Tackling Clinical Trial Data Overload with Data Lakes and Machine Learning

Gain a Competitive Advantage

Manage rapid data growth and access and analyze the diverse data generated in your clinical trials in real-time while improving operational performance and gaining a competitive advantage.

Key Points

  • Cut costs by up to 30% through a reduction in manual data aggregation and save up to 50% of your time mapping highly complex studies.
  • Leverage a patented clinical data hub using AI and ML to provide a 360-degree view and adapt to any data source or format you are ingesting.
  • Give your study teams in-depth, real-time oversight of data and metrics, making your trials safer, faster and more efficient.


    Related Reports

    Analytics and RBM for Clinical Trial Oversight

    Overview: Proponents of Risk-Based Monitoring (RBM) report a dramatic reduction in on-site monitoring costs. In addition to this cost reduction, data quality and quality oversight is significantly enhanced by effective RBM.

    Thoughtsphere Analytics Company

    Overview: Clinical trials are ever increasing in complexity and the regulatory bar is ever rising, so biopharmaceutical companies are turning to innovative businesses. Technological methods to address their challenges …