Predictive Analytics Practice

Our predictive analytics practice specializes in developing connected factory and connected products solutions. These solutions include:

 

Connected factory. Optimizing manufacturing assets and balance-of-plant equipment to:

 

  • Improve productivity (OEE)
  • Optimize spare part management
  • Enable predictive quality
  • Enable process optimization

 

Connected products. Create service-based revenue models from smart connected products, which enable:

 

  • Predictive maintenance
  • Remote monitoring services
  • Digital twin for closed-loop design

Connected Factory

  • Improve Productivity (OEE)
  • Optimize Spare Part Management
  • Predictive Quality
  • Process Optimization

Connected Products

  • Predictive Maintenance
  • Remote Monitoring Services

 

  • Digital Twin for Closed
    Loop Design

 

Companies already capturing manufacturing and machine data can send this information to us for offline analysis. We’ll review the data, identify performance trends or anomalies, and provide detailed insights they can use to immediately improve the efficiency of their operation.

 

Our versatile, flexible and experienced engineers understand the industrial domain and how to develop impactful solutions using advanced predictive techniques.

 

Our team of highly experienced industrial data scientists, engineers, and software developers have helped customers in nearly every industry segment collect and analyze data to monitor critical assets and discover the key to a proactive maintenance policy and increased productivity.

 

We focus on three key areas:

 

  • Off-line analysis. We receive and review customer data sets based on a preliminary analysis.

 

  • Predictive analytics blueprint. Based on this data, we create a blueprint outlining how predictive analytics can be deployed at the site client.

Template creation. We create a template that allows us to deploy the live system online and scale it quickly.

Our end-to-end predictive analytics solution monitors critical assets by collecting and analyzing big data, with the goal of reducing unplanned downtime, increasing productivity and improving product quality.

 

Our predictive analytics platform enables users to rapidly acquire critical data; construct, train and validate their own predictive models; and visualize asset health in an easy-to-understand way so they can begin making immediate improvements to their operation.

 

The platform focuses on three key areas:

 

Data collection. Users can synchronize data collection from multiple sources for any given time period. The result is an intentional and effective data acquisition approach, which only yields the necessary information for analysis and producing real-time, impactful results.

 

Data analysis. Built upon extensive domain knowledge and equipped with algorithms for model-building, our technology is a deployable, scalable and intelligent solution that enables users to analyze data without having to become experts.

Decision making. An intuitive data visualization application manages and monitors critical assets, issues detailed reports, maps degradation trends and predicts potential failures to achieve worry-free uptime.

Our end-to-end predictive analytics solution monitors critical assets by collecting and analyzing big data, with the goal of reducing unplanned downtime, increasing productivity and improving product quality.

 

Our predictive analytics platform enables users to rapidly acquire critical data; construct, train and validate their own predictive models; and visualize asset health in an easy-to-understand way so they can begin making immediate improvements to their operation.

 

The platform focuses on three key areas:

 

  • Data collection. Users can synchronize data collection from multiple sources—including sensors, machines, or an IT system—for any given time period. The result is an intentional and effective data acquisition approach, which only yields the necessary information for analysis and producing real-time, impactful results.

 

  • Data analytics. Built upon extensive domain knowledge and equipped with algorithms for model building, our technology is a deployable, scalable and intelligent solution that enables users to analyze data without having to become experts.

Predictive decision making. An intuitive data visualization application manages and monitors critical assets, issues detailed reports, maps degradation trends and predicts potential failures to achieve worry-free uptime.