Big data analytics in the pharmaceutical industry is changing drug development and delivery. Enormous volumes of data enable a pharmaceutical company to make more informed decisions and work much more efficiently.
Predictive analytics facilitates demand estimation and proper supply chain management, hence ensuring drugs are always available. Personal medicine ensures that treatment is given according to the individual patient's condition and is therefore effective. Real-time analytics in clinical trials run the changes with patients, and on time, spot any emerging problems, hence fast-tracking drug development. Big data also plays a very key role in discovering side effects and improving the safety of drugs.
In the future, as data analytics further develops, it could be that, by the big strides ahead in the treatment of pharmaceuticals, there are more effective treatments and better health outcomes for all.