Today, many people want to visualise and understand data but building dashboards in a simple and flexible way is still a challenge. Coaches, analysts, and teams (both in sports and non-sports domains) often want to create custom dashboards that match how they think and work. These dashboards are their secret sauce, and they want to build them easily without relying on complex tools or deep technical skills. People also need the freedom to visualise different types of information, such as heat maps, player comparisons, or team performance views. Budget-limited teams may not have access to advanced visualisation software or coding expertise. As a result, important insights often stay stuck in spreadsheets or shared drives, making them hard to use and share.

To solve this, EZ Charts, a feature of the SPAN Sports Performance Platform, helps users not just visualise data but also build fully custom dashboards in an easy way. Teams can design dashboards based on their own strategy and workflow, without needing complex tools or engineering support. The real power of EZ Charts is that every chart is linked to video. This means users don't just see numbers - they can instantly see the video moments behind the data, which serves as proof. For example, all shots taken by a player can be viewed with one click, or two players can be compared visually with clear video-backed evidence. This is where data truly turns into insight.

EZ Charts are built using simple and widely used languages like Python, but even non-coders can modify and improve dashboards using LLMs such as ChatGPT. This allows users to customise charts and dashboards without writing code from scratch.

In the following articles, we will explain how to build video-linked, customisable EZ Charts step by step, along with the prerequisites. We will also provide master prompts to create dashboards using tools like Plotly, Apache ECharts, and AG Grid.