CASE STUDY

BMW Stops Recalls with Big Data

BMW wanted to decrease risk of recalls and defects by spotting potential problems before the NHTSA did.

BMW wanted to decrease risk of recalls and defects by spotting potential problems before the NHTSA did. With an eye toward increasing safety, predicting part failures before they’re a problem, and toward increasing customer satisfaction, BMW had a dream to build an intelligent early-warning system.

The Solution

Building upon valuable data drawn from dealership service centers, Worthwhile turned the data into actionable predictive insights, empowering BMW to anticipate and stay ahead of defects and massively reducing the risk of brand damage and eight-figure financial losses from government-issued mandatory recalls.

Want to talk about ways to turn data into profits earned or saved?

Having worked with manufacturing, automotive, and aerospace companies, Worthwhile has expertise in plant efficiency software, hardware/software integrations for heavy industry & equipment. Making manufacturing and automotive big data visible and actionable doesn’t have to take years

Begin your journey toward data-driven predictability.

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