Operationalize an Analytics Model

Use Analytics Manager and ThingPredictor to automatically perform analytical calculations.

Project Concept

This project will introduce ThingWorx Analytics Manager.

Following the steps in this guide, you will learn how to deploy the model which you created in the earlier Builder guide.

We will teach you how to utilize this deployed model to investigate whether or not live data indicates a potential engine failure.

Project Info

Type Tutorial
Level Intermediate
Est. Time 60 Minutes
Published October 17, 2018
Author Jason Wyatt
Analyze

You'll learn how to

    • Deploy and execute computational models
    • Define and trigger Analysis Events
    • Map incoming data to the Model
    • Map analytic outputs to applications
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Things used in this project

Environment:

In order to proceed with this guide, you must first complete the Build a Predictive Analytics Model guide.

This guide may be completed in any environment where you have access to both ThingWorx Foundation and Analytics.

This includes both the 30-day hosted evaluation server, as well as a combination of both the Foundation and Analytics downloadable, 120-day, self-hosted trials.

Software components:
Previous knowledge:
Get Started with ThingWorx for IoT

OPERATIONALIZE AN ANALYTICS MODEL

Outline
  • Step 1: Analytics Architecture
  • Step 2: Simulate Data Source
  • Step 3: Configure Provider
  • Step 4: Publish Analysis Model
  • Step 5: Create Event
  • Step 6: Test Model
  • Step 7: Next Steps