
Real-Time Analytics
Provides dynamic insights with customizable dashboards for real-time data analysis and decision-making.
Overview
Cloudbyz Real-Time Analytics empowers decision-making with dynamic insights through customizable dashboards. It provides instant access to key performance drivers and real-time analytics, enabling businesses to navigate towards success efficiently. The platform offers a comprehensive corporate scorecard that gives an overview of quality and safety processes.
Features of Dashboards and Reports
- Tailored Dashboards: Create customized dashboards for different roles, ensuring relevant information is delivered to study managers, sites, and sponsors.
- Early Problem Detection: Use data visualization tools like charts and tables to identify trends and potential trial challenges quickly.
- Real-Time Data Access: Refresh dashboards with a single click to get immediate insights into current trial statuses.
- Unified Perspective: Integrate with third-party analytics for a consolidated view across systems.
- Report Builder: An intuitive drag-and-drop interface simplifies report creation, aiding swift decision-making.
- Data Governance: Control data access and reporting with adaptable security features.
- Automated Reporting: Schedule reports to be delivered regularly, enhancing productivity.
- Customizable Reports: Use predefined filters and export data in various formats.
- Collaboration Facilitation: Connect with colleagues and stakeholders without transferring task ownership.
- Mobile Access: Access the platform on any device, ensuring uninterrupted operations.
The platform is particularly beneficial in clinical trials, where maintaining control over compliance and quality is crucial. It provides a holistic view of trial health, featuring benchmarks and vital metrics, eliminating the need to search through multiple reports.
Meta
Category
Clinical Data IntegrationField(s)
Clinical & TrialsCollaboration & Knowledge
Target user(s)
Clinical / Diagnostic ProfessionalBioinformatician / Data Scientist
Tag(s)
Clinical Trials Management


