Pharmaceutical R&D is on the forefront of the big data innovation. Improvements in technology and research instruments and the digitization of the laboratory notebook are all contributing to the rapid and relentless rise in data volume, variety, and velocity. Challenges associated with rapidly increasing data are compounded by a highly fragmented data management environment that has grown and morphed through cross-organizational collaboration, mergers and acquisitions, and a historic lack of comprehensive data management strategy.
Incorrectly managed, this influx of data may hamper efficiency rather than improve the speed and accuracy of drug discovery. Informatica can pull together data from multiple source systems, creating links in data sourced from R&D systems to external libraries to reduce the risk of drug discovery projects failing. The value of clean integrated data can be felt in different ways, including:
Given the rise in the amount of data available within R&D, the increasing cost of storing and managing data is becoming significant, despite the falling cost of storage. While much of this data must be retained, it is not necessarily accessed on a regular basis. Data archiving policies should be drawn up and enforced. Archiving does not mean a lack of access, with Informatica Data Archive, data search and reporting is maintained over highly compressed data. Data life cycle management can remove millions from the R&D (and other) IT budgets and free up production systems for faster processing.