Case Study: Building a Data Visualization Platform for Marketers

The client is a strategic data design and development studio based in Bucharest. Its mission is to transform data into business tools, having collaborated over time with national and international brands across multiple industries.

Discover how Codezilla created a data visualization platform for marketers

Brief

The main objective was to develop a modern and scalable platform that would:

  • Simplify the organization and analysis of marketing data.
  • Offer customizable and intuitive visuals.
  • Integrate artificial intelligence for insight generation.
  • Enable real-time collaboration across tools and teams.

Challenge

The key challenge was finding the right balance between:

  • The technical complexity required to integrate multiple data sources.
  • Maintaining speed and simplicity in everyday use.
  • Integration with social analytics and spreadsheet tools.
  • Visual customization options without requiring technical skills.
  • Platform scalability, ensuring performance as data volume grows.

Approach

We built a modern, flexible architecture based on Next.js for the frontend and NestJS for the backend.

This architecture ensures a fast, secure, and flexible experience, tailored to the complex requirements of a data visualization platform.

Process

  • Analysis & documentation: We started from the real needs of marketing teams, mapping data flows and defining the main types of visualizations.
  • UX & UI design: We focused on clean, intuitive interfaces, with customizable dashboards and drag-and-drop logic for building charts.
  • Web development with AI integrations: We integrated AI to organize and simplify data, generate insights, and automate reporting, while optimizing the rendering speed of complex elements. This included lightweight tools for filtering, grouping, and sorting data, as well as live visualization previews for instant feedback.
  • Customization: We developed 10+ chart types (bar, line, pie, heatmap, funnel, decision tree, etc.), color themes, annotation tools, export options (PNG, PDF, HTML), fully responsive mobile layouts, and real-time screen sharing.

Technologies & Solutions

  • Frontend: Next.js - high performance, SEO-friendly, fast and dynamic interfaces.
  • Backend: NestJS - modular, scalable, and easy to maintain architecture.
  • AI integration: data processing algorithms that suggest patterns, insights, analyses, and reports.
  • Real-time collaboration: features that allow multiple users to work simultaneously within the platform, without lag or data conflicts.

Identity & Branding

The UI proposal was built around the client’s brand identity, ensuring a cohesive visual presence and a consistent user experience.

Results

  • A scalable, intuitive platform with modern, attractive UX & UI design.
  • Reduced time for data analysis, processing, and rendering.
  • Efficient real-time collaboration.
  • Added value through AI-powered insights.

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