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.

operationalize-data-model

Guide Info

Level Intermediate
Est. Time 60 Minutes
Published Sep 09, 2020
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
 Register to Start Guide

Things used in this guide

Software components:
  • ThingWorx Analytics
  • ThingWorx Foundation
Previous knowledge
Build a Predictive Analytics Model

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.
Developer-Backend-Learning-Path-Image_GrayBG_250x95
Design and Implement Data Models to Enable Predictive Analytics
7 Units
390 Minutes
Your Status: Not Started
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
Data Model Introduction
0% Complete
2
Build
Design Your Data Model
0% Complete
3
Build
Data Model Implementation
0% Complete
4
Build
Create Custom Business Logic
0% Complete
5
Build
Implement Services, Events, and Subscriptions
0% Complete
6
Analyze
Build a Predictive Analytics Model
0% Complete
7
Analyze
Operationalize an Analytics Model
0% Complete