Background

Your company owns a chain of stores across Russia selling various types of alcohol. A recent wine promotion in Saint Petersburg was a huge success! 🎉 However, running it everywhere isn’t feasible, so the marketing team needs to identify 10 other regions with similar buying habits to ensure a successful rollout.

🔍 Your Challenge: Analyze the data and recommend 10 regions that should get the promotion. Back up your choices with insights that tell a compelling story!

📌 Guided Checklist

✅ Analysis

  • How clear and well-presented are your recommendations?
  • Are your conclusions valid based on the data?
  • How many useful insights can you find?

📖 Storytelling

  • Do your insights connect well with your recommendations?
  • Is your narrative structured, engaging, and to the point?

📊 Visualizations

  • Are your charts/graphs appropriate and easy to understand?
  • Do they clearly highlight key insights?

💡 How to Get Started: 1️⃣ Use any tool of your choice for analysis. 2️⃣ Extract meaningful insights and build a strong case. 3️⃣ Publish your findings. 4️⃣ Share your work on LinkedIn and tag me! (https://www.linkedin.com/in/irene-nafula-hdp/) 5️⃣ Document your project on GitHub. Use the video below as a guide https://youtu.be/0N9xekdKCwk

Connect with me