Session

From Patterns to Predictions: Seasonality Analysis and Dynamic Sales Forecasting in Power BI

In this session, we’ll walk through how to uncover hidden seasonal patterns in your sales data and build a dynamic sales forecast using Power BI. Understanding sales seasonality enables businesses to identify which products sell more during specific periods, improving inventory and marketing strategies. With dynamic forecasting, we’ll leverage historical data to predict future trends—turning insights into actionable foresight. Whether you’re in retail, pharma, or any other industry, this session will equip you with practical DAX techniques and visualization best practices for smarter decision-making.

Ilgar Zarbaliyev

Microsoft ®MVP | MCT Community Lead | ETF Ambassador

Baku, Azerbaijan

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