In a previous blog post, I explained the need for and value of manufacturers investing in Performance Based Analysis. Rather than make assumptions about how your product will perform, you can leverage existing real-world data from the field. However, another – more advanced – approach is needed to leverage data from a fleet of smart connected products. This approach – called Data-Driven Design – is essential for manufacturers who are designing or improving the next generation of smart, connected products.
What is Data-Driven Design?
The Value of Fleet Analysis
Because Data Driven Design is applied to an entire fleet of products, it makes it possible to analyze product data for trends that can impact design on a far-reaching scale.
Let’s consider a few scenarios to bring this to life.
Imagine a manufacturer that monitors usage of its product in the field and realizes that some of its components are over engineered for what it is actually used either globally or for a specific geographic area. For example, perhaps a dishwasher’s pump is proving too powerful in the majority of cases. The manufacturer can use this information to improve margins by changing the dishwasher design to include a less powerful, cheaper pump that reduces production costs.
Here’s a real-world scenario in the high-tech realm. HP Enterprise leverages failure information about its servers to drive information learned from the field back into product design. HP takes product failure trends into account as it is designing its next-generation products. By doing so, it has been able to realize a 15% reduction in annual outage events for customers, and a more than 20% reduction in average annual customer downtime.
Taking Steps to Advance to Data-Driven Design
Manufacturers already taking advantage of Performance Based Analysis can graduate to Data-Driven Design by embracing Design for Connectivity. With Design for Connectivity, they design their product from the start to collect needed data. The design accounts for the data that needs to flow from the system, be understood, and acted upon. Data Driven Design then analyzes this data to identify product trends at scale.
Ready to capitalize on real-world data at scale for more efficient product design, better business decisions, improved product performance, and better satisfied customers? Discover all the steps you need to take on your Digital Engineering Transformational Journey.