Development of a Modular, Cloud-Native Data Visualization and Embedded Analytics Platform

The client requires an adaptable visualization framework capable of embedding dynamic charts and analytics into their digital platforms. They face challenges in migrating existing infrastructure to a more scalable cloud environment and need the ability to extend the visualization capabilities to suit evolving user needs, ensuring maintainability and performance across large datasets.

A mid-sized organization aiming to enhance its data presentation capabilities through customizable, maintainable visualization tools embedded within client-facing solutions.

• Implement a maintainable architecture for embedded visualization tools that supports customization and extension.
• Migrate existing data and application infrastructure from AWS to a cloud platform optimized for data analytics.
• Develop new features to enable flexible, high-performance visualization of large datasets embedded within client solutions.
• Ensure the platform is scalable, reliable, and supports rapid deployment and updates.

• A modular architecture enabling easy customization and extension of visualization tools.
• Support for embedding visualizations within web pages or client portals.
• Data ingestion mechanisms to connect with various big data sources.
• Built-in visualization components such as charts, graphs, and dashboards that can be extended or customized.
• User-friendly interfaces for configuration and customization of visualizations.
• Robust data handling for large datasets, ensuring performance and responsiveness.

• Big Data storage and processing systems for data ingestion
• APIs for embedding visualizations into various web platforms
• Monitoring and performance analytics tools

• Support for scalable deployment across multiple cloud regions with auto-scaling capabilities.
• High performance with fast load times on large datasets.
• Security standards including data encryption and access controls.
• Reliability with minimal downtime and seamless updates.

The new visualization framework is expected to enable embedding maintainable, high-performance visualizations into client solutions, facilitating customized data insights. This will support the client’s scalability and extend their data presentation capabilities, resulting in improved user engagement and operational efficiency. The migration and development efforts aim to enhance system responsiveness and reliability across large datasets, ultimately increasing client satisfaction and competitive advantage.