Predictive Maintenance

Gain an understanding of your business with predictive analytics. 

What would it mean to your organization if you could predict system failures or quality issues before they happen? Preventing failures can help your organization reduce unscheduled downtime, waste, and rework – and avoid costly disruptions in operations.

The Benefits of Predictive Maintenance:

With predictive analytics, it’s possible to proactively manage maintenance and improve operational efficiency by discovering the chance of a failure before it takes place.


Through a proof-of-concept engagement, BlueGranite will demonstrate how you can utilize Azure Machine Learning, Microsoft R, and the Cortana Intelligence Suite to predict and prevent system failure, and explore the benefits of calculating KPIs such as Remaining Useful Life, Time to Failure, Failure within a certain time, and more.

ABOUT Predictive Maintenance

  • Predictive insight for reducing operational risk, controlling maintenance costs, and discovering patterns related to recurring problems
  • Utilize machine learning to predict KPIs such as Remaining Useful Life, Time to Failure, and Failure within a certain time
  • Can be implemented on the cloud (using Microsoft Azure and the Cortana Intelligence Suite) or as an on-premise solution (using your current architecture)

Solution DETAILS

  • 3 to 4 week QuickStart performed at client's site
  • Includes data exploration, machine learning model building, results delivery, and full-scale implementation recommendations

  • Discovery topics may include prediction results delivery and discussion, Azure-based or on-premise architecture plan, and Power BI dashboard concepts
  • Funding available for qualified clients

Want to learn more about Predictive Maintenance?

Predictive Maintenance Retail


  • Reduce unscheduled downtime of in-store equipment such as elevators, escalators, refrigerators, etc.
  • Optimize Inventory management
  • Develop a more cost-effective, collaborative supply chain
  • Deliver engaging in-store experiences
  • Use telemetry to determine the quality of POS systems and predict when failures will occur
Predictive Maintenance Manufacturing


  • Proactively schedule maintenance to maintain high levels of equipment uptime
  • Up-sell custom maintenance services based on customer use patterns
  • Predict outages in the assembly line process and improve product quality
  • Predict utility outages in power generation equipment
  • Develop custom and optimal maintenance schedules for valuable assets
Predictive Maintenance Healthcare


  • Reduce equipment maintenance spend
    • Hospitals typically spend 5-10% of their capital budgets on equipment maintenance
  • Use machine learning to identify potential emergency issues for home care patients
  • Provide streamlined, collaborative care
  • Give patients self-service access to certain devices
  • Proactively manage health trends
Predictive Maintenance Government


  • Enable faster response times and quicker issue resolution
  • Balance maintenance services based on citizen use patterns
  • Understand the impact of events and incidents
  • Simplify compliance and auditing
  • Make informed decisions with a deeper understanding of citizen needs