INTRODUCTION TO THINGWORX ANALYTICS Name Title
KEY TAKEAWAYS IoT Analytics • Analytics is a journey that relies on a spectrum • of capabilities Start your journey now, with the data you • have, and gain more value over time 2
The Analytics Paradigm DATA LOGIC INSIGHT
UTILIZING IOT DATA ANALYTICS FOR BUSINESS INTELLIGENCE Harnessing IoT data analytics is not a one-time exercise • It’s a continuous process • Not everything is going to work • Optimizing what you do today is not enough either • McKinsey “Unlocking the potential of the Internet of Things” Gartner “Top 10 Strategic Technology Trends for 2018” 4
ANALYTICS MATURITY MODEL Advanced Analytics Descriptive Predictive Prescriptive Diagnostic What Why did it What will What should happened? happen? happen? I do? 5
WHAT QUESTIONS ARE YOU ASKING OF YOUR IIOT DATA? ? Limited view Full view 6
4 TYPES OF ANALYTICS CAPABILITIES Require different levels of human input to take action Descriptive What happened? Diagnostic Why did it happen? Predictive Data Action Decision What will happen? Decision Support Prescriptive What should I do? Decision Automation Feedback 7
INDUSTRIAL INNOVATION PLATFORM CAPABILITIES SOURCE CONTEXTUALIZE SYNTHESIZE ORCHESTRATE ENGAGE Model Digitize via scan, photo, or video 8
PREDICTIVE ANALYTICS Data Logic Insight Thing Model Predictive Model Future Intelligence Feedback Applies machine learning to historical data to make predictions about future outcomes • Example Use Cases • – Predict failures – Predict quality – Determine when service is needed – Predict sales, risk of churn 9
COMPLETE INDUSTRIAL INNOVATION PLATFORM CAPABILITIES ENGAGE SOURCE CONTEXTUALIZE SYNTHESIZE ORCHESTRATE Platform Analytics Analytics Integrations ▪ Easily create models with automated ▪ Operationalize models machine learning ▪ Use ThingModel data for scoring and ▪ Diagnostic, predictive, and analytics outputs across all of your prescriptive outputs ThingWorx applications ▪ Intuitive interface for data interaction ▪ Perform simulation-driven analysis and pattern detection 10
AUTOMATED MACHINE LEARNING WITH THINGWORX ANALYTICS 11
Analytics Builder SIMPLE, INTUITIVE MODEL CREATION • User interface for simple, intuitive interaction with data • Exposes complex relationships in data as simple- to-understand information • Simplifies the advanced analytics process, helping interpret information faster and save valuable time 12
Analytics Manager ENABLE DEPLOYMENT AND EXECUTION OF MODELS • Define and trigger analysis events • Map incoming data to model, created with ThingWorx or externally • Map analytic outputs to applications 13
KEY POINTS • IoT Analytics • Analytics is a journey that relies on a spectrum of capabilities • Start your journey now, with the data you have, and gain more value over time 14
USE CASES 15
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