Whether it’s simulation, visualization, or data bouncing back from the feld, Big Data has entered the design process.
By Rob Spiegel, Senior Editor
Thanks to Big Data, design teams can now receive feedback about product problems — whether they occur on the factory production floor or during customer use. Much of this data has been around for years, though in the past it was less voluminous and harder to find. But now, data management has become part of the design engineer’s job function. The top companies of the world, naturally, are leading the way in Big Data analytics for design and manufacturing. At Dell, data coming in from the field revealed memory problems with one of its business server problems that had not come to light in the design or production process. Dell was able to identify the source of the problem quickly through the use of Siemens’ Omneo data management system.
The system was used to diagnose the memory configuration problem, and it enabled Dell to get a replacement server out less than an hour after the customer reported a problem. “It would ordinarily take two weeks to identify the source of the problem and determine the fix, but they were able to get it done in two days,” said Bill Boswell, senior director of marketing and business strategy for Cloud Services at Siemens PLM. “The old manual way of approaching this would have required three days just to gather the data.”