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How does Microsoft Fabric address the issue of managing large volumes of retail data?
By providing real-time data analysis
By integrating siloed applications
By offering personalized recommendations
By establishing OneLake as a unified data storage solution
What is the purpose of the retail industry data model?
To provide personalized shopping recommendations
To simplify data management and analysis in retail
To enhance customer satisfaction through AI algorithms
To manage inventory across different retail locations
What insights can retailers derive from the Frequently bought together model?
Customer satisfaction scores
Revenue of items frequently bought together by product groupings
Employee performance metrics
Inventory turnover ratios
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