Using Big Data to Track Millions of HDDs and Predictively Create Better Customer Service
Following up on Steve’s use of Amazon last year, Steve will discuss HGST’s innovation in capturing ML data from across its manufacturing processes and developing a Big Data Platform that utilizes manufacturing data. The Big Data Platform enables detailed operational and logistics tracking of the millions of hard drives that HGST produces each year. HGST uses this manufacturing data to identify defects in batches, and can predictively analyze effects on any individual drive – out of the millions being produced every year. This platform utilizes information across 1,200+ tables from MySQL, NoSQL, and Hadoop relational databases around the world, and can visualize information across JMP, Tableau, IBM SPSS, and SAS to support all phases of product development, manufacturing, testing and support. This allows HGST to improve its tracking of each individual hard drive it produces, and proactively identify issues that could affect customers, before it happens.
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