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    • Projects
      • Python
      • Data Analysis
      • Data Engineering
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    • Python
    • Data Analysis
    • Data Engineering
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Sales Insights Using PowerBI and SQL

  • Enhanced Data Analysis: The connection between the SQL database and Power BI enables real-time or near-real-time analysis of the sales trend. The solution provides users with the ability to explore and analyze data more efficiently, leading to better insights and understanding.
  • Improved Decision Making: The creation of the three dashboards (Key Insights, Profit Analysis, and Performance Insights) equips users with a comprehensive view of the sales trend from different perspectives. This enables informed decision-making, such as identifying profitable products, optimizing pricing strategies, and targeting specific customer segments.
  • Increased Efficiency: By utilizing Power BI's data transformation features, data cleaning and transformation tasks are streamlined. This saves time and effort, allowing users to focus more on analyzing the data and extracting valuable insights.
  • Revenue Growth: With the ability to access key insights, analyze profitability, and monitor performance effectively, AtliQ hardware anticipates achieving revenue growth of at least 7% in the next quarter. The data-driven decision-making facilitated by the Power BI dashboards contributes to identifying growth opportunities and implementing effective strategies.
  • Overall, this solution approach leverages the power of SQL and Power BI to provide a robust data analysis and visualization solution, empowering AtliQ hardware to make informed decisions and drive revenue growth.

VISIT project

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