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You are a data analyst for a retail company planning to leverage Microsoft Fabric Analytics for exploratory analytics on a dataset containing customer purchase history. The company aims to enhance customer engagement through targeted marketing campaigns. Given the constraints of data privacy compliance and the need for scalable analysis, which of the following approaches would BEST utilize Microsoft Fabric Analytics to segment customers based on their purchase behavior for targeted marketing, while also considering the nuances of data privacy and scalability? (Choose one option)
A
Calculate the total revenue generated by each product category and visualize the results using Power BI for immediate stakeholder review.
B
Perform a time series analysis to forecast future customer spending trends, using Azure Machine Learning for predictive insights.
C
Use clustering algorithms within Microsoft Fabric Analytics to segment customers into groups based on their purchase behavior, ensuring data privacy compliance by anonymizing personal data before analysis.
D
Analyze the correlation between customer demographics and purchase patterns using SQL queries, then export the results for further analysis in Excel.