Operationalize an Analytics Model
Use Analytics Manager and ThingPredictor to automatically perform analytical calculations.
Guide 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.

Guide Info
Level | Intermediate |
Est. Time | 60 Minutes |
Published | Sep 09, 2020 |
Author | Jason Wyatt |
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
Things used in this guide
Software components:
-
ThingWorx Analytics
-
ThingWorx Foundation
Previous knowledge
Operationalize an Analytics Model
Outline
This guide is part of a Learning Path. We've curated other guides relevant to this one to help you learn and get up to speed as quickly as possible.
Learning Path Overview
Design and Implement Data Models to Enable Predictive Analytics
Design and implement your data model, create logic, and operationalize an analytics model.
In This Learning Path
1
Build
2
Build
3
4
6
7
Analyze
Operationalize an Analytics Model
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