Many companies leverage this traditional approach to predictive analytics: collect data, apply logic, and achieve insight.
If a supplier does not have requisite historical data to build the traditional model, deep engineering foundations can serve as expertise to build a predictive service program.
Companies with newly connected assets should continue the data collection over time to build their data set and support the other two components.
3
of Your Predictive Service Program
Ready to realize the business benefits of a successful predictive service program? Check out The Three Components of Predictive Service to reveal how to get there.
Learn More
Critical Components
their Uptime Program combines digital twin simulation and real time data such that “Data intelligence and visibility allow proactive and pre-emptive action to be taken to avoid failure.”
Maria Wilson
Global Leader for Data-driven Advantage at Howden
Source: The Three Components of Predictive Service, citing Howden Uptime
Industrial service models are shifting away from traditional break/fix models towards proactive and predictive service. The Three Components of Predictive Service reveals how the IIoT empowers manufacturers to transform their predictive service programs.
Ready to unlock the secret to successfully predicting customer issues while delivering scalable business benefits? Click below to reveal each secret.
According to global engineering business, Howden,
Simulation and
Real-Time Data
Combine
Using Existing Engineering Data
Predict
collect & Analyze
Data from Connected Devices in the Field
Companies can leverage previously collected, extensive data sets to build predictive models and set alert conditions for equipment.
Predictive models can leverage historical data which indicates when a specific metric exceeds a certain threshold, and failure mode is pending.
To improve your existing model, incorporate real-time data from the field with machine learning algorithms.
3
of Your Predictive Service Program
Ready to realize the business benefits of a successful predictive service program? Check out The Three Components of Predictive Service to reveal how to get there.
Learn More
Critical Components
their Uptime Program combines digital twin simulation and real time data such that “Data intelligence and visibility allow proactive and pre-emptive action to be taken to avoid failure.”
Maria Wilson
Global Leader for Data-driven Advantage at Howden
Source: The Three Components of Predictive Service, citing Howden Uptime
Industrial service models are shifting away from traditional break/fix models towards proactive and predictive service. The Three Components of Predictive Service reveals how the IIoT empowers manufacturers to transform their predictive service programs.
Ready to unlock the secret to successfully predicting customer issues while delivering scalable business benefits? Click below to reveal each secret.
According to global engineering business, Howden,
Simulation and
Real-Time Data
Combine
Using Existing Engineering Data
Predict
collect & Analyze
Data from Connected Devices in the Field
collect & Analyze
Predict
Industrial service models are shifting away from traditional break/fix models towards proactive and predictive service. The Three Components of Predictive Service reveals how the IIoT empowers manufacturers to transform their predictive service programs.
Years of design data captured from manuals, data books, selection software, drawings and models can be used to create a digital twin.
Combine the simulation-based digital twin and real-time data to predict how your equipment will operate and respond to its environment.
The combination of digital twin simulation and real-time data empowers service teams to take proactive action to avoid failure.
3
of Your Predictive Service Program
Ready to realize the business benefits of a successful predictive service program? Check out The Three Components of Predictive Service to reveal how to get there.
Learn More
Data from Connected Devices in the Field
Using Existing Engineering Data
Simulation and
Real-Time Data
Combine
Critical Components
their Uptime Program combines digital twin simulation and real time data such that “Data intelligence and visibility allow proactive and pre-emptive action to be taken to avoid failure.”
Maria Wilson
Global Leader for Data-driven Advantage at Howden
Source: The Three Components of Predictive Service, citing Howden Uptime
According to global engineering business, Howden,
Ready to unlock the secret to successfully predicting customer issues while delivering scalable business benefits? Click below to reveal each secret.