Data Analyst Portfolio Project: Product Analytics Case Study (Step-by-Step)

🚀 Want the full Product Analytics Portfolio Project with deeper walkthroughs and more tables? 👉 https://www.portfoliostack.io/?utm_source=youtube&utm_medium=video&utm_campaign=product_analytics&utm_content=m1_description

After building dashboards, writing SQL, and working with data tools, many analysts still struggle with one critical step which is understanding the business context behind the analysis.

In this first module, we focus on something that is often skipped in portfolio projects: the business foundation.

Before any data is explored or transformed, strong analysts take the time to understand how the business operates, how value is created, and what decisions need to be supported. This is where many projects lose impact, not because the analysis is wrong, but because it lacks context, direction, and relevance to real decision-making.

📌 In this module we cover:
- Understanding how a product creates value
- Mapping customers, usage, and business flows
- Identifying key stakeholders and their decisions
- Translating business challenges into analytical questions
- Defining what “good” looks like before touching data

🔗 Module 1 sets the foundation for the entire project. It ensures that everything built in later modules (data models, KPIs, and dashboards) and that it is grounded in real business needs.

📺 Next, we move into Module 2 where we explore how raw data enters the analytics environment and how it is structured and prepared for analysis.

Видео Data Analyst Portfolio Project: Product Analytics Case Study (Step-by-Step) канала Ali Ahmad