SIMPLIFYING COMPANY DATA INTO A CLICKABLE NETWORK

Our client had a rich dataset with detailed company ownership, stakeholder links, legal records, financials, and employee stats sourced from official databases. However, the data was locked in static tables, hard-to-navigate reports, and slow-loading PDFs, making it difficult for users to extract actionable insights quickly. The key challenge was transforming this complex, messy company data into an intuitive, interactive visualization that clearly maps ownership and financial relationships. The solution needed to be fast, user-friendly, scalable, and supportive of diverse user needs - from business owners to analysts and journalists - enabling them to identify potential fraud risks, sales opportunities, and network connections without data fatigue.

Defining Scope and User Needs

We began by clarifying the visualization requirements, identifying primary users, prioritizing relevant data, and determining the depth of relationship layers to strike a balance between informativeness and user-friendliness.

Intuitive, Interactive Visualization Design

The platform uses clickable bubbles representing companies that expand into detailed views on double-click. Users can explore ownership networks, stakeholder connections, and financial and legal information, all represented with clear, color-coded links that require no legend.

Frontend Development with Modern Technologies

Built with React and TypeScript, the frontend delivers high responsiveness and flexibility. Styled Components and Material UI maintain a clean, consistent interface adapted for desktop and tablet devices, ensuring seamless interaction with complex data.

Quality Assurance and Performance Optimization

Ongoing QA testing focused on usability factors such as expanding nodes, dragging elements, and click accuracy. Attention was also given to loading speed and mobile optimization to ensure a smooth, fast, and reliable user experience.