Anomaly Detection

Anomaly detection in Power BI enables report creators to enhance line charts by automatically detecting anomalies in a time series data.

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Many times with the analytical work that you are completing, you may want to showcase anomalies. The reason for doing this type of analysis is that you will sometimes want to understand why you’re receiving some type of outlier or anomaly in your data set. Additionally, you want to be able to narrow your focus into that specific anomaly and try to understand why it’s occurring. If you’re an organization, it’s crucial to understand the output of your data models and reporting visualizations. If your sales are increasing exponentially, you’d be very interested to understand why and when so you can maximize on that and increase them some more.

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Anomaly Detection

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Sam McKay

CEO & Founder

  • Sam is Enterprise DNA's CEO & Founder. He helps individuals and organizations develop data-driven cultures and create enterprise value by delivering business intelligence training and education on Microsoft’s Power BI platform
  • He partners with business decision-makers and analysts across all industries and business functions.

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