Build a Real Product Analytics Portfolio Project (Business Context)

Описание: 🚀 Want the full Product Analytics Portfolio Project with deeper walkthroughs and more tables? 👉 https://www.portfoliostack.io/?utm_so...

Understanding the business problem is the foundation of every data analytics portfolio project. In this video, you’ll step into the role of a data analyst working with NordicFlow, a fictional Nordic SaaS CRM company.

This video kicks off a hands-on Product Analytics Portfolio Project where you learn how professional product analytics work is actually done in real organizations. Before touching data, dashboards, or SQL, we focus on understanding the business context, product, customers and organizational reality that analytics is meant to support.

The project is intentionally designed to reflect how analytics work happens in practice instead how tools are used in isolation.

🎥 Video Chapters
00:00 - Intro
00:40 - Project Overview
01:09 - Business Context Walkthrough
01:50 - Document Overview
03:26 - Company Background
06:10 - Product & How Value Is Created
08:16 - Customers & NordicFlow Usage
12:00 - Organizational Landscape
14:15 - Business Challenges
16:50 - Strategic Ambitions & Success Criteria
20:32 - Role of Analytics & the Data Professional
24:30 - From Context to Analytics Work
26:50 - Wrap Up & Next Steps

📌 Company & Product Context
Learn how NordicFlow operates as a SaaS business, how its CRM product creates value, how customers use it and how product, sales and marketing teams depend on data to make decisions.

🎯 Business Goals & Success Criteria
Translate leadership ambitions into analytical focus areas such as:
Product adoption and usage
Customer activation and retention
Feature engagement
Revenue growth and churn reduction

You’ll build a mental model of what success looks like before deciding what data to analyze.

👥 Stakeholders & Analytics Consumers
Understand the perspectives and needs of:
Product Managers
Growth & Marketing teams
Sales leadership
Executive stakeholders

And how analytics must serve decision-making across the organization.

📄 Project Scope & Deliverables in this Series
Across the full Product Analytics project, you’ll work through:
SaaS product data modeling
Usage & engagement analytics
Retention and funnel analysis
Executive-ready dashboards

📁 Want to follow along?
Before continuing, make sure your analytics environment is set up as you see here👉 Environment setup video link    • Set Up a Professional Analytics Workspace ...  

You can also find the file we walked through in this video here 👉 https://github.com/aliahmadportfolios...

Happy learning!