SAW supports reading from a variety of data source systems - local database, cloud providers or other DCP modules.
Datasets can be effortlessly displayed, edited, and downloaded. We distinguish between datasets for non-GMP and GMP use, implementing a stringent "4 eyes principle" control for ...
The Batch Data Studio in DCP provides a user-friendly environment for batch processing and analysis of data. It enables you to perform a simple data ...
Cluster analysis is a fundamental tool for data segmentation and pattern recognition. DCP's Batch Cluster Analysis feature allows you to efficiently group batches based on ...
SAW supports reading from a variety of data source systems - local database, cloud providers or other DCP modules.
Datasets can be effortlessly displayed, edited, and downloaded. We distinguish between datasets for non-GMP and GMP use, implementing a stringent "4 eyes principle" control for the latter. Manual edits are preserved through automatic updates, and a detailed audit trail logs all actions, ensuring transparency and compliance.
Within the process of analysing data, often data transformations need to be applied. Therefore, SAW supports a bunch of data transform operations.
Our analysis pages provide a wide range of presentation options for conveying trends, comparisons, and individual data points. With diverse chart types, single value displays, tables, and images, you can create a compelling, data-driven story in one user-friendly platform.
Elevating your data analysis and reporting capabilities, this solution seamlessly integrates multiple analysis pages into an intuitive app. It simplifies access management and supports routing and click events to streamline business workflows. Additionally, you have the flexibility to distribute analyses as custom applications across your organization or selectively, ensuring versatility and security.
