Anomaly Detection and Prediction

Harness the flood of sensor data coming from every machine. Anomaly detection and prediction puts data science to work for significant improvements in downtime, quality and the bottom line.

IIoT Journey: Path to Production - Architectural considerations to deploy IOT solutions at scale

Business Benefits—Maximize Uptime, Optimize Yield and Improve Quality

Your machine assets generate massive amounts of data with the potential for extraordinary business value. Being able to detect, track and act upon asset anomalies will boost Overall Equipment Effectiveness (OEE):

reduction in unplanned downtime
optimization of inventory cost
boost in overall equipment effectiveness
increase in asset life
improvement in output quality
increase in an asset’s operation efficiency

Applicable to Multiple Industries

Boost revenue by creating an environment that functions at optimum efficiency. Any asset-intensive industry can benefit from cognitive anomaly detection and prediction:

  • Reduce factory downtime by 50%
  • Reduce scrap production by 75%
  • Increase overall equipment effectiveness by 25%
Oil and Gas
  • Reduce decision errors by 100%
  • Reduce offshore asset breakdown by 75%
  • Gain 56% increase in efficiency
  • Diagnose potential malfunctions 75% faster
  • Improve assembly line uptime by 35%
  • Optimize spare parts availability by 13%
  • Save 50% per hour in grounded aircraft costs
  • Get 75% more control over fuel efficiency
  • Achieve 10X higher ROI
Transportation and Logistics
  • Eliminate unplanned downtime by 100%
  • Improve on-road vehicle performance by 28.5%
  • Boost fleet fuel efficiency by up to 10%
Energy and Utilities
  • Enhance field worker efficiency by 25%
  • Make accurate decisions 5X faster
  • Eliminate 90% of asset uncertainty

How it Works—Transforming Raw Sensor Data Into Intelligent Action


Anomaly Detection and Prediction powered by Progress® DataRPM™ automates data science enabling asset-intensive organizations to gain exceptional control over the torrent of sensor data coming from every machine.

The automated, patented solution detects and predicts anomalies, delivers machine health insights, reduces the time required to develop and operationalize models, and helps data scientists be more effective.

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Success Story

How IIoT helped Transform a Gas Pipeline

Anomaly Detection and Prediction let the client identify gas pipeline stations with the highest contribution to pipeline performance and the reasons for varying performance between individual stations.

Read the Story

Progress Anomaly Detection and Prediction

Detect and predict anomalies by automating machine learning to achieve higher asset uptime and yield maximization.