Solution Brief: DataRPM Cognitive Predictive Maintenance Platform for the Automotive Industry

Do you struggle to plan production around seemingly unpredictable asset downtime? As a leading automotive manufacturer, downtime is too high a risk for you to have to deal with, and its implications can wreak havoc on your bottom line. Moreover, in today’s frenzied times, you need to squeeze every last ounce of output from all your resources.

While nearly all automotive manufacturers today have already bought into the need for big data analytics, the process usually ends there. All the data gathered merely adds to machine “noise,” there’s little done to harness all the information and derive meaningful information. Worse, the analysis may still be done manually – which is not only close to impossible, but also inaccurate and inadequate because of the sheer magnitude of data to be managed. Traditional data science cannot scale to IIoT anymore.

DataRPM understands this challenge, and has created the perfect solution to bring information about your valuable assets literally to your fingertips, at exactly the time when you need it. Our cognitive predictive maintenance platform helps you pre-empt and avoid asset downtime, in the process saving you millions of dollars.

Download our automotive solution brief to understand how DataRPM can help you save millions of dollars a year through cognitive predictive maintenance, which can optimize your overall automotive production process by:

  • Reducing and eliminating asset breakdowns
  • Increasing output
  • Minimizing asset maintenance costs
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About Us
DataRPM, a pioneer in cognitive technology, is enabling asset-intensive organizations across the globe achieve a fail-proof environment, maximizing the yield of their mission-critical assets. Through its award-winning platform, the Cognitive Predictive Maintenance (CPdM) delivers greater than 80% accuracy in asset failure prediction at 1/30th the time and resources, delivering 30% in cost savings and revenue growth. By automating machine learning, voluminous data is ingested and analyzed faster and more accurately, creating a fail-proof environment that boosts asset performance. For asset-intensive organizations, this level of automation directly translates into immense cost savings through higher availability and enhanced reliability of assets.  
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