Qlik Predict - Adding the SHAP Data

In this episode of the Do More with Qlik: Tips & Tricks Edition, Mike Tarallo shows you how to add SHAP (explainability) data to your Qlik Sense prediction app. This follow-up to the previous video walks you through how to load, inspect, and associate prediction SHAP and coordinate SHAP datasets, allowing you to analyze the key influencers behind your model's predictions. By the end of this video, you'll have SHAP data successfully added and linked to your Qlik Sense app, setting the stage for building impactful explainability visualizations in the next episode. ⏱️ 00:05 – Introduction Welcome and recap of what SHAP data is and its purpose in predictive analytics. ⏱️ 00:18 – What This Video Covers Overview of how to add SHAP data to your Qlik Sense prediction app and use it for influencer analysis. ⏱️ 00:31 – Sample Analytics with SHAP Data Preview of the types of visualizations you can create using prediction and coordinate SHAP datasets. ⏱️ 01:00 – Opening Qlik Sense & Navigating to Data Manager Step-by-step walkthrough of where to begin inside the Qlik Sense app. ⏱️ 01:20 – Adding SHAP Data from Catalog How to locate and select SHAP data files (CSV/Parquet) generated during model deployment. ⏱️ 01:42 – Inspecting the Prediction SHAP Dataset Explanation of how SHAP values are structured by feature and order ID. ⏱️ 02:00 – Understanding Coordinate SHAP How coordinate SHAP pivots SHAP values into a more visual-friendly format. ⏱️ 02:23 – Loading SHAP Data into App Loading selected SHAP datasets into the Qlik app for analysis. ⏱️ 02:34 – Linking Datasets by Order ID Using Data Manager to associate SHAP data with the prediction model via a common identifier. ⏱️ 03:02 – Finalizing Data Load Completing the data load and ensuring all sources are connected. ⏱️ 03:14 – What’s Next Preview of the next video: building visualizations to analyze SHAP data.