To maintain the quality product their customers have come to love and expect, Skullcandy strives to be innovative in both product design and manufacturing. Their commitment to continue producing unique, high-quality headphones led Skullcandy’s Jesse Mease, Warranty Return Data Specialist, and Mark Hopkins, CIO, on a two-year project to better understand how their products fail and how they can reduce returns and keep their products affordable. Essentially, they wanted the ability to fix problems proactively by using historical data to predict the failure rates for new products within the first 90 days, and which specific part or function would fail.
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Kraken provides powerful solutions in a simple format. With Kraken you can deep dive and find more than just automated ML you can help your analysts find deeper connections in the data.
Predictive Modeling for the win!
We have solved business problems related to media broadcasting industry and Kraken has proved it’s worth by giving us meaningful insights on our audience viewing patterns and predicting ratings performance.
Built a model within a couple of hours, not days or months. Interface was easy enough for me to navigate on the first day without any formal training.
I love the ease of use that Kraken makes getting started with Machine Learning.