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Understanding the volume and complexity of data created throughout the scientific process is key.

Biopharmaceutical companies generate a vast amount of high-value process data that is typically stored in paper records, databases, electronic files and in the heads of key personnel. This makes obtaining an holistic view of the processes problematic.

Whether this is biologics experimental data recorded as part of cell line development, upstream, downstream, or analytical processes, or result and raw data generated through instrumentation; extracting, analyzing and reporting on this data in different formats, from disparate sources, can cost businesses results, time, and money.

The majority of biopharmaceutical organizations lack a standardized, comprehensive approach to data management, and exhibit a heavy reliance on paper-based, manual processes using siloed, unconnected systems.

The downside of a siloed data management approach

Biologics R&D organizations use a wide range of different informatics systems to support the daily activities within the lab. Many of these systems, such as chromatography data systems, serve a specific purpose and have had a positive impact on how the everyday work, of their scientists, is conducted.

The existence of these different systems is not, in itself, an issue. The issue is rather that these are typically disparate, unconnected systems and scientists have to manually move data between applications, using Microsoft Excel and paper records to act as the metaphorical ‘glue’ between them.

The siloed approach has negative and costly consequences – scientists are spending a lot of time manually processing, analyzing, managing and moving data and an unnecessarily large amount oftheir effort is focused on data administration. And more manual intervention means more errors – costing more time, and yes, even more money.

More topics:   The growth of biologics means more data

Is there another way?

The deployment of an enterprise-ready platform, designed for biologics data and workflow management can give labs the opportunity to assess and optimize their processes and deliver dramatic improvements in quality and productivity. It can provide a solid foundation to get far more out of data and also facilitate collaboration within organizations and their external partners, resulting in some truly transformational business changes.

To find out in more detail how biologics R&D labs can reach their full potential, you can watch our on-demand webinar anytime by clicking here:

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