This case at a glance
| Client | Yamaha Corporation |
|---|---|
| Challenge | Evaluation records written on paper or typed into Excel by hand |
| What we did | Shared the goal with a mockup and built a prototype with an agile approach |
| Products | AWS, BI tools |
| Results | Evaluation data can be analyzed on dashboards |
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About the client
• Company name: Yamaha Corporation
• Company overview: The company makes and sells musical instruments, centered on pianos and electronic instruments, and also runs audio equipment and music education businesses. -
Challenges
• Workload in evaluation work
At evaluation meetings in product development, what evaluators said was recorded by hand on paper or in Excel, and organizing and using the information took time.
There was room to build up and use evaluation data more efficiently.
• Managing and visualizing evaluation data
Evaluation data collected over the years was managed separately, and a way to analyze and visualize it as a whole was needed.
• Limited development resources
The development team worked with limited resources, and it was hard to find time to build prototypes for considering and testing new mechanisms. -
Solution
• Interviews on current work and organizing issues
Through interviews with the people involved in evaluation, we learned specifically who evaluates what and through what process.
We then organized the issues and clarified the direction to aim for.
• Sharing the picture with a prototype (mockup)
We showed a mockup at the proposal stage and moved the project forward while both companies shared a concrete picture.
• Building a prototype
Using an agile approach, we built a system (prototype) that covers everything from entering evaluations to visualizing them on dashboards. -
Results
• A workflow that does not depend on manual work
A BI tool makes data analysis and visualization easy, so the data can be used for product development and strategy.
• Efficiency and less workload
Moving from paper and manual entry to a system is expected to lighten the work of entering evaluations and make it more efficient.
• Better use of data
Past evaluation data can be managed and visualized systematically, so it can be used for accurate decisions and planning.
• Faster decisions
Easier aggregation and analysis of evaluations is expected to shorten the time to decisions.
