Big data analyzation system
CONCEPT: Combining simple operation with full-scale analysis
Data analysis is usually performed in a number of steps, but in “DataDiver” the process is simplified to focus only on the significant activities by automating the parts that are less important. This enables “DataDiver” to combine simple operability with an ability to perform full-scale data analysis. The “less is more” user experience defines the entire service as the project’s core design concept.
Furthermore, big data has traditionally been used for hypothesizing based on conclusions derived from its analysis. However, the process hasn’t been enough to make big-picture decisions regarding the entire data set. The ability to weave the two axes of analysis and visualization, and zoom in and out of the detail to the whole, are also part of the “DataDiver” concept.
DETAIL: User operability
BACKGROUND: Analyzing data for business strategies
Project Information
- Client: Data Vehicle, Inc.
- Expertise: Digital
- Year: 2015
Project Team
- Direction: CDC, Dentsu Inc.
- Project Direction: Minoru Sakurai
- Creative Direction & Technical Direction: Minoru Sakurai