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Advanced Power BI Dashboard

Sales Analytics PowerBI

Overview

This repository contains an Advanced Sales Analytics Dashboard built in Power BI, designed to provide deep insights into sales performance, profitability, and trends.

Features

  • Measure Selector for dynamic analysis
  • Conditional Formatting for better data visualization
  • Bookmarks for seamless navigation
  • Complex DAX Measures to generate insightful visuals
  • Reset Button to clear filters easily
  • Tooltips for quick insights
  • Profitability Analysis to identify high-profit areas

Key Insights & Recommendations

1. Top Improved Salespersons: Ches Bonnell & Gunar

  • What factors contributed to their improvement?
  • Were they newly hired?
  • How can we sustain their performance and motivate them further?

2. Top 5 Salespersons: Kelci Walkedn, Rafaelite Blaksland, Husein

  • Consider offering incentives to maintain motivation.
  • Leverage their expertise—train other sales team members.

3. Top Selling Products: Organic Choco Syrup & Peanut Butter Cubes

  • Can we bundle these with lower-performing products to boost overall sales?

4. Most Profitable Products: 99% Dark & Pur, Fruit & Nuts Bar

  • Can we introduce a new product line with similar ingredients?
  • Should we invest more in marketing these products to maximize sales?
  • 99% Dark & Pur has the highest profit margin but ranks third in sales—how can we boost its sales further?

5. Sales Decline: 25.3% Drop in Canada

  • Identify the root cause:
    • Were discounts discontinued?
    • Did a major retailer stop carrying our products?

6. Sales Growth: Notable Increase in India & New Zealand

  • What strategies worked here that didn’t elsewhere?
  • Should we replicate these strategies in other regions?
  • Is marketing the key driver?

7. Bars Among Top-Selling Products

  • What strategies made bars successful?
  • Can we apply these strategies to boost sales of Bites?
  • Should we focus more on our core product line (Bars)?

8. India’s Market Success: 3 of the Top 5 Selling Products Are from India

  • What factors contribute to their strong performance?
  • How can we apply these insights to other markets?

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