Develop Your Predictive Model with ThingWorx Analytics

Develop a production-ready Predictive Analytics data model and corresponding mashup that can be implemented into your ThingWorx environment to provide operational insights

In this service, a PTC Expert will work collaboratively with you to build a Predictive Analytics model.define the use case, provide guidance regarding the appropriate data and format for you to build an Analytics-ready file, perform feature engineering, load data into ThingWorx Analytics, build and evaluate models, determine the final “champion” model, and configure a ThingWorx mashup to visualize the Predictive results. 

How it Works

This is an 8-week engagement and includes the following activities:

  1. A review of your use case and the data available for the work.
  2. The PTC Expert will load the data into ThingWorx Analytics and build models.
  3. An evaluation of the results of the data models to determine the model that best describes the use case.
  4. Configuration of a Predictive Maintenance ThingWorx mashup that can be implemented into a production environment to apply the predictive data model to streaming data.

Prerequisites

 The following criteria must be met before this service can be consumed:

  • You must have an analytics use case identified
  • You must have data sufficient to evaluate the use case
  • You must prepare the data in an Analytics-ready Excel file
  • You have implemented ThingWorx to connect assets, have established connectivity and visualization

Additional Information

Outcome: Develop a production-ready Predictive Analytics data model and corresponding mashup that can be implemented into your ThingWorx environment

Journey: IoT

Remote or Onsite: Both

Success Points*: 100 points for NA and 8 additional points for Onsite

*Please note: Information including Success Point values may vary depending on location. Success Point values shown are for reference only and based on North America. Contact your Success Manager for specific services and point values for your location. Please refer to our terms and conditions for additional details.

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