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Read it here: jmp.com/Energywith
The recording is also available on JMP's YouTube channel.
Discover how Energywith is transforming from a traditional battery manufacturer into a data-driven energy solutions company, using analytics to uncover insights, improve quality, and drive smarter, more efficient decisions across the business.
From batteries to data-driven energy solutions
Short summary:
Energywith, a newly established company with a century-long legacy from the Hitachi Group, is transforming from a battery manufacturer into a data-driven energy storage solutions provider. By leveraging data analysis and visualization using JMP, the company uncovers insights into battery deterioration, optimizes operations, and empowers teams across the organization—from leadership to frontline staff—to make better decisions. This shift is driving more efficient manufacturing, stronger technical capabilities, and highly targeted sales strategies.
Key takeaways:
- Transformation at scale: Moving from manufacturing batteries to delivering data-driven energy solutions.
- Data-driven culture: Adoption of data across the organization—not just by data scientists, but by sales, managers, and engineers.
- Better battery performance: Simulation models help reduce early battery deterioration by factoring in real-world usage and environmental conditions.
- Democratized insights: Visualization tools make complex data accessible, enabling faster understanding and action.
- From intuition to evidence: Field knowledge is validated (or challenged) through data, uncovering blind spots.
- Operational efficiency: Data analysis enables targeted sales efforts and eliminates waste.
- Customer impact: Customers also use JMP to analyze large-scale battery data more efficiently.
- Continuous learning: Contradictions in data lead to deeper investigation and new engineering insights.
Quotes:
“In particular, from the top to the field, it is not just data scientists who look at data, but also other related staff members access the information gained from the data. For example, things like visualized graphs is a very powerful feature that allows sales people or managers to see and understand it properly. From there, small successes arise, and they spontaneously decide what they want to do and what actions they want to take. I think that's the initial factor that accelerates things.” – Kei Hasegawa, Manager, Dx & Data Strategy Promotion Group
“For example, the Quality Assurance Department has been accumulating inspection data for many years, but the large amount of data meant that it was difficult to handle without using JMP. After introducing JMP, we realized that we could handle the data. First, we decided to take a look at all the data, when we visualized it using a graph filter, and we were able to obtain a lot of very useful information, so each manufacturing department thought, "If we can understand this, we'd like to visualize more data like this." – Kohei Shimada, Chief, Dx & Data Strategy Promotion Group
“As another recent use of JMP, we have begun trial implementation of collecting and analyzing operational data from the batteries of our customers. With conventional tools, the volume of data is often so large that analysis becomes time-consuming and inefficient. By using JMP, the data can be visualized quickly, making it easier to understand overall conditions. JMP allows users to drill down and investigate the underlying phenomena that caused the anomaly. This type of application of JMP is becoming increasingly common in our company” – Hiroo Nishiyama, Staff Researcher, Battery Energy Storage System Business Promotion Group (As of Nov 2025)
“Because JMP is easy to understand, it is widely used to analyze sales data, inventory data, and general manufacturing data. Visualizing data in this way often leads to unexpected discoveries. Sometimes, results are consistent with the engineers' knowledge. Other times, there are results that contradict the engineers' knowledge. By digging deeper into the differences, engineers gain new insights. This is the kind of impact we are seeing with JMP today which ultimately helps strengthen their technical skills.” – Kei Hasegawa, Manager, Dx & Data Strategy Promotion Group & Kohei Shimada, Chief, Dx & Data Strategy Promotion Group
“There aren't many tools out there that make it this easy to move data back and forth between graphs or tables, so I've often heard feedback that this capability makes analysis incredibly intuitive. Whether users are consciously aware of it or not, there is a significant difference in both the speed and the sense of practicality when working with data in JMP compared to other approaches.” – Kei Hasegawa, Manager, Dx & Data Strategy Promotion Group
“By sharing the results of the analysis with the sales department and other departments, we are now able to take very efficient and targeted sales actions. By analyzing the data and visualizing where demand is, for example, we can make sales efforts to specific regions with pinpoint accuracy. This allows us to achieve maximum results in the same amount of time, leading to more efficient sales activities. In a sense, we can say that we are able to eliminate waste, and I think that being able to do that is the biggest achievement.” – Shohei Ohashi, Assistant Manager, Industrial Battery System Business Promotion Dept. (As of Nov 2025)
ROI infographic
