BenchSci, a pharmaceutical company, employs cutting-edge AI technology to rapidly bring life-saving medicines to market. Their ASCEND technology uses AI as an assistant to preclinical research and development scientists to discover and evaluate experimental data, optimize research strategies, and mitigate potential risks. BenchSci's analytics team, consisting of six members, utilizes Dagster to manage vast data sets into actionable insights. The team faced challenges such as a growing set of heterogeneous tools, lack of observability, and cost management. They selected Dagster due to its ability to offer effective data management, isolated development environments, seamless integration, event-driven automation, ease of deployment, and alignment with their vision for efficient and responsive data handling. With Dagster's setup, the team can streamline complex workflows, enhance data reliability, and reduce computational costs and data errors. The framework enables BenchSci to view analytics as a product, derive actionable insights from platform usage and business decisions, and integrate its capabilities further into its analytics framework.