What is datafication?

 Datafication is a technology trend turning many aspects of our life into data, which is subsequently transferred into information released as new form of value. It is not the same as digitization, which takes analog contents like books, photographs and convert it into digital information, a sequence of ones and zeros that computers can read. Dataficatioin is a far broader activity: taking all aspects of life and turning them into data. Once we datafy things, we can transform their purpose and turn the information into new forms of value.

Examples of Datafication

It is applied to social and communication media are how twitter datafies stray thoughts  or ratification of HR  by Linkedin and others. A alternative examples are diverse and include aspects of thye built environment, and design vai engineering and or other tools that tie data to formal, functional or other physical media  outcomes. 

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.


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.

Street lamps in Amsterdam have been upgraded to allow municipal councils to dim the lights based on pedestrian usage.


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.

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