Managing and analyzing large volumes of social media data across platforms is complex and time-sensitive. Meltwater required a scalable SaaS web application that could surface real-time insights, support high data throughput, and remain intuitive for marketing and communications teams.
We began by aligning with Meltwater’s product and data teams to understand core user workflows, data sources, and performance constraints.
Based on these inputs, we designed a modular front-end architecture in React, optimized for rapid iteration and long-term maintainability.
User journeys were mapped to prioritize high-impact analytics flows.
Component-based UI accelerated feature development.
Scalable architecture ensured consistent performance under load.
AWS services were leveraged to support scalability, reliability, and secure data handling. The application was built to accommodate continuous feature expansion without compromising performance.
Iterative releases and close collaboration enabled a smooth rollout to enterprise customers.
The final SaaS web application empowered Meltwater users with faster, clearer insights into social media performance across channels.
The platform delivered measurable improvements in insight speed, usability, and operational efficiency for enterprise teams.
React was used to build a modular, high-performance front end, while AWS powered scalable infrastructure and secure data pipelines required for a modern SaaS analytics platform.
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