Big Data: the engine of the revolution
Posted: Sun Jan 12, 2025 4:18 am
At the origin of the Digital Transformation in the pharmaceutical sector (as in all other sectors) there is something decisive, but also very simple: an enormous availability of data that the Internet (in all its forms) has made available . This is what the much-cited Big Data are: the digital traces that we all disseminate, almost at every moment, and from many different devices.
For some time now, in addition to "humans" (with their devices), objects have also algeria phone data become increasingly interconnected online . Translated: a new enormous amount of data. This is what is meant by IoT (Internet of Things). The result is that today companies have at their disposal , for the first time in history , an almost infinite amount of information on both their processes and their consumers .
The challenge is to collect this information, but – above all – to interpret it in a way that makes your business more efficient, from production to distribution, right through to marketing and Customer Care , and this is what all the leading pharmaceutical companies are doing, and they are even going further, using Big Data analysis to improve the quality of their products , keep side effects and their diffusion under control , monitor and make the distribution network more efficient , evaluate the life stages of drugs and patient reactions (on a small or very large scale).
For some time now, in addition to "humans" (with their devices), objects have also algeria phone data become increasingly interconnected online . Translated: a new enormous amount of data. This is what is meant by IoT (Internet of Things). The result is that today companies have at their disposal , for the first time in history , an almost infinite amount of information on both their processes and their consumers .
The challenge is to collect this information, but – above all – to interpret it in a way that makes your business more efficient, from production to distribution, right through to marketing and Customer Care , and this is what all the leading pharmaceutical companies are doing, and they are even going further, using Big Data analysis to improve the quality of their products , keep side effects and their diffusion under control , monitor and make the distribution network more efficient , evaluate the life stages of drugs and patient reactions (on a small or very large scale).