Microsoft Fabric Analytics Engineer Associate DP-600
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You are tasked with implementing descriptive analytics on a dataset containing sales data from a retail chain spanning the last five years. The dataset includes fields such as 'Date', 'StoreID', 'ProductID', 'SalesAmount', and 'CustomerID'. Describe the steps you would take to analyze this data to identify trends in sales, seasonal variations, and the performance of individual stores. Include in your answer how you would use SQL queries to aggregate the data and what visualizations you would employ in Microsoft Fabric to represent the findings.
You are tasked with implementing descriptive analytics on a dataset containing sales data from a retail chain spanning the last five years. The dataset includes fields such as 'Date', 'StoreID', 'ProductID', 'SalesAmount', and 'CustomerID'. Describe the steps you would take to analyze this data to identify trends in sales, seasonal variations, and the performance of individual stores. Include in your answer how you would use SQL queries to aggregate the data and what visualizations you would employ in Microsoft Fabric to represent the findings.
Explanation:
The correct approach involves aggregating the data by month and year to capture trends and seasonal variations, which is best represented using line charts. Heat maps can be used to show variations across different stores and products, providing a comprehensive view of performance over time.