Qlik Predict - Create the Qlik Sense Predictive App

Welcome to Part 2 of the Do More with Qlik Tips and Tricks Edition series! In this session, Mike Tarallo shows you how to create a predictive analytics app in Qlik Sense using only the prediction output generated in Part 1. You’ll walk through app creation, data linking, KPI generation, and visual chart building—all without touching the SHAP explainability data (which is coming in the next video!). By the end of this video, you'll be able to: Link prediction and apply datasets Build key visualizations like KPIs and bar charts Use filters and set analysis to segment your predictions Interpret prediction probabilities and begin exploring feature impact 🧭 Chapters (Icon + Timestamp + Title) 📢 00:00:00 – Intro & Overview Welcome to Part 2 of the predictive Qlik Sense app series. 📺 00:00:12 – Series Recap & Dashboard Preview Brief look back and demo of the finished prediction dashboard. 🧁 00:00:44 – What You’ll Build: Prediction-Only App Introducing the outcome we'll build using prediction data. 📂 00:01:45 – Creating a New App in Qlik Sense Step-by-step creation of a new AutoML dashboard app. 🔗 00:03:39 – Linking Prediction & Apply Datasets Combining current data with prediction output via Order ID. 🧠 00:04:54 – Understanding Data Fields & Linking via Order ID Exploring key fields and Qlik's auto-recognition. 📊 00:05:41 – Exploring Prediction KPIs Overview of late vs. on-time order metrics. 📈 00:06:00 – Analyzing Transport Partner Influence Identifying patterns using predictive percentages. 🧪 00:07:45 – Hands-on: Creating KPI Objects Manual creation of measures and set analysis logic. 🔍 00:08:59 – Using Filters & Set Analysis Tips for filtering predictions with current selections. 📉 00:10:24 – Building a Bar Chart with Percentages Visualizing average predicted lateness by dimension. ✅ 00:11:27 – Wrap-Up & Next Video Teaser: Adding SHAP Preview of next steps: introducing explainability data (SHAP).