From Chaos to Clarity – How FAIR Data Principles Power Clinical Analytics Success

Excessive time spent on gathering and preparing data hinders clinical teams from promptly delivering clinical analytics and visualizations to power crucial decisions. Implementing the FAIR guiding principles—ensuring data is Findable, Accessible, Interoperable, and Reusable—enhances data management, reduces delays, and minimizes manual efforts. This, in turn, allows more time for maximizing the value of clinical data through analytics. Improved data quality and harmonization drive AI/ML and other analytics, enabling the rapid delivery of safety, efficacy, and operational insights.

Efforts to decrease the time invested in preparing analytics-ready data empower analytics professionals to focus on innovative, high-impact applications such as machine learning, predictive alerts, and cross-study analysis.

In this webinar, you will learn:

• The key challenges in accessing & preparing analytics-ready clinical data
• How FAIR guiding principles can help you maximize the value of clinical trial data
• The impact of innovative clinical trial analytics including ML, predictive alerts, and Spotfire^® visualizations