A leading global healthcare and clinical research organization was facing a growing challenge in delivering timely, actionable insights from its vast clinical trial data ecosystem.
Business users increasingly relied on data to drive decisions, yet obtaining insights often required submitting requests to IT teams, creating bottlenecks that slowed reporting cycles and limited business agility.
The client sought a modern solution that would democratize access to data, reduce dependence on technical teams and enable real-time decision-making through an intuitive user experience.
That’s where Persistent’s iAURA-powered Generative AI analytics platform transformed the way clinical data was accessed, analyzed and consumed.
When Traditional Reporting Becomes a Business Constraint
The client’s existing reporting model was not built for the speed, flexibility and scale required by modern clinical analytics.
- Business teams frequently requested custom reports from IT.
- Static reports failed to keep pace with evolving business requirements.
- Non-technical users lacked direct access to analytics.
- Complex clinical datasets required specialized technical skills.
- Existing reporting processes could not support real-time decision-making.
- Growing demand for self-service analytics increased pressure on IT teams.
The organization needed a more intuitive and scalable way to make clinical data accessible to business users without compromising accuracy, trust or control.
How Persistent Enabled Conversational Analytics with iAURA
Persistent implemented a GenAI-powered self-service analytics solution enabling business users to interact with enterprise data through a conversational chatbot experience.
Making Data Accessible Through Natural Language
The solution enabled business users to ask questions in everyday language and retrieve insights independently. This made analytics more accessible to non-technical users and reduced the friction typically associated with clinical data exploration.
With the conversational interface, users could:
- Ask questions using natural language
- Retrieve insights without technical expertise
- Access clinical and operational data independently
- Explore data interactively in real time
- Eliminate dependency on custom report development
Converting Questions into Actionable Insights
At the core of the solution was the ability to convert natural language questions into structured database queries. This allowed the client to bridge the gap between business language and technical data structures.
- Convert natural language questions into SQL queries
- Retrieve data from clinical databases
- Interpret business intent using GPT-4 powered reasoning
- Enhance results through contextual AI processing
- Deliver accurate and relevant responses
Bringing Analytics to Life Through Automated Visualization
Beyond answering questions, the platform also helped users visualize results in a more consumable format. Automated visualization capabilities allowed users to generate charts and explore insights more effectively, making the analytics experience more interactive and decision-friendly. The solution supports:
- Automated chart generation
- Bar, line and pie chart visualizations
- Export to Excel and PNG formats
- Interactive exploration of results
- Built-in analytics and reporting functionality
Delivering Measurable Business Impact
The platform delivered measurable improvements in reporting efficiency, user adoption and insight accessibility across the organization, leading to:
- 95% reduction in reporting development effort
- 6,700+ users enabled on the platform
- 85% reliable query results
- Faster access to clinical and operational insights
- Increased business user autonomy and productivity
From Reporting Requests to Intelligent Conversations
Today, business users can engage directly with clinical data through natural language conversations, eliminating delays and complexity associated with traditional reporting models. By transforming reporting requests into intelligent conversations, the client can provide its business users faster, more intuitive access to clinical and operational insights.
The solution enabled users to engage directly with data through natural language, reducing delays and removing the complexity associated with traditional reporting models. It also helped IT teams shift from repetitive report development and focus on higher-value initiatives.
Persistent’s iAURA transforms how healthcare organizations access insights, unlock data value and accelerate decision-making through Generative AI.
