Big Data and the Pharma 4.0 revolution
Posted: Tue Jan 07, 2025 5:58 am
So, as promised, let's start with the basics:
“ Big Data are very high volume, very fast and/or very varied information assets that require innovative forms of analysis and interpretation capable of improving insights, decision making and process automation”. This is the technical definition of Big Data given by Gartner . But let's go further; what types of data can be collected by companies? It is difficult to draw a armenia whatsapp resource complete list, but first of all we need to draw a line that divides the data relating to internal company processes (from production, to distribution, to personnel management, for example) from the data relating to management and communication with their customers . The latter can be divided into these macro-categories:
Demographic Data : information regarding age, gender, marital status, employment and income situation.
Psychographic Data : behaviors, beliefs, values, interests, lifestyles.
Geographic Data : geolocalization. A fundamental theme, especially for those players in the pharmaceutical sector (pharmacies first and foremost) that play their business on proximity.
Behavioral Data : this is data based on users' web browsing behavior, extracted from so-called "cookies".
Contextual Data : A very broad field that deals with context, the environment that surrounds us all; from news, to sentiment, to market swings.
First Party Data : data that a company (or a pharmacy) collects directly from its users and customers, for example through CRM (Customer Relationship Management) systems.
Of course, Big Data related to internal processes and those aimed at the outside have different applications, utilities and advantages . But both sides are fundamental. And, above all, it is of absolute importance to know how to integrate them. This is where the revolution of the so-called Pharma 4.0 starts , which, to put it briefly, is the application of the logic and dynamics of Industry 4.0 and digitalization to the pharmaceutical sector .
“ Big Data are very high volume, very fast and/or very varied information assets that require innovative forms of analysis and interpretation capable of improving insights, decision making and process automation”. This is the technical definition of Big Data given by Gartner . But let's go further; what types of data can be collected by companies? It is difficult to draw a armenia whatsapp resource complete list, but first of all we need to draw a line that divides the data relating to internal company processes (from production, to distribution, to personnel management, for example) from the data relating to management and communication with their customers . The latter can be divided into these macro-categories:
Demographic Data : information regarding age, gender, marital status, employment and income situation.
Psychographic Data : behaviors, beliefs, values, interests, lifestyles.
Geographic Data : geolocalization. A fundamental theme, especially for those players in the pharmaceutical sector (pharmacies first and foremost) that play their business on proximity.
Behavioral Data : this is data based on users' web browsing behavior, extracted from so-called "cookies".
Contextual Data : A very broad field that deals with context, the environment that surrounds us all; from news, to sentiment, to market swings.
First Party Data : data that a company (or a pharmacy) collects directly from its users and customers, for example through CRM (Customer Relationship Management) systems.
Of course, Big Data related to internal processes and those aimed at the outside have different applications, utilities and advantages . But both sides are fundamental. And, above all, it is of absolute importance to know how to integrate them. This is where the revolution of the so-called Pharma 4.0 starts , which, to put it briefly, is the application of the logic and dynamics of Industry 4.0 and digitalization to the pharmaceutical sector .