Is more detailed aggregation of data on consumers and patients is growing chaos if the new value and opportunity for pharmaceutical marketing? Big Data is after all nothing but a huge amount of still smaller increments information - hundreds, thousands, tens of thousands, etc.. Data.
So! Big Data is not even the future and the present. It is becoming more and more detailed and allow for extensive customization data in the context of the habits and needs of customers for our actions as a company or pharmaceutical marketing agency. On the basis of this information, we can create more and more new collections and target groups for medicines and supplements. From the point of view of the Agency, that support their corporate clients - Big Data is a chance for even better and more comprehensive consumer insights to create and plan more effective campaigns dedicated to specific audiences.
After all know the daily habits and choices of patients, consumers, doctors, their activity based on the schedule of the day and hour of the week, order 
decisions (for example.: online or even in a pharmacy or medical clinic) a chance for even more effective to adapt to their expectations with our promotional or educational message. Some of this data gathering our systems, but the rest of the already more advanced commercial new analytical tools. For this course, the next step is to link the information on the basis of correlations. There remain, however, still not fully developed areas for Big Brother (for example.: aggregation of data from purchases made by patients in pharmacies and their correlation in terms of a basket of products), but it is rather a matter of time.
Big Data is therefore a new variable in the equation containing patient and consumer, and the purpose of which (the aim of the equation) is to effectively reach out to specific audiences campaign, at a specific time and specific needs. Question how many pharmaceutical companies do not use this variable? But in an era of rapid explosion of data it is the most optimal use of Big Data will determine the success or failure of our.
