pharma

The top barriers to big data adoption in pharma R&D

Big data is an over-used and often a misunderstood term. IBM has added to its original 4 Vs of big data (volume, variety, velocity, veracity) with a fifth V – value. According to them, big data can ‘give you the ability to achieve superior value from analytics on data at higher volumes, velocities, varieties or veracities’.   In life sciences, the rapid digitalisation of R&D creates vast amounts […]