web.archive.org/web/20171111042313/https://www.mattersight.com/blog/turning-personality-into-data/ ↩

  11. https://www.ericsson.com/assets/local/news/2014/4/the-impact-of-datafication-on-strategic-landscapes.pdf [bare URL PDF] https://www.ericsson.com/assets/local/news/2014/4/the-impact-of-datafication-on-strategic-landscapes.pdf ↩