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During this video, we will be talking about one of the interesting features of Power BI which is Anomaly Detection. We will be talking everything about Anomaly Detection in Power BI in detail with the help of an example. Anomaly detection helps us to enhance our line charts by automatically detecting anomalies in our time series data. It also provides explanations for the anomalies to help with root cause analysis. With just a couple of clicks, we can easily find insights without having to slice and dice the data. If you increase the sensitivity, the algorithm is more sensitive to changes in your data. In that case, even a slight deviation is marked as an anomaly. If you decrease the sensitivity, the algorithm is more selective on what it considers an anomaly. First, we will see, What is Anomaly detection and how it is useful with our business data? Then we will try to understand, how we can enable the preview feature to use the anomaly detection feature? After that, we will see how we can add Anomaly detection for our line chart? Anomaly detection also provides us useful information on the reason, why the anomaly occurred to your business data. This will show all possible parameter which took part to detect an anomaly. At last, we will see Explain by property of the Anomaly detection. Download Sample File: https://github.com/Dhruvinshah16/Powe... Chapters for OOTB Anomaly Detection in Power BI 00:00 Introduction 00:33 Agenda for session 01:25 Enable Preview feature 01:48 What is Anomaly Detection? 03:21 How to add Anomaly Detection for a Line Chart? 05:01 Get detailed Analysis for detected Anomaly 07:50 Test Case 02 08:45 Explain by - Anomaly Detection 09:51 Change Anomaly Shape 10:57 Expected Range Style 12:28 Forecast and Anomaly together not possible 13:41 Questions? 13:57 Subscribe #PowerBI #PowerBIWithDhruvin #AnomalyDetection #PowerBIService #DhruvinShah #PowerAddict