Anomaly Detection in Power BI

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.

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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
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