AI-powered internal analytics platform for enhanced decision-making
We partnered with Twitter to design and develop a custom, AI-enhanced internal data dashboard that empowered non-technical teams to visualize user engagement, access real-time insights, and reduce their reliance on data engineering resources.
Weeks to launch from client brief
to MVP
Twitter needed a flexible, self-service analytics tool that would allow internal teams—particularly those outside of engineering—to access usage data, explore trends, and make informed decisions without requiring SQL knowledge or analyst involvement. Their existing setup was fragmented, time-consuming, and not scalable for cross-functional insights.
We collaborated closely with product, operations, and data teams at Twitter to identify the most common reporting needs and build a centralized, easy-to-use dashboard. Our focus was on making data accessible, actionable, and visually intuitive—while integrating securely with internal infrastructure and automating routine reporting logic.
AI-powered internal analytics platform for enhanced decision-making
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