In the digital era we live in, data is everywhere — it’s collected from sources like web and mobile applications, IoT devices, social media interactions, and CRM systems. As a SaaS product owner myself, I’ve seen how this vast array of data sources can become overwhelming when it comes to user behavior analysis and visualization. The challenge is not just in collecting the data but also in managing and making sense of it.

A solution I’ve found effective is setting up a centralized data processing pipeline. It involves collecting user data from various sources, storing it in a single database, and then analyzing and visualizing this data in real-time to provide insights into the product and how users are using the product. It’s like having a one-stop shop for all your data needs, which can be extremely useful for decision-making processes.