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.
90% of Kraken users build and deploy their own machine learning model within 30 days of signup.
Instant access, no credit card required
Predictive Modeling for the win!
Through Kraken’s user-friendly interface we were able to achieve or business goals and create Unprecedented business models with our data.
The platform is intuitive and Big Squid’s support is second to none. We had Kraken delivering game-changing insights after about a day of work from our BI analysts without a background in ML. The speed to stand up a new pipeline from data-to-predictions is incredibly fast, and it’s allowed us to learn, iterate, and deploy quicker than I’d previously thought possible.
The entire experience has been great and meeting our expectations. Very qualified team of individuals helping with the onboarding.
We are able to deploy a model or test a hypothesis within a day. The integration with our BI tool is seamless.