تصميم لوحات تحكم تفاعلية احترافية باستخدام Power Bi

In this Retail Analytics dashboard built with Power BI, I explored sales transactions, customer segments, brand performance, and product preferences to uncover actionable insights that can support data-driven decision-making and business strategy. Here are some of the key findings from the analysis 👇 -Older Singles/Couples generated the highest revenue, followed by Retirees and Older Families. -Mainstream customers represented the largest customer segment, highlighting the importance of value-driven strategies. -Kettle was the top-performing brand, significantly outperforming competitors. -The 175g pack size showed the highest demand, indicating a clear customer preference. Business Recommendations 👇 -Prioritize marketing campaigns for older customer segments. -Focus on retaining and growing mainstream customers. -Leverage Kettle's strong brand position through promotions and partnerships. -Maintain optimal stock levels for the 175g pack size.