Big-data guru, Bernard Marr, believes that big data and its implications will affect every single business and change how we do business, inside and out. Let’s do the exercise of applying Marr’s observations to radio.
Listening behaviours are shifting. Young listeners don’t understand why radio content has to be subordinated to fixed schedules. In order to keep up time spent listening among young listeners radio needs to start experimenting with non-linear models.
Data-analysis in radio enables a new way of programming based on experimentation. Voizzup applies it to continuously checking the health of the format clocks of your radio station.
BBC Radio 1 speaks Spanish, again. Matt Fisher, Station Sound Manager, designs the imaging in Spanish for the 20th anniversary of Radio 1 in Ibiza.
Data to feed not just artificial intelligent systems, but primarily human teams. To boost the talent and creativity of professionals with emotions, empathy, intuition and care for details. At the service of experts in creating engaging content. That’s the big-data in radio that I believe in.
Information on screen, engaging visual content and additional interactive features that invite listeners to stay tuned longer. That’s what hybrid radio enables, regardless of the technology used for carrying the audio.
Vijay Solanki, new digital chief at Southern Cross Austereo, believes in a future in which data-driven radio stations will create bespoke content based on listeners’ preferences.
By doing radio, Apple is learning radio. They have the capability, the resources and the drive to turn that learning into actual disruption in the radio industry in future iterations.
Big data used in music research for radio: audience’s spontaneous reactions during natural listening are captured through the mobile app of the radio station in the smartphone of thousands of listeners and turned into meaningful information for the station’s team.
Apple’s radio station might have a problem with Time Spent Listening. The global factor and its eclecticism might be handicaps. Beats 1’s “secret” weapons: Team, artists and Data.
Apple’s radio doesn’t seem to want or need traditional research. They have data instead: they can capture every click from million of listeners all around the globe accessing Beats 1 through one single app.
Apple learned from iTunes, iTunes Radio, Ping, Beats Music and turned it all into Apple Music. They will also learn about radio with Beats 1 and might, perhaps, disrupt radio in the future.