| Title | DATABLOOM |
| Brand | PUBLICIS.SAPIENT (SELF-PROMOTION) |
| Product/Service | SELF -PROMOTION |
| Category |
E03. Technology |
|
Entrant
|
SAPIENTRAZORFISH London, UNITED KINGDOM
|
|
Idea Creation
|
SAPIENTRAZORFISH London, UNITED KINGDOM
|
|
Additional Company
|
MARSHMALLOW LASER FEAST London, UNITED KINGDOM
|
Credits
| Fura Johannesdottir |
Publicis Sapient |
Executive Creative Director |
| Alexandra Jugović |
Publicis Sapient |
Creative Director |
| Louise Perry |
Publicis Sapient |
FS EMEA Marketing Lead |
| Conor McNicholas |
Publicis Sapient |
Consultant Marketing Director FS EMEA |
| David Lamb |
Publicis Sapient |
Producer |
| Ben Leedham |
Publicis Sapient |
Design |
| Jude Gay |
Publicis Sapient |
Design |
| Joanne Hippolyte |
Publicis Sapient |
Experience Design |
| Louise Beaumont |
Publicis Sapient |
Strategic Advisor, Open Banking |
| Rachel Clough |
Publicis Sapient |
Creative Team |
| Jan Pruijser |
Publicis Sapient |
Creative Team |
| Andy Lo Pò |
Publicis.Sapient |
Photographer |
Write a short summary of what happens in the ambient or digital execution or campaign.
databloom was an interactive art installation that brought to life a new metaphor for thinking about data. Rather than ‘lakes’ or ‘clouds’ that companies see, it showed how data from different companies can be organised around individuals in a post-GDPR world.
Attendees entered Room 1 of our installation and, through a bespoke hand-held controller, we harvested simple bespoke data (with GDPR compliancy!) in the form of height, pulse and clothing colour. This was then presented as a unique data-generated databloom where data was organised around an individual in a structured and beautiful way. Blowing on the controller released the data into a chaotic data cloud that built up over the three days of the event. Attendees could move and play with the cloud visualization.
Attendees then moved to Room 2 where we presented ‘case studies from the future’ showing use cases where data created exponential value when organised around people.
Cultural/Context information for the jury
databloom exists to get people to think about data in a new way by presenting a new metaphor for the way we approach data. Companies see data as ‘lakes’ or ‘clouds’ – amorphous groupings of data organized around them where people are unseen in the mass. We’ve all been encouraged to see data the way companies see data. databloom offers a different vision, one where data is organized around people. In a post-GDPR, API-powered world, people can start to take control of their data from different companies, pivoting to work around them. We wanted to show that this new way of thinking about data was both empowering and beautiful.