A global pharmaceutical company with diverse R&D projects was looking for a scientific data management solution that would work as a centralized repository for all data needs. The organization had various mechanisms to capture and store scientific data- all in different formats. Most often, these formats were not supported by the IT systems making it very difficult to search and retrieve data from a single, centralized location. This inevitably led to scattered data sets wherein a lot of data was made redundant. Pharma teams also lacked a unified view of files and metadata, making it very difficult to derive actionable insights for eventual decision making. 
Research and product managers could not easily search for existing data stored in different locations. 

The process of consolidating data from disparate sources and departments was time-consuming and error prone. Since data exchange was difficult, data silos was an administrative pain point leading to increased time to market.  

Scientific Data Cloud or SDC is a data solution that structures the data generated during R&D projects. This solution processes, stores, retrieves, reuses and analyzes scientific data across the organization into a centralized location. This way it strengthens the integrity of scientific data management processes and helps keep the data compliant with evolving regulatory guidelines. SDC also enhances data integrity and reduces the complexities of managing large volumes of drug and scientific data.  

Capture and use:

SDC optimizes the capture and use of varied data. This feature allows scientists to store scientific data files directly from instruments to a centralized storage repository. Once stored, the solution automatically links each data file to the electronic lab notebook, ensuring all research data is well organized and accessible for future reference.  



Search and retrieve:

The process of searching and retrieving data is easier with SDC. Instead of manually searching through large amounts of files, scientists can use the stored metadata in SDC to quickly locate and download files. This saves time and effort and ensures critical data is never lost or difficult to access. 



Reuse and analyze:

The third key capability, SDC allows scientists to visualize their data in a user-friendly way and derive actionable insights for decision making. Through interactive dashboards and tools like charts, graphs, and plots, researchers can analyze datasets more effectively. Project teams then identify patterns or trends in scientific experiments easily.