🔍 Assess Project Requirements: Start by identifying the specific data types and visualization complexity needed for the project, ensuring the new tool can handle these demands effectively. 🧑💻 Evaluate User-Friendliness: Choose a tool that is intuitive for the team, reducing the learning curve and minimizing the need for extensive training to accelerate adoption. 🔗 Check Integration Capabilities: Confirm the tool can integrate smoothly with existing data sources and software, ensuring a seamless flow of data without compatibility issues. 📈 Prioritize Scalability: Select a tool that can grow with project needs, accommodating larger datasets or more sophisticated visualizations as requirements evolve.

If your data visualization tool isn’t working for you, start by thinking about what you need it to do. Look for something that’s simple to use, so your team can pick it up quickly without extra training. It’s also important to make sure the tool works well with the software and data sources you already use. Many people find it helpful to try out a few options, read reviews, and get advice from others who’ve faced the same challenges. The key is finding a tool that feels like a natural fit for your team and your project.

With advancements in GenAI, tools are also evolving. Try a modern tool like Tower by Codygon. Tower generates dashboards using AI but you can still customize visuals by chatting with your charts.

In the process of converting data to info to knowledge, along with visualisation, one might need to integrate more data sources and data platforms to bring higher intelligence to the analysis. For example, going to an extra step to create spatial visualisations using d3 or any other js, we need to add Google Maps or such base Layer to create more intuition and information to enable businesses and product teams identify actual patterns from real world. We also might add more APIs from more platforms or systems which are not by default in BI platforms. Here we need to create APIs and BI modules to arrive at the requirement which is not just a task but fun and also a great value addition to the BI platform, either existing one or custom one.