Big Data will push maintenance cost down

As already announced at drupa, Heidelberg intends to use Big Data to improve its customer service. Thanks to Big Data from more than 10,000 machines and 15,000 Prinect workflow users the company will be better able to estimate when preventative maintenance is necessary. The Big Data will also give Heidelberg a valuable resource for information on breakdowns and will be able to better manage spare part stock. This will prevent breakdown and outage of the costly machines. Read more about how the company is planning to do this in the press release below.