Jessica Iannelli

Most lab organizations are sitting on more data than they know what to do with: service  histories, utilization metrics, asset records, sensor feeds, spend data. But raw data is not insight. This interactive workshop challenges attendees to confront an honest question: how well do you understand what your lab data is telling you? 

Drawing on real-world use cases from across a portfolio of global biopharma accounts, presenters will guide participants through the journey from fragmented, inconsistent data to actionable intelligence and the organizational maturity required to get there. Attendees will work through real examples, benchmark their own programs against common patterns, and leave with a practical framework for advancing data-driven decision-making in their lab environment.

This is not a product demo. It is a working session designed for lab operations, data, and program leaders who want to close the gap between the data they collect and the decisions it should be driving.

Key Takeaways:

• Understand the most common ways lab data gets misread, ignored, or misused and how to fix it
• See the measurable value of consolidating service, utilization, asset, and spend data into a unified view
• Learn how to assess your organization’s data maturity and identify the highest leverage next step
• Benchmark your program against real-world patterns from across the industry
• Walk away with a practical framework for turning data signals into operational decisions