zh
Data Vehicle, Inc.

Big data analyzation system

Takram, in collaboration with Dentsu CDC, was involved in the design, planning, and development of DataDiver, a data analysis tool that was released from Data Vehicle Inc. in 2015. Until now, tools for collecting and analyzing data had been designed for expert users of the field with advanced analysis skills and experience. However, DataDiver is designed for users without such expertise, and can lead anyone to find important information that can be used in the decision-making process. In this project, Takram designed a tool that makes analysis easy and simple by focusing on intuitive infographics and a pleasant user experience.
Image

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 projects core design concept.

Furthermore, big data has traditionally been used for hypothesizing based on conclusions derived from its analysis. However, the process hasnt 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.

Image
Image
Image

DETAIL: User operability

User operations in DataDiver are very simple. Data analysis and visualization are completed by following these three steps: setting up the purpose for analysis, confirming the provided analysis, and creating a report. In confirming the results of the analysis, various graphics and animation help the user to properly understand the information. The various processes besides these three steps, such as estimating the relationships between data tables, processing gathered data, natural language processing, and graph and animation visualization are algorithmically automated to enable non-expert users to perform full-scale analysis on DataDiver.
Image
Image
Image

BACKGROUND: Analyzing data for business strategies

In the manufacturing field today, vast amounts of data are being collected and analyzed for purposes of product quality control, new product planning, and business strategies. On the other hand, detailed studies of such information require the use of data analysis tools, which are usually designed for expert and skilled analysts. Furthermore, in many cases, the preparation and actual analyses are performed by in-house data scientists. The interpretation and decision-making based on these analyses are done by managers and are implemented by the person in charge of the actual operation. This cumbersome process is inefficient, and more often than not, there arent enough data scientists working on the field to start with. Easy operation and simple graphics enable more people to analyze data, empowering them to quickly arrive at executable and realistic solutions based on the programs highly accurate hypotheses.

Project Information

  • Client: Data Vehicle, Inc.
  • Expertise: Digital
  • Year: 2015

Project Team

Thumbnail
Minoru Sakurai
Design Engineer, Project Director

Related Projects

View all projects
Thumbnail

FLORIOGRAPHY

Global holiday campaign with ISSEY MIYAKE
Thumbnail

motta Rebrand

Branding of handkerchiefs from a world view and vision
Thumbnail

Planck

Location based data visualisation framework for web