Clinical, operational, and financial data together at last.
Saama’s Data Hub is the most powerful data ingestion solution in the clinical research industry, centralizing and standardizing high volumes of data from any source. Eliminate manual data aggregation and reconciliation processes, allowing your team to generate insights from your data, not manage it.
Empower your clinical teams with the ultimate flexibility to capture data from any source, with 40+ pre-built connectors and file-based ingestion.
Centralize and standardize your clinical, operational, and financial data to quickly generate insights.
Configure each new study easily and scale from individual studies to an entire portfolio of large, global studies.
Monitor study progress in real-time to identify and mitigate potential roadblocks.
Empower your clinical teams with the ultimate flexibility to capture data from any source, with 40+ pre-built connectors and file-based ingestion.
Centralize and standardize your clinical, operational, and financial data to quickly generate insights.
Configure each new study easily and scale from individual studies to an entire portfolio of large, global studies.
Configure each new study easily and scale from individual studies to an entire portfolio of large, global studies.
Chief Efficiency Officer
All the features you need to centralize, standardize, and utilize your study data quickly and easily.
Data Hub supports the ingestion of both structured and unstructured data, including flat files, in real-time. The system accepts data from all standard sources and easily integrates clinical, operational, and financial data in one location.
Data is mapped into a standard data review model using 30+ out-of-the-box functions. You can even assign different data standards by study or groups of studies.
Users can upload blinded datasets, and even mask parts of a dataset and restrict access.
AI algorithms can help predict the correct mapping between the source data and the target standard.
Organizations can ensure data access to critical business functions while maintaining data security and privacy.
Run custom queries across multiple layers securely, granting direct access to raw data that can be joined and analyzed using SQL syntax while maintaining robust privacy and role-based controls.
Centralized library of reusable metadata maps, custom functions, and reference data to keep transformations consistent across studies.
Validated workflows to promote tested library and study configurations between environments to speed onboarding and reduce manual errors.
Data Hub supports the ingestion of both structured and unstructured data, including flat files, in real-time. The system accepts data from all standard sources and easily integrates clinical, operational, and financial data in one location.
Data Hub supports the ingestion of both structured and unstructured data, including flat files, in real-time. The system accepts data from all standard sources and easily integrates clinical, operational, and financial data in one location.
Data Hub supports the ingestion of both structured and unstructured data, including flat files, in real-time. The system accepts data from all standard sources and easily integrates clinical, operational, and financial data in one location.
Data Hub supports the ingestion of both structured and unstructured data, including flat files, in real-time. The system accepts data from all standard sources and easily integrates clinical, operational, and financial data in one location.
Data Hub supports the ingestion of both structured and unstructured data, including flat files, in real-time. The system accepts data from all standard sources and easily integrates clinical, operational, and financial data in one location.
Data Hub supports the ingestion of both structured and unstructured data, including flat files, in real-time. The system accepts data from all standard sources and easily integrates clinical, operational, and financial data in one location.
Data Hub supports the ingestion of both structured and unstructured data, including flat files, in real-time. The system accepts data from all standard sources and easily integrates clinical, operational, and financial data in one location.
Data Hub supports the ingestion of both structured and unstructured data, including flat files, in real-time. The system accepts data from all standard sources and easily integrates clinical, operational, and financial data in one location.
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According to the Tufts Center for the Study of Drug Development, the average clinical trial can take 7–10 years from discovery to approval, and delays…
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