86.8% answered that the experience “roused their interest in the books and music that were introduced” while 84.6% responded that it “improved their image of the company.” Another notable point is that 79.2% of users responded that the experience “made them want to purchase the featured book and music CD.”

Additionally, the project captured extensive media exposure with no PR budget including a special feature on a TV program. The reporter said “I can hear the music commentary now in my ear. Wow, this is amazing!”

“Experience seamless big data service in a comfortable space surrounded by books” said ITmedia.

“A leading-edge shopping experience” said Nippon TV.

Big data in the palm of your hands brings in-store experiences to a whole new level.

Each one ID in the big data is linked to a wide array of information to extract a customer’s unique lifestyle data as a “wave.”

The “wave” can also be extracted specifically by content based on customer involvement.

Depending on how similar the “wave” is, compatibility between people and contents or contents and contents are converted into numbers to draw out the optimum combination for each customer.

Because of the data analysis, customers can listen to music compatible with themselves and books.