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Data-Analytics

Store Data Analytics

important steps:

  • Utilized "Find and Replace" functionality to clean and preprocess data efficiently.
  • Segmented customer age into three distinct age groups using IF formulas for enhanced demographic insights.
  • Extracted month information from date fields using the TEXT function, enabling time-based trend analysis.
  • Analyzed and visualized data through Pivot Tables, uncovering key patterns and trends.
  • Prepared a comprehensive report and shared actionable insights with stakeholders to inform decision-making.

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