As data becomes more voluminous and complex, mitigating data quality risk becomes increasingly difficult. Saama makes it easier for Data Managers to keep data clean and up to date, resolve queries faster, coordinate activities from start-up to database lock more efficiently, and make strategic contributions to risk-based monitoring (RBM) initiatives.
- Unify and standardize data from disparate systems
- Deliver real-time and predictive data analytics for greater visibility and faster identification of data quality issues
- Quickly configure and distribute dashboards using the latest data
Ensure sponsor success by tracking studies in real time and proactively identifying issues that could damage data quality or delay database lock.
- Monitor every study across disparate data systems
- Automate alerts to address data quality issues more quickly
- Gain actionable insights to help mitigate risk
With a central repository for safety and subject-level data owned by sponsors and CROs, Data Managers and medical review teams can avoid duplication and collaborate more effectively.
- Focus on the most relevant data points
- Automate alerts for better responsiveness to data quality issues
- Easily move from an aggregate data view to a patient-specific view