Establishing a robust analytics setup can feel like an uphill battle, especially when starting from scratch. In my experience, this process involves understanding the business’s unique needs, identifying the right tools, and ensuring data quality.
When I embarked on building our analytics framework, I quickly realized the importance of collaboration across departments. Engaging with stakeholders from marketing, sales, and operations helped ensure that the analytics setup would serve their needs effectively. Additionally, I learned that selecting the right tools is crucial. We opted for a combination of Google Analytics for web traffic analysis and Python for deeper data dives.
As I reflect on this journey, I see it as a continuous learning process. Every challenge faced has become a valuable lesson, whether it was resolving data discrepancies or implementing best practices for data governance. In this post, I’ll share the key lessons learned while building an analytics setup and how you can apply them to your organization.