A major American biopharmaceutical company needed a faster, more efficient way to generate actionable insights from vast and complex datasets, and its existing system wasn’t built for that pace. Traditional static reports, generated manually, were slowing down critical decision-making processes and significantly increasing operational costs. The system relied heavily on BI engineers to generate custom reports, which led to delays, reduced flexibility, and a high dependency on technical teams. That lack of self-service capability for business users limited their ability to perform timely analysis, and the absence of prescriptive analytics limited the company’s ability to derive advanced insights or understand the “why” and “what” behind business events, making strategic decision-making inefficient. As the volume and complexity of data grew, the need for real-time insights, deeper analytics, and the flexibility to explore data interactively became essential for enhancing operational efficiency and supporting informed, strategic decisions, and the organization was struggling to keep pace with industry demands.
Ascendion developed a Generative BI solution called Query Genius to address these challenges directly, seamlessly connecting with structured datasets from data lakes and databases to enable real-time interaction and insights generation.
Business users can now intuitively query data using natural language, exploring the reasons and details behind events rather than just the surface numbers. The solution leverages Generative AI to deliver extractive and deductive intelligence, enhancing decision-making capabilities across the business, while dynamically generated code integrates directly with UX dashboards to provide clear, actionable data visualizations. Altogether, the solution reduced dependency on BI engineers and empowered business users with faster, more accurate insights they could generate independently.
Tech Stack:
Delivered 80% faster analysis, accelerating data analysis and insight generation compared to traditional methods.
Achieved 95% accurate responses, improving accuracy in interpreting and visualizing insights.
Reduced dependency on BI engineers, empowering business users to generate insights independently.
Enhanced visualization through seamless integration of dynamically generated code with UX dashboards, ensuring effective data visualization.
