Analyzing impact analysis for apps and datasets

In this video, you’ll learn how to use Impact Analysis in Qlik Cloud to understand downstream dependencies between data, apps, and fields. Impact Analysis provides a forward-looking view of how changes to a dataset or field could affect related objects — including databases, apps, QVDs, and links. You’ll see how to navigate direct and indirect dependencies, explore object details, and use lineage views to trace data relationships visually. This feature helps data engineers, developers, and business users ensure data governance, impact awareness, and change transparency across Qlik Cloud. 🚀 00:00 Intro 📊 00:08 What is Impact Analysis in Qlik Cloud 🔍 00:15 Understanding downstream dependencies 🧭 00:27 How changes to fields affect dependent objects 🧩 00:35 Types of dependencies – direct and indirect 👤 00:41 Identifying impacted item owners ☁️ 00:43 Aggregated summary of downstream impact in Qlik Cloud 🔗 00:55 Understanding impact lineage 🧮 01:08 What are dependent objects 🧱 01:14 Viewing dependency counts and summary view 🔀 01:21 Direct vs. indirect dependencies examples 🧩 01:36 Exploring base node and dependency overview 🟩 01:44 Dependency types: databases, apps, storage, and links 📂 02:00 Drilling into dependent objects ⚙️02:07 Accessing details and metadata overview 🔐 02:13 Understanding access-based visibility 🔄 02:20 Using “Make this the base node” and lineage options 🗂️ 02:36 Opening metadata overview for deeper insight ✅ 02:41 Conclusion